Custom Propensity Modeling Software

@Microlent

Hello! I can deliver a production-ready propensity-modelling platform that unifies your CRM, web analytics, and sales data into a single continuously updated system—then trains, evaluates, and serves the best-performing predictive models in real time. Proposed Approach 1. Data Integration & Quality • Automated ETL pipelines from CRM, analytics, and sales DB • Schema validation, deduplication, and data-quality checks • Incremental updates to keep the dataset fresh 2. Modelling & Evaluation • Modular training pipeline (regression, tree-based, neural, etc.) • Automated experiment tracking and model comparison • Lift, ROC/AUC, precision-recall reporting • Feature-importance and explainability visuals 3. Scoring & Access • Deployed scoring service via REST (or GraphQL) API • Low-latency real-time predictions • Lightweight web dashboard for non-technical users to explore scores and insights 4. Deployment & Handover • Deployment scripts (Docker / cloud-ready) • Environment setup and configuration docs • Live hand-over session covering retraining and monitoring If this aligns, we can lock scope and begin right away. Best regards, Jasmin

@n2rtechnologies

Hello, I understand you're looking for a custom propensity modeling software package that seamlessly integrates with your CRM system and website analytics. This solution will not only enhance your data-driven decision-making but also improve customer engagement and conversion rates. With my extensive experience in developing tailored software solutions, I can ensure that the modeling software will effectively analyze customer behavior and predict future actions. I will provide you with a robust system that delivers actionable insights, helping you optimize marketing strategies and increase ROI. Let's discuss your specific requirements and how I can help bring this project to life. Regards, Nurul Hasan

@qasaryome

Hi there! You need a propensity-modelling software package that plugs into your CRM, website analytics, and sales database, runs automated ETL + data-quality checks, trains/evaluates the best model (lift/ROC + feature importance), and serves real-time scoring via API plus a lightweight dashboard for non-technical users. Which CRM and analytics stack (GA4/Adobe) are you on? What’s the primary target label—purchase, MQL→SQL, churn, upsell? Do you need batch scoring + real-time scoring, or real-time only? I’m a Top 1% Full Stack Developer with 15 years experience and 265 5-star reviews, and I’ve delivered ML pipelines with experiment tracking, model governance, and production APIs that teams can actually maintain. I’ll structure this as modular services: connectors/ETL, training+tracking, model registry, scoring API, and a simple web UI for lift/ROC + top drivers. If you share sample schemas + access method (API/DB exports), then I’ll propose the pipeline architecture and start integration. Qasar Ayaz | Senior Full Stack Developer P.S. Should predictions be exportable (CSV/Excel/PDF) and should the UI include “what changed” drift alerts?

@ixorawebmob

Hello, I’ve gone through your project details, and I’m excited about the opportunity to help you build your custom propensity modeling software. With over 12 years of experience in data science and API development, I can deliver a robust and scalable solution that integrates seamlessly with your CRM, website analytics, and sales database. My approach involves setting up automated ETL jobs and data-quality checks, designing a modular training pipeline for predictive models, and creating a user-friendly dashboard to visualize results effectively. I also ensure that the scoring service will be accessible via REST or GraphQL endpoints, making it easy for your teams to utilize the insights in real time. Here is my portfolio: https://www.freelancer.in/u/ixorawebmob I’m interested in your project and would love to clarify the following before we start: What specific cloud preferences do you have for hosting the software? Looking forward to discussing further! Regards, Arpit Jaiswal

@vipinjain1213

Hi, this project is really about turning scattered data into decisions your teams can act on in real time. I can build a unified data layer that continuously pulls from your CRM, website analytics, and sales systems, then trains and compares multiple propensity models to identify what truly performs best. The outputs will be easy to consume—via a simple dashboard for business users and real-time APIs for your products and sales workflows. The focus will be reliability, explainability (so teams trust the scores), and clean handover with documentation and deployment support. We can start immediately — I will ensure clear, daily communication and fast turnaround. You’ll always know the exact progress.

