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Most enterprises already had an AI agent security incident. Here's why hiring a human for oversight still beats trusting the agent alone.
Statistical Analysis is the practice of using data to identify, understand, and shed light on relationships between corresponding elements. Statistical Analysers specialize in using such data to draw conclusions and suggest potential strategies or next steps when doing research. To do this, they must be well-versed both in the domain and in the process of collecting, analyzing, and interpreting data.
Simply put, a Statistical Analyser is someone who can transform an overwhelming amount of data into clear insight. Whether it’s a medical research project or predicting particular outcomes from a set of variables, these professionals are able to get the information you need to take your project to the next level.
Here's some projects that our expert Statistical Analysers made real:
As illustrated above, finding reliable insight requires more than just a basic understanding of math and software packages. By hiring an experienced freelancer on Freelancer.com with an expertise in Statistical Analysis you can save yourself time, energy, and possibly money. So if you’re looking for reliable insight from a large set of data, why not post your project on Freelancer.com today? With our skilled Statistical Analysers, your success is pretty much guaranteed!
从73,321个评价中,客户给我们的 Statistical Analysers 打了4.9,共5星。Statistical Analysis is the practice of using data to identify, understand, and shed light on relationships between corresponding elements. Statistical Analysers specialize in using such data to draw conclusions and suggest potential strategies or next steps when doing research. To do this, they must be well-versed both in the domain and in the process of collecting, analyzing, and interpreting data.
Simply put, a Statistical Analyser is someone who can transform an overwhelming amount of data into clear insight. Whether it’s a medical research project or predicting particular outcomes from a set of variables, these professionals are able to get the information you need to take your project to the next level.
Here's some projects that our expert Statistical Analysers made real:
As illustrated above, finding reliable insight requires more than just a basic understanding of math and software packages. By hiring an experienced freelancer on Freelancer.com with an expertise in Statistical Analysis you can save yourself time, energy, and possibly money. So if you’re looking for reliable insight from a large set of data, why not post your project on Freelancer.com today? With our skilled Statistical Analysers, your success is pretty much guaranteed!
从73,321个评价中,客户给我们的 Statistical Analysers 打了4.9,共5星。I’m looking for an experienced operations professional who can be physically present at our site each working day and take full ownership of daily activities. Your core mandate is straightforward yet critical: keep the operation running smoothly while steadily making it better. What you’ll be doing • Oversee all day-to-day workflows, quickly removing roadblocks so the team can stay productive. • Manage discrete projects from kickoff through completion, coordinating people, timelines, and resources. • Spot bottlenecks or waste and drive process-improvement initiatives that raise efficiency and quality. Essential skillset • Team management – you know how to motivate, coach, and hold people accountable. • Data analysis – you’r...
Journal partition: SSCI Q3-Q4 OA or non OA publications I need you to match 3-5 journals based on my topic, and I may submit them based on the journals you provide me with in the future, 3、 Writing requirements: Write according to my paper title and journal requirements, and provide necessary journal requirements documents, including an AI plagiarism report Turnitin (Artificial Intelligence) (1) Word count: 5000-8000 words (2) Formulas and symbols: cannot exist in image format, nor can they be created using Word's formula editor. Please format all formulas using MathType to ensure that the font and size match the text. (3) Formula number: All formulas must be numbered in the order of (1), (2), (3), etc. (4) Image resolution: Must be at least 300dpi. (5) Language: The entire text must ...
I’m commissioning a focused feasibility study for a proposed hydropower installation. The core of the assignment is a thorough hydrological analysis built exclusively on the historical rainfall data I will provide. You’ll be expected to translate that rainfall record into reliable runoff estimations, reservoir yield curves, flow-duration curves, and ultimately an energy-generation profile that can feed into later economic and technical assessments. If you have access to additional datasets—such as river-flow gauging or groundwater levels—feel free to flag how they might refine the results, but they are not mandatory for this phase. Please deliver: • A concise methods section outlining software, models, and any statistical techniques used (e.g., HEC-HMS,...
