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🔎 Open Fullscreen I developed this interactive dashboard to understand how interest rate changes and economic stress scenarios affect a bank’s Net Interest Income (NII), capital adequacy, and liquidity position.  What I Learned: How to pull and use live U.S. Treasury yield data via the FRED API How to simulate CCAR and ICAAP stress tests,

https://youtu.be/pgW5aOvSTqE?si=188X0HuPBNZSXZQg During my time at enFocus, I developed and deployed a comprehensive marketing analytics dashboard for a real company operating in the consumer products space. The goal was to help the organization better understand how their online marketing campaigns including Google Ads, Facebook Ads, Bing Ads, and affiliate channels were performing and how customers were

As part of my MSBA capstone at the University of Notre Dame, I worked with Better World Books to build a data analytics system that helps uncover trends, evaluate promotions, and support strategic decisions. What I Built Skills & Tools UsedPython | SQL | PostgreSQL | Prophet | Streamlit | Altair | Data Cleaning |

I developed an interactive R Shiny dashboard to explore community structure in a therapist–customer network: filter interactions spanning over two years of data, compare Walktrap, Louvain, Infomap and Fast-Greedy algorithms with modularity scores and a recommended best performer, and visualize the network in a force-directed layout where node size and color reflect degree and community.

I created an interactive dashboard that leverages a combined forecast model, a simple average of Linear Models (LM), Naive methods, Neural Networks (NN), Exponential Smoothing (ETS), and Auto ARIMA, to predict forex rates. The forecasts are generated using historical data and past trends, offering valuable insights while acknowledging that they do not guarantee future performance.

This interactive dashboard was developed as part of my work at the Zimbabwe National Chamber of Commerce. It provides an in-depth analysis of key macroeconomic indicators to support businesses in Zimbabwe with data-driven decision-making. The dashboard tracks metrics such as GDP growth, sector contributions to employment, provincial confidence levels, trade balances, exchange rates, and capacity

This project focused on building a revenue forecasting model for Seven Corners, a leading travel insurance and assistance company. The goal was to enhance financial planning and decision-making by providing accurate and actionable predictions. Approach The model was developed using time series analysis and Prophet, a tool well-suited for handling seasonal trends and irregular patterns.

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