@pinkeegupta

Hi, I have reviewed your project requirements and I’m confident I can deliver accurate, data-driven, and scalable solutions for your needs. I bring 9+ years of combined experience in Python development, Data Science, Data Analytics, and Business Intelligence, helping clients turn raw data into meaningful insights and actionable dashboards. My Core Expertise Includes: Node js , React Js, Mongo , Blockchain, crypto currency Python Development: Pandas, NumPy, Scikit-learn, FastAPI, Flask, Django Data Science & Machine Learning: Data cleaning, EDA, predictive modeling, AI/ML solutions Data Analytics: Statistical analysis, reporting, automation, data mining Power BI: Interactive dashboards, DAX, Power Query, data modeling, KPI reporting Databases & Big Data: SQL, NoSQL, SparkML AI & Frameworks: TensorFlow, PyTorch I focus on clean code, clear insights, performance optimization, and business-oriented outcomes. I ensure timely delivery and transparent communication throughout the project lifecycle. Let’s connect to discuss your requirements in detail and define the best approach for your project. Looking forward to working with you. Regards, Anju

@kishanbwts

I understand you need a unified dataset from CRM, website analytics, and sales data, feeding into a modular modeling pipeline with automated ETL, experiment tracking, and an easy-to-use dashboard plus API. From a similar project in e-commerce, I built seamless ETL jobs that cleaned and merged data from multiple systems daily, which improved model accuracy and freshness. For your setup, I suggest starting with schema access and sample data from all three sources, plus your preferred cloud or on-prem environment. Are there existing APIs for data extraction, or will we need to build connectors? Also, do you prefer REST or GraphQL for the scoring service? I can deliver automated pipelines to monitor data quality, a flexible training framework that reports key metrics, and a lightweight web interface tailored for team use. I’ll provide deployment scripts and documentation and run a live handover session to ensure smooth operation. I’m ready to start once you share the initial details and can provide a timeline for the first deliverable within 3 weeks. Let’s get this moving.

@sakshitiwari2323

Hello, I can deliver an end-to-end propensity-modelling solution that plugs directly into your CRM, website analytics, and sales database, unifying all inputs into a clean, continuously refreshed data layer. I’ll set up automated ETL pipelines with data-quality checks, then design a modular ML training framework that tests and compares multiple model types (regression, tree-based, neural nets, etc.), tracks experiments, and reports lift, ROC, and feature importance so the best-performing approach is always deployed. On top of this, I’ll expose a real-time scoring service via REST (or GraphQL) APIs and a simple web dashboard that non-technical teams can use to understand and act on predictions. You’ll receive deployment scripts, environment setup notes, and a live handover walkthrough. I can start immediately—once you share sample data, schema details, and cloud preferences, I’ll confirm a clear timeline and kick off without delay. Thanks Sakshi:)

@SJMDEVELOPER

Hi, I build end-to-end predictive modeling systems that turn scattered data into actionable insights. I can connect your CRM, website analytics, and sales database into a unified, continuously updated dataset, then train, evaluate, and deploy the best-performing predictive models—whether regression, decision trees, or neural networks. The system will include automated ETL with quality checks, modular model pipelines with experiment tracking and feature-importance visuals, and a scoring service exposed via REST/GraphQL. On top of that, a lightweight web dashboard will make results instantly actionable for your teams. Full deployment scripts, environment setup, and live hand-over are included. I can start immediately once I have sample data, schema info, and cloud preferences, and I’ll provide a clear timeline with milestones for data integration, model training, and deployment. Let’s get this running fast. Best, Manoj

@abdf2010

Hello there, I reviewed your project Custom Propensity Modeling Software and understood the requirements at a high level. I focus on delivering clear, stable, and maintainable solutions aligned with the actual scope, I can work with PHP, Machine Learning (ML), Google Analytics and follow a clean development process with proper structure and error handling. If this aligns with what you’re looking for, please come to chat to discuss further. Best regards

@amaank66

Hello, This is a perfect fit for our capabilities at CUBEMOONS PVT LTD. We specialize in building production-grade data platforms that unify data engineering, machine learning, and real-time deployment into one cohesive system. We will deliver: • Automated ETL pipelines integrating CRM, website analytics, and sales data • Data validation and quality checks • Modular ML training framework with model comparison (regression, tree-based, neural, ensemble) • Experiment tracking with ROC/lift reporting and feature-importance visuals • Best-model selection and continuous retraining • Real-time scoring service via REST/GraphQL APIs • Lightweight web dashboard for non-technical users • Deployment scripts, environment configs, and full documentation • Live handover session for your team Our approach is model-agnostic and performance-driven—the system selects the best-performing models based on real metrics, not assumptions. Everything is designed for scalability, reliability, and long-term maintainability. We can start immediately. High-level timeline: Week 1 – Data integration & ETL Week 2 – ML pipeline & evaluation Week 3 – Scoring API & dashboard Week 4 – Deployment, testing & handover We’ll need sample data, schemas, and cloud preferences to begin. Best regards, Amaan Khan P. CUBEMOONS PVT LTD.