I'm seeking an experienced academic writer to assist with the analysis section of my PhD thesis. The focus is on qualitative analysis. Key Requirements: - Expertise in qualitative research methods - Ability to interpret and analyze complex data - Experience with academic writing at the PhD level - Strong analytical and critical thinking skills - Familiarity with relevant software and tools for qualitative analysis Ideal Skills and Experience: - Advanced degree in a related field - Proven track record in academic writing and research - Excellent command of academic language and structure - Attention to detail and ability to meet deadlines Please provide samples of previous work and a brief outline of your approach to this task.
I have a historical lending dataset that requires a full end-to-end machine-learning workflow. First, I need thorough data preprocessing and exploratory analysis: identify and treat missing values, detect and cap or remove outliers, and inspect the class distribution. In this project the key concern is minority class under-representation, so any resampling or cost-sensitive approach you propose should directly address that imbalance. For feature engineering I want, at minimum, robust encoding of all categorical variables and consistent scaling or normalizing of the numeric fields before they enter the models. Feel free to add creative interactions if they genuinely improve recall without overfitting. Once the data pipeline is solid, train and compare several classification algorithms&mda...
I’m building a full-basin SWAT+ setup for the Eastern Nile and want support completing the simulation and forecasting phase. The core of the assignment is to ingest and pre-process hydrological data—daily river flow, rainfall, temperature and PET—and integrate those inputs into a calibrated SWAT+ model that can reliably project runoff, streamflow and water balance under multiple climate and management scenarios. What I already have • 30-arc-second DEM, preliminary sub-basins and HRUs • Raw gauge data from ENTRO, CHIRPS rainfall grids and NASA POWER climate series • Land-use and soil shapefiles (pre-processed) Where I need your expertise • Fill gaps in the hydrological series, apply bias correction and trend checks • Finalise watershe...
Where i can find people for testing AI in code and other for traning AI7 B2B/Freelance Engagement: AI Code Evaluation Specialist (Long-Term) We are recruiting professional Software Engineers (Python / JS / TS) for a large-scale AI alignment and technical training project. Key Responsibilities: • Review and debug AI-generated code. • Write granular, analytical feedback in English explaining architectural choices, bugs, and performance optimization steps. Critical Compliance Rules: 1. Fluent Technical English: High-quality writing is just as important as clean code. 2. Zero AI Tool Policy: No ChatGPT, Claude, or Copilot allowed for executing your tasks. We perform strict anti-fraud and signature audits. 3. Professionalism: Stable commitment and strictly tracked active work...
I'm seeking a freelancer to assist with the descriptive analysis for my DNP project. This project focuses on patient care improvements, specifically through the evaluation of a nurse-driven catheter protocol. Key Requirements: - Conduct a thorough descriptive statistical analysis. - Focus on patient care metrics. - Provide clear, actionable insights from data. Ideal Skills: - Expertise in descriptive statistics. - Experience with healthcare data, particularly in patient care contexts. - Strong analytical and reporting skills.
I'm seeking an expert in predictive modeling to develop a point spread prediction model for NFL games. This model will be crucial for making informed betting decisions. Key Requirements: - Develop a statistical model to predict point spreads - Use historical data and advanced algorithms - Provide clear documentation and usage guidelines Ideal Skills and Experience: - Strong background in statistics and machine learning - Experience with sports data, especially NFL - Proficiency in Python, R, or similar programming languages - Ability to deliver within a month
The statistical groundwork is finished: 106,000+ football matches and more than 48 million individual odds movements are already structured, cleaned, and sitting in Python-ready data stores. What I need now is a fresh layer of intelligence that can teach this data to speak—specifically, to surface the hidden structures that govern betting-market behaviour. We have all the ground work laid and there is no statistical obvious deviation that favors the bet placer ONLY the BOOKIE over 106K of matches - your suprised? We are NOT. The person we are looking for is not only a PYTHON engineer as the bookies will never unravel their software laid bare for the 100's thousands of python engineers to pick apart and profit from. NO - we are looking for a out of the box thinker that can scram...
