Machine Learning Data Visualization

Saint Roger Bountsebe Eboueme, M.S., B.A.

About: As a recent graduate holding a Master of Science in Applied Economics from the University of San Francisco, my specialized skills encompass Data Mining, Data Aggregation, Data Visualization. With rigorous training spanning two years to synthesize how data can be used for decision making. EDUCATION

The University of San Francisco Sept 2021 - May 2023 M.S, Applied Economics San Francisco

Coursework: Econometrics, Statistics, Macroeconomics, Institutions Markets Platforms, Experiment and Causal Inference, Data Visualization, Data Management with SQL, Hypothesis Testing, Data mining/Cleaning. Hiram College Aug 2016 – May 2020

B.A, Computer Science Hiram, Ohio

Coursework: Python, Javascript, Java, Data Structure, Algorithms and Design, SQL, Python for Data Science. Technical Skills: Python, SQL, R, MS Excel, Machine Learning, Google Earth Engine, Scikit-Learn, Pandas, ArcGIS Pro, Stats Models, Forecasting, Remote sensing.

Certifications: Foundations in Data Science, Critical Thinking and Problem Solving, Cross Cultural Communication. WORK EXPERIENCE

Math Instructor/Machine Learning Instructor - Sacred Heart Cathedral Preparatory, San Francisco Jan 2023 - Current

● Used data visualization to identify students in need, this led to an increase in class average grade by 10%.

● Mentored and coached 50 students from three different class grades

● Planned and taught basics of machine learning to a group of 10 students; Train, evaluate and optimize models. Information Technology (IT) Analyst - Sacred Heart Cathedral Preparatory, San Francisco Sept 2022 - Current

● Supported staff and students by troubleshooting technical issues, ensuring seamless daily operations and access to data.

● Scraped data from third-party websites using Python and transformed it into actionable insights through SQL processes, enhancing decision-making capabilities.

● Trained colleagues with varying technical abilities on using data systems effectively, fostering greater proficiency and collaboration across the organization.

Satellite Data Research Analyst - The University of San Francisco Jan 2022 – Oct 2022

● Prepared and analyzed World Bank household survey data, documenting processes to support collaboration and transparency.

● Integrated remote sensing data with survey data via parish identifiers, creating a robust panel dataset for in-depth analysis.

● Applied and compared machine learning models to predict farmer yields, identifying Random Forest as the most effective solution based on performance evaluation.

Soft Skills: Analytics Skills, Problem Solving, Critical Thinking, Strategic Thinking,, Documenting and Reporting, Leadership Skills, Adaptability,Project Management, Prioritization and Decision Making, Teamwork, Cross-Team Communication. PROJECTS

Master Degree Capstone Project Jan 2023 - May 2023

● Used Fixed Effect to estimate the impact of market access on farmer’s revenue in Nigeria, showing fluency in R Python.

● Utilized diverse statistical methods and econometrics techniques for model development and evaluation.

● Created concise report and summary tables to effectively communicate findings to a non technical audience. TAGRID CO-Founder and Executive Director

● Tagrid is a Non Profit that works with farmers to improve their socio-economic status while promoting sustainability.

● Took initiatives to start this venture in order to address issues related to poverty and food security. 100 Grand Ave, Oakland, California, 94612 330-***-**** *.*******@*****.*** Github LinkedIn 1

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