@ElangoThinksha

Hello — propensity modelling pipeline that ingests CRM, website analytics, and sales data, trains and deploys the best-performing model, and surfaces scores via REST API and a dashboard non-technical users can actually use. Clear scope, high-impact deliverable. 25+ years in software development with hands-on experience building ML pipelines, ETL workflows, and predictive systems. I work with Python, scikit-learn, TensorFlow, Pandas, and cloud-native architecture daily — including experiment tracking, feature engineering, and model deployment. My approach: Phase 1 (Weeks 1–2): Automated ETL from your three sources with data-quality checks. Clean, unified dataset with continuous refresh. Phase 2 (Weeks 3–4): Modular training pipeline — regression, decision-tree, neural-net, ensemble methods. Experiment tracking, lift/ROC reporting, feature-importance visuals. Best model selected automatically. Phase 3 (Weeks 5–6): REST API scoring service for real-time calls. Lightweight dashboard for non-technical users. Deployment scripts, environment setup, and live handover session. What I need to start: Sample data or schema docs from CRM, analytics, and sales DB. Cloud preference (AWS/GCP/Azure). I can begin immediately. Regards, Elango

@novatech2210

Hello! I've been recommended by a Freelancer Recruiter. Nice to meet you. I've just completed a similar propensity-modelling project for a client who needed to unify their CRM data with analytics and sales insights. As a seasoned developer with expertise in data unification, machine learning, and API development, I believe I'm the perfect fit to build a custom propensity modeling software package that integrates seamlessly with your CRM, website analytics, and sales database. This project involves leveraging automated ETL jobs, data quality checks, and modular training pipelines to surface the best-performing predictive models through REST endpoints and an intuitive dashboard. I've successfully deployed similar solutions using REST/GraphQL APIs, neural networks, and data visualization tools like Tableau. For example, I helped a previous client reduce manual data analysis by 60% and increase model accuracy by 25%. Multiple 5-star reviews on data unification and machine learning projects demonstrate my expertise. Happy to hop on a quick call (no obligation) to discuss architecture, timeline, and a clear plan + quote.

@ANDOVE

I can deliver a complete, production-ready propensity modeling system that goes beyond a single predictive model and focuses on repeatability, transparency, and business usability. My approach starts with building a clean and automated data layer that continuously unifies CRM data, website analytics, and sales records, with validation and quality checks baked into the ETL process. On top of this foundation, I implement a modular machine-learning pipeline that supports multiple model families, tracks experiments, and reports performance through clear metrics such as ROC curves, lift charts, and feature-importance visuals. The selected model is then deployed as a lightweight, low-latency scoring service exposed via REST APIs, alongside a simple web dashboard designed for non-technical users to explore predictions and model behavior. The system is designed to be extensible, so new data sources or models can be added without rework. I provide deployment scripts, environment documentation, and a live hand-over session to ensure your team can operate and evolve the system confidently. To begin immediately, I would need sample datasets or schemas, access details for the data sources, and any cloud or infrastructure preferences you may have.

@apkblack17

Hello, I’m Aditya Prasetya, a seasoned Fullstack Developer, and I possess the exact set of skills required to build your custom propensity modeling software. With over two years of experience in developing web and mobile applications, I’ve handled complex projects integrating various data sources, including ERPs for industries like mining and textiles. This has sharpened my data management capabilities and strengthened my understanding of databases like MySQL, PostgreSQL, and MongoDB. My experience balances backend programming with PHP and Python for efficient ETL processes, alongside frontend development using frameworks like CodeIgniter, Laravel, and Vue.js. This ensures a lightweight, intuitive web interface and dashboard, ideal for non-technical users. I focus on modularity and accountability in my work, delivering automated ETL jobs with erratic-data checks, deployment scripts, and clear setup documentation. I understand the importance of timeliness for this project and can start immediately once we finalize the scope of work. Early prioritization has been key in my past projects, such as building ERP systems for mining or creating real-time performance marketing dashboards for sales industries. To ensure smooth integration, I would appreciate receiving schema documentation for your CRM, website analytics, and sales databases, allowing me to design a clean and compatible data layer. Let’s work together to create an efficient and scalable solution for your needs!