Nvivo coding and thematic analysis. I will provide the raw data. I need the full output raw coding then full chapter analysis of finding with diagrams and tables and references
Saya memiliki kumpulan data penjualan dan memerlukan analisis statistik lengkap langsung di Excel. Saya ingin: • Perhitungan statistik deskriptif: rata-rata, median, standar deviasi, dan ukuran sebaran lain yang relevan. • Uji atau pemodelan sederhana (misalnya korelasi, regresi linier) untuk melihat hubungan variabel kunci. • Ringkasan temuan dalam tabel pivot serta grafik yang mudah dipahami manajemen. • Catatan langkah-langkah (atau macro/VBA jika diperlukan) agar proses bisa saya ulang di masa depan. File sumber akan saya berikan dalam format .xlsx. Kerjakan sepenuhnya di Microsoft Excel; tidak perlu software eksternal. Hasil akhir yang saya harapkan adalah: satu file Excel berisi lembar data bersih, lembar analisis, visualisasi, dan ringkasan insight, plus ...
I'm seeking an SPSS expert to analyze survey data using factor analysis. The dataset includes 10 to 50 variables and is already preprocessed. Key Requirements: - Proficiency in SPSS - Expertise in factor analysis - Experience with survey data Please provide a brief outline of your approach and relevant experience.
I am running a biological-research project that zeroes in on the architecture of the cell and how that architecture drives function. The work revolves around detailed examination of cell structure—organelles, membranes, cytoskeleton—so that we can map what we see under the microscope to the roles each compartment actually plays. The raw material for the study will be high-resolution images (confocal, TEM or similar), relevant literature references I supply, and any quantitative assays you may suggest to back up the visual observations. From those inputs, I need: • A clear, well-annotated image set that highlights each major structural element we discuss • A concise data table (or spreadsheet) quantifying size, density or spatial distribution metrics where possible...
I have a market research survey that needs to be programmed from scratch inside the Decipher portal. Once the questionnaire is live I will also need help pulling, cleaning, and analysing the data, so I am specifically looking for someone comfortable with both Decipher scripting and data analysis. Here is what I have in mind: the questionnaire will be supplied in Word; you will translate it into Decipher, set up all logic, branching, quotas, and quality checks, then hand me a fully tested link ready for fieldwork. After field closes, I will rely on you to export the raw data, create the required tables and visualisations, and highlight the key findings. Deliverables • Fully functional Decipher survey link, tested and ready to launch • Clean data file (SPSS or Excel) with lab...
I have a structured dataset in Excel/CSV format that first needs a careful clean-up—removing duplicates, fixing missing values, standardising column types—before moving on to analysis. Once the data are reliable, I want to explore them to spot meaningful trends and recurring patterns. Think of what you would normally do in an exploratory data analysis: descriptive statistics, correlation checks, simple feature engineering when it adds clarity, and then the visual story told through clear charts and graphs. Preferred tools are flexible; Python (Pandas, NumPy, Matplotlib, Seaborn, Plotly) or R (dplyr, ggplot2) work equally well, and I am happy to discuss alternatives if they speed up the workflow or improve visual impact. Deliverables • A cleaned dataset in the original ...
I am finalising an export-entry strategy for millets in South Africa and Tanzania and need a focused research package completed within 7–10 days. Your work should quantify current and forecast demand, map key competitors along the value chain, and document wholesale-to-retail price movements for both conventional and certified-organic millets. Primary data is essential. I place the greatest weight on interviews with importers, millers, traders, major retailers, and relevant government officials who can validate volumes, pricing, and regulatory nuances. Desk sources such as customs data, trade dashboards, and industry publications may be used to triangulate findings, but the core insight must come from those on the ground. Deliverables • Market overview for each country: annu...
Paid Project for Life-Sciences Experts — Project Brief Recording real analysis work to help train AI. Remote, flexible, and paid per task. What this is This project collects recordings of experienced scientists performing real analysis work in scientific software. As each task is completed in the contributor's usual tool, the screen, actions, and spoken reasoning are captured. These recordings are used to train AI to operate scientific software properly, a capability current models still lack. In short: the contributor's expertise doing the work is the product. No surveys and no clicking exercises, only real, careful analysis of the kind already performed in the contributor's normal work. Which tools Experts are being recruited in one or more of these five tools: &bull...
