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Emmanuel Murungi Mwebaze

@emmanuelmurungimweba

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Data scientist with expertise in risk analysis and quantitative modeling.

United States

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What I'm looking for

I am looking for a role that challenges me and fosters growth in data-driven decision-making.

I am a dedicated data scientist currently pursuing my Master of Science in Data Science at Columbia University, expected to graduate in May 2025. My academic background includes a Bachelor of Arts in Mathematics-Statistics, where I was honored as a Kluge Scholar and made the Dean's List for four semesters. My education has equipped me with a strong foundation in statistical analysis, machine learning, and financial modeling.

In my professional journey, I have gained valuable experience as a Full-Time Analyst at BlackRock, where I conducted risk oversight across significant portfolios and developed bespoke risk factor models. My internship experiences further honed my skills in quantitative analysis and portfolio management, including developing macroeconomic models and conducting fundamental research. I am passionate about leveraging data to drive strategic decision-making and optimize investment strategies.

Experience

Work history, roles, and key accomplishments

Summer Intern

GenAfrica Asset Management

Jul 2024 - Jul 2024 (0 months)

Developed a macroeconomic model using regression analysis to assess economic factors on Kenyan equity market returns. Conducted fundamental research to enhance financial model accuracy for investment decisions.

Macroeconomic Models Regression Modeling Valuation Investment Analysis Data Analysis Financial Modeling

Capstone Project Researcher

Data Science Institute, Columbia University

Oct 2023 - Nov 2023 (1 month)

Led a capstone project on time series analysis of U.S. Treasury yield using macroeconomic variables. Developed advanced forecasting models to enhance prediction accuracy.

Time Series Analysis Forecasting Gated Recurrent Units

Full-Time Analyst

BlackRock

Aug 2021 - Aug 2023 (2 years)

Conducted risk oversight across Systematic Active Equity and Systematic Fixed Income, managing $20bn AUM. Developed a bespoke risk factor model and collaborated on open-source internal APIs to automate portfolio risk reviews.

Risk Analysis Quantitative Analysis R Python Microsoft Power BI Data Visualization

Researcher Volunteer

Rights Co-Lab, Data Science Institute, Columbia University

Mar 2021 - Jul 2021 (4 months)

Built natural language pipelines to analyze financial reports for labor practices classification. Created dashboards visualizing labor issues across industries.

Natural Language Processing Data Analysis Dashboards Financial Reporting Team Collaboration Data Visualization

Summer Analyst

BlackRock

Aug 2020 - Sep 2020 (1 month)

Developed a clustering model for active US CLO deals to analyze risk and return characteristics. Presented findings to portfolio management teams for risk reviews.

Clustering Risk Analysis Portfolio Management Data Analysis Presentation Skills Commercialized Loan Obligations Financial Modeling

Education

Degrees, certifications, and relevant coursework

Columbia University

Master of Science, Data Science

2021 - 2025

Pursuing a Master of Science in Data Science with relevant coursework including AI Applications in Finance, Exploratory Data Analysis and Visualization, and Applied Machine Learning.

Columbia University

Bachelor of Arts, Mathematics-Statistics

2017 - 2021

Completed a Bachelor of Arts in Mathematics-Statistics with coursework in Discrete Time Models in Finance and Statistical Machine Learning. Achieved honors as a Kluge Scholar and made the Dean's List for four semesters.