Introduction

Hi! I’m Kwesi, a recent UIUC graduate in Econometrics & Quantitative Economics with minors in Computer Science and Statistics. I’m passionate about applying data-driven solutions to finance, operations, retail, sports analytics, and AI/ML applications. I enjoy exploring datasets, uncovering patterns, and building predictive models to turn insights into actionable strategies. Feel free to check out my projects or reach out to connect.

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Interests

• Predictive modeling and forecasting for finance and retail
• Optimization and analytics in operations and supply chain
• Sports performance and game outcome analytics
• Machine learning applications, AI pipelines, and data-driven decision-making

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Skills

• Programming & Data Tools: Python, R, SQL, C++, Excel, Tableau, Power BI
• Data Science & ML: Time Series Analysis, Forecasting Models, Econometrics, Lasso Regression, Statistical Modeling
• Visualization: Matplotlib, ggplot2, Plotly, Tableau, Power BI
• Cloud & Collaboration: Git, Docker, AWS, GCP
• Other: Data Wrangling, EDA, Model Evaluation (RMSE, Cross-validation), Experimental Design

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Projects

📊 Walmart Sales Forecasting

State-level sales prediction with ARMA and Lasso models, RMSE evaluation, and insights for inventory and workforce optimization.
Tech stack: R, RMarkdown, glmnet, plotly, HTML

🤖 Machine Learning Trading Bot

An automated options trading bot with backtesting and risk management.
Tech stack: Python, QuantConnect API, Scikit-learn

📈 Sales Dashboard

Interactive business intelligence dashboard for tracking KPIs.
Tech stack: Tableau, SQL, Excel

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📫 Contact

• Email: pkwesi4@gmail.com

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