I have a collection of raw Excel/CSV files and I need a concise descriptive analysis that highlights how different categories stack up against one another. Your task is to explore the data, surface the key comparisons, and translate those findings into a clear, visually engaging PowerPoint deck. Here’s how I see the workflow: first, clean and structure the spreadsheets, then run the descriptive analysis focused strictly on category-to-category comparisons—no forecasting or optimisation, just solid snapshots of where each group stands. From there, transform the insights into charts and succinct takeaway points that I can present to non-technical stakeholders. Deliverables • A neatly organised working file (Excel, CSV, or a Jupyter notebook) showing the steps you took ...
I will share a clean survey dataset and need it explored in SPSS so that all three of my research objectives are answered convincingly. The work centres on descriptive statistics, and I specifically want the “Corelational” angle I noted to be addressed alongside the usual measures. You will run the analyses in SPSS, generate clear, publication-ready graphs, and produce a concise narrative explaining what each result means for my objectives. Please organise the output so I can trace every figure back to its syntax or output file. Deliverables: • SPSS .sav file with all computed variables and syntax • Graphs (PNG / JPEG, high-resolution) tied to each objective • A short written report (tables embedded) interpreting the descriptive and correlatio...
I need a focused export market study on conventional and organic millets in South Africa and Tanzania, to be completed within 7–10 days. The report must quantify market size, recent growth trends, and demand drivers, then map the competitive landscape — local processors, importers, leading retail brands, and any emerging organic specialists. I also want clear insight into consumer preferences, from packaging formats to price sensitivity and perceived health benefits. My real interest sits at the processing & distribution stage and at retail / end-consumer level, so please drill deepest there. Primary data gathered through brief trade or retailer interviews is welcome, but desk research from reliable sources (government trade stats, Euromonitor, Nielsen, FAOSTAT, Mintel, et...
I need an experienced researcher who can keep me ahead of the curve on fast-moving geopolitical developments. Your core brief is international relations, but each report must weave in the economic, trade, and security dynamics that shape diplomatic outcomes. Focus and scope • Diplomatic relations • Foreign policy analysis • Global governance structures Approach Mixed-methods analysis is essential. I expect you to triangulate open-source intelligence, academic literature, data sets, and on-the-ground media into concise, insight-rich briefs. Qualitative narrative must sit beside data-driven charts or visualisations that clearly support or challenge prevailing assumptions. Typical assignment rhythm 1. Agree on a trending issue—anything from shifting allia...
I manage a financial literacy initiative that now reaches more than 500,000 elementary, middle-school, and secondary students. As we scale, I need rigorous monitoring and evaluation that tells us exactly how our lessons improve students’ financial skill development in each age group. The assignment begins with a clear theory of change, then moves into instrument design—primarily large-scale surveys complemented by targeted student and teacher focus groups. From there we will agree on sampling strategy, fieldwork calendar, analysis approach, and the final deliverables I can share with funders and the Ministry of Education. Deliverables • Age-appropriate survey questionnaires and focus-group guides • Data-collection protocol detailing sample sizes and timelines ...
For thousands of years,humans have looked up at the night sky and wondered whether we are the only intelligent beings in the universe. With over a billion galaxies,each containing a billion stars,the idea that earth could be the only home of life seems both extraordinary and insane to imagine. Modern astronomy has made remarkable progress in searching for life beyond our on galaxy which is the Milky way galaxy,but the quest still remains as hypothesis: are we really alone in the universe?
For thousands of years,humans have looked up at the night sky and wondered whether we are the only intelligent beings in the universe. With over a billion galaxies,each containing a billion stars,the idea that earth could be the only home of life seems both extraordinary and insane to imagine. Modern astronomy has made remarkable progress in searching for life beyond our on galaxy which is the Milky way galaxy,but the quest still remains as hypothesis: are we really alone in the universe?
