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$50 USD / 小时
COLOMBIA的国旗
medellin, colombia
$50 USD / 小时
目前这里是6:48 下午
二月 21, 2015已加入
0 推荐

Daren Joan R.

@darenrodriguez

5.0 (1条评论)
1.5
1.5
100%
100%
$50 USD / 小时
COLOMBIA的国旗
medellin, colombia
$50 USD / 小时
100%
工作已完成
100%
在预算内
100%
按时
100%
重复雇用率

Master in Data Analytics Intelligence | Geology

I'm deeply curious about data science and artificial intelligence with a master`s degree in data analytics, professional certifications in data science and machine learning. Competencies: Analytics, Analysis capacity, Machine Learning, Data Science, Deep Learning, PySpark, Keras, Python, Jupyter Notebook, R, SQL, Streamlit, Qgis. Data table management, visualization and data analysis in Excel, Power BI and Tableau. In multidisciplinary teams, I possess the ability to work and contribute to the elaboration of reports, databases, fieldwork, and socializing projects, Applying emotional intelligence, guide and planned goal setting. If you catch me outside of work, I'm a reading loving, learning about the bottom of things. I enjoy playing football and walking through nature, practicing meditation, and talking about most things. I am sincere, irreverent, curious, creative, and able to create meaning. [login to view URL]

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评论

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筛选评论规则:
5.0
$30.00 USD
excellent guy to work with
Research
Scientific Research
Virtual Assistant
Mining Engineering
+1更多
B
的国旗 Jaimila B.
@buycarbodykits
9 年前

经验

Senior Geologis

ARIS MINING
7月 2021 - 现在
Coordinated support of 2 warehouse and core yard of drilling cores at exploration and mining geology. Completed logging for over 20,000 meters of core samples within strict deadlines, contributing to the timely execution of resource assessment and development plans. Spearheaded the implementation of an automated sampling invoice check system, resulting in a substantial 70% reduction in manual verification tasks, saving the team 20 hours per week and improving operational efficiency.

Exploration Geologist

MINESA-Proyecto Soto Norte
12月 2015 - 4月 2021 (5 年, 4 个月)
Geological mapping and surface and underground geomechanical classifications with special emphasis on deposits of gold, copper, and silver. Conducted comprehensive analysis of 10,000 meters of core logging, identifying geological keys and facilitating accurate modeling. Designed 3 procedures of surface geological mapping, geological and geotechnical tunnel mapping and underground mining sampling. Prepared 5 geotechnical studies and reports for the preparation of the environmental impact study.

Geologist

CDMB
5月 2015 - 10月 2015 (5 个月, 1 天)
10 Technical recommendations for the improvement and optimization of the exploration and exploitation gold mineralization. Created of geological, geomorphological and slope maps of the municipalities of California, Surata and Vetas. For a final deliverable of 9 maps. Orchestrated the design and implementation of three data collection formats, resulting in a 35% increase in data accuracy and a 20% decrease in data collection time, enabling faster decision-making.

教育

Master of Data Analytics Intelligence

Universidad de Los Andes, Colombia 2021 - 2023
(2 年)

GEOLOGIST

Universidad Industrial de Santander, Colombia 2003 - 2011
(8 年)

资质

Data Science Professional Certificate.

Coursera-IBM
2021
Learners started with an orientation of Data Science and its Methodology, became familiar and used a variety of data science tools, learned Python and SQL, performed Data Visualization and Analysis, and created Machine Learning models. In the process they completed several labs and assignments on the cloud including a Capstone Project at the end to apply and demonstrate their knowledge and skills.

Machine Learning Professional Certificate

Coursera-IBM
2023
This Professional Certificate from IBM provides evidence that the above named individual developed skills in Machine Learning: Unsupervised Learning, Supervised Learning, Deep Learning, and Reinforcement Learning; including Time Series Analysis and Survival Analysis. This program consisted of 6 courses providing a solid theoretical understanding and considerable practice of the main algorithms, uses, and best practices related to Machine Learning.

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