For thousands of years,humans have looked up at the night sky and wondered whether we are the only intelligent beings in the universe. With over a billion galaxies,each containing a billion stars,the idea that earth could be the only home of life seems both extraordinary and insane to imagine. Modern astronomy has made remarkable progress in searching for life beyond our on galaxy which is the Milky way galaxy,but the quest still remains as hypothesis: are we really alone in the universe?
I need an expert to estimate the maximum number of lots possible under R40/R60 residential zoning for subdivision. Requirements: - Optimize for maximum lots in a given land area - Use of zoning regulations: minimum lot size, setback requirements, and maximum building height Ideal Skills: - Experience with residential zoning regulations - Strong analytical and optimization skills - Ability to provide clear, detailed estimates
I have already finalised the research question and the inclusion-exclusion criteria; now I need you to carry the project through the evidence-selection stages. You will run the searches in four databases—PubMed, Cochrane Library, Scopus, and ERIC—export the results, de-duplicate them, and screen titles/abstracts and full texts against the criteria I provide. The review will consider randomized controlled trials, cohort studies, and case-control studies only. Every action needs to be fully traceable. Please take date-stamped screenshots at each major step (initial search, results export, de-duplication, title/abstract screening, full-text screening) and keep the original search files and screening logs so I can reproduce the flow if required. At the end, compile a PRISMA flow d...
I have a historical sales data set that needs a thorough, professional analysis. Your job is to import, clean, and explore this sales data, extract the key metrics that matter, and present findings I can act on immediately. Here’s what I have in mind: • Clean and structure the raw sales records so outliers, missing values, and inconsistencies are handled correctly. • Run exploratory and statistical analysis to surface patterns in revenue, volume, seasonality, and product performance. • Build clear visualisations—charts, tables, dashboards—so I can grasp results at a glance. • Summarise insights in a concise narrative report, highlighting opportunities and any red-flag issues you detect. I am open to whichever tool chain you work fastest with&md...
A clear, actionable day-trading playbook for the stock market is what I need. My focus is strictly on short-term, intraday moves rather than long-term holding or dividend plays, so every element of the material should reflect that. What I’m after: a complete strategy that covers market selection, proven entry and exit setups, risk-management rules, and position-sizing guidelines that can be followed in real time with commonly available platforms such as Thinkorswim or TradingView. Please incorporate practical examples using live or historical charts and show how to adapt the rules to different market conditions (trending, ranging, high-volatility sessions, and low-volume days). If you rely on technical indicators, spell out the exact settings. If the approach is more price-acti...
I’m looking for a comprehensive market analysis that zeroes in on the national landscape for my business. Your research should allow me to: • Pinpoint and size our ideal customer segments • Uncover current and emerging market trends • Map and benchmark key competitors across the country The finished work needs to be data-driven and clearly referenced so I can rely on it for strategic planning and investor conversations. Feel free to pull from Statista, IBISWorld, government datasets, industry reports, or original surveys—just cite everything. Deliverables • Executive summary (1–2 pages) • Full report detailing methodology, data, findings, and actionable recommendations • Slide deck highlighting the key insights for quick stakeh...
I need a concise, data-driven market study built around the North American Industry Classification System. The focus is on locating, cleaning, and preparing publicly available datasets (e.g., U.S. Census, BLS, SBA) that match the target NAICS codes, then running the statistical analyses that turn those raw figures into clear-cut insights on market size, growth rates, and competitive concentration. You will source only public databases—no internal company records or paid panels—so solid familiarity with government portals and open-data APIs is essential. Once the data are collected, I expect you to handle the full cleaning workflow (deduping, missing-value handling, correct NAICS code alignment) before moving on to the analytical phase. Basic descriptive stats are fine for an...
I need a clear, data-driven roadmap that shows exactly what it will cost to build a cocoa farm from one hectare all the way to 100 hectares. Please model every stage of development in daily increments so I can see how cash leaves the account each day until the farm is fully established. Cover the three big spending blocks—land acquisition, labour costs and all equipment & supplies—and be explicit about the timing of each outlay. Where purchase-versus-lease or manual-versus-mechanised options exist, highlight the cost impact so I can compare scenarios instantly. The numbers have to sit on solid evidence, so weave in up-to-date yield predictions for modern cocoa varieties, current and emerging market trends, and the broader economic impact of the project (ROI, payback perio...
This project centers on turning our raw operational and sales data into clear, actionable insight that drives day-to-day and strategic decision making. During a two-week training period you will be onboarded to our current databases, data-collection procedures, and reporting cadence; that phase is compensated at $25 per hour. Once fully ramped, regular work is billed at $60 per hour, with monthly earnings expected in the $25k–$45k range. Scope of work • Connect to existing SQL tables, cloud storage, and Excel feeds, then clean and consolidate the data. • Build repeatable Python or R scripts (your choice) that automate descriptive and diagnostic metrics. • Design intuitive dashboards in Power BI or Tableau so non-technical managers can track KPIs in real time. ...
I’m organising an on-site workshop for a group that already works confidently in Excel and wants to take their skills to the next level. The participants handle complex spreadsheets daily, so the content must dive straight into expert territory—no time spent on the basics. Core topics we need covered • Macros & VBA: writing, editing, and debugging code that automates repetitive tasks. • PivotTables & PivotCharts: building multi-layered summaries and interactive dashboards. • Data Analysis & Visualisation: advanced formulas, scenario analysis, and clear graphical storytelling that supports decision-making. What I’m after – A trainer who can run engaging, hands-on sessions at our premises (exact location and dates to be agreed). ...
I need a steady stream of original mathematics questions targeted at students in Classes 6 through 10. The final set should feel as if it came straight from a well-curated textbook or a board examination paper: clear wording, correct notation, and absolutely no plagiarism. Scope – Question styles: I’m concentrating on Multiple Choice and richer Problem-Solving items that push students to show working and reasoning. – Coverage: every topic that normally appears across national and state boards—Algebra, Geometry, Statistics, Mensuration, Number Systems, you name it. Organise the material by class and by chapter so that teachers can drop it straight into their lesson plan. – Difficulty mix: roughly 30 % foundational, 50 % standard, and 20 % challenge level...
I need a PowerPoint that walks through a complete yield-improvement study in the diffusion stage of semiconductor manufacturing. The story has to be driven by a combination of Design of Experiments and ANOVA, so that every slide shows why a factor was chosen, how the experiment was laid out, how the model was validated, and finally how much yield was recovered. Please assume I want to see: • a concise process overview that frames the diffusion bottleneck, • the raw or simulated data you analysed, • clear DOE tables (factor levels, runs, replicas), • ANOVA tables with p-values highlighted, • diagnostic plots, interaction plots and optimisation results, • the calculated gain in yield and the practical recommendation for the fab. If you already hav...
I’m in the home stretch of my economics thesis on how commodity prices and global financial conditions shape the Australian dollar, using Mexico as a benchmark. The first two chapters are drafted and already carry my supervisor’s detailed comments; they now need a polish—tighten the arguments, smooth out the language, and align every citation and section heading with our style guide. Where I need the most help is the final chapter. I have a partial dataset covering commodity indices, interest-rate spreads, and exchange-rate series, but gaps remain for the most recent quarterly figures and some Mexican financial variables. Once the dataset is complete, I want robust econometric testing (VAR, VECM, or a method you propose) that cleanly isolates the separate and joint impac...
I have a collection of unstructured data that needs to be mined and modelled in R so I can reliably forecast future trends hidden inside it. Your task is to walk the data through the full mining pipeline—from cleaning and feature extraction to model selection, validation, and interpretation—while grounding every step in fundamental data-mining principles. The work centres on: • Ingesting and preprocessing raw, unstructured text or mixed-format inputs. • Applying appropriate R packages (tidyverse, text mining suites, caret, or any other you feel is best) to transform the data into an analysable structure. • Building and evaluating predictive models that reveal upcoming patterns or shifts I can act on. • Supplying reproducible R scripts/notebooks, c...
This project centres on strengthening public health awareness through rigorous, up-to-date health education research. The immediate goal is to compile and analyse current evidence—peer-reviewed articles, official guidelines, and reputable grey literature—and translate those findings into clear, actionable insights that can inform future outreach campaigns. Scope of work You will: • Conduct a systematic literature search (PubMed, Scopus, WHO databases, and comparable sources) focused on recent public health awareness initiatives. • Extract and organise key data points in a clean, well-structured spreadsheet, ensuring accuracy and consistency. • Synthesize results into a concise narrative summary that highlights effective strategies, gaps in existing programme...
We are seeking a Market Research Executive from an African or Asian country to research the bed and bath textile market. Your role includes analyzing market trends, consumer behavior, and competitor activity to provide insights that inform business strategies. The ideal candidate will have experience in market research and analysis, with a strong understanding of the textile industry.
I need a steady stream of original mathematics questions targeted at students in Classes 6 through 10. The final set should feel as if it came straight from a well-curated textbook or a board examination paper: clear wording, correct notation, and absolutely no plagiarism. Scope – Question styles: I’m concentrating on Multiple Choice and richer Problem-Solving items that push students to show working and reasoning. – Coverage: every topic that normally appears across national and state boards—Algebra, Geometry, Statistics, Mensuration, Number Systems, you name it. Organise the material by class and by chapter so that teachers can drop it straight into their lesson plan. – Difficulty mix: roughly 30 % foundational, 50 % standard, and 20 % challenge level...
I have completed a paper titled “Audit Committee Overlap and ESG Performance: Does Serving on Multiple Committees Strengthen or Weaken ESG Oversight in S&P 500 Firms?” I got stuck with the analysis as i could not find data regarding one of the dependent variables. i want a well expericned researcher, with record of publications, to help me complete the analysis and argument for the paper to get it published in: • Indexed in Web of Science (Core Collection) • Classified Q2, Q3, or Q4 in the latest Journal Citation Reports • No article-processing charges or submission fees
I have completed a paper titled “Audit Committee Overlap and ESG Performance: Does Serving on Multiple Committees Strengthen or Weaken ESG Oversight in S&P 500 Firms?” I got stuck with the analysis as i could not find data regarding one of the dependent variables. i want a well expericned researcher, with record of publications, to help me complete the analysis and argument for the paper to get it published in: • Indexed in Web of Science (Core Collection) • Classified Q2, Q3, or Q4 in the latest Journal Citation Reports • No article-processing charges or submission fees
A 37 day, on-site module in Vijayawada begins 15 July 2026 and covers core Business Analytics concepts right through to intermediate-level AI insights. The audience is a batch of students who already use data in their daily roles, so the sessions must balance theory with immediately applicable, tool-driven practice—think exploratory data analysis, statistical modelling, predictive analytics and an introduction to generative AI techniques using mainstream platforms such as Excel, SQL and Power BI. I need offline trainer: • A complete training roadmap broken into daily objectives, and assessment checkpoints • Slide decks, datasets and code notebooks that I can keep for future cohorts • Brief post-training reports on participant progress and next-step recommendations...
DISCLAIMER: AI GENERATED PROPOSALS WILL NOT BE CONSIDERED I am seeking an experienced freelancer to enhance my hotel review analysis software by expanding its data visualization and analytical capabilities. The software currently scrapes reviews from platforms like and Google Maps and performs basic sentiment analysis. I aim to improve the visualization and analysis of this data to provide deeper insights into customer sentiments and trends. Objectives: Expand the data visualization capabilities of the dashboard. Implement advanced data analysis techniques to extract meaningful insights from the review data. Enable export functionality to generate editable PDF reports of the analysis and visualizations. Core Responsibilities: Data Visualization Enhancements: Expand the existing dashb...
Most enterprises already had an AI agent security incident. Here's why hiring a human for oversight still beats trusting the agent alone.
A new Gallup poll found small business the only U.S. institution with real bipartisan trust. Here's why that matters if you're building one.
Jamie Dimon says AI cut jobs 30–40% in some bank units. Real data shows the same finance work growing fast in the freelance market.