Marketing & Data Analysis

Collect, Organize, Analyze & Report on Data For Decision Making

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Software Expertise

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Python

Advanced analytics & modeling

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Microsoft Excel

Financial modeling & reporting

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Tableau

Data Visualization

Tableau: Data Visualization

Raw data can be difficult to interpret without a technical background. I transform complex datasets into clear, data-backed visualizations that deliver actionable insights into your business, customers, products, services, and market landscape.

By combining secondary data from trusted sources (such as census data, public surveys, and industry research) with primary data collected by your organization, I build dynamic dashboards that drive confident, strategic decision-making.

Python: Data Analysis & Modeling

Advanced analytics requires robust engineering, rigorous statistical validation, and scalable machine learning architectures. This section showcases end-to-end Python pipelines built to solve complex predictive and econometric challenges.

Real Estate Valuation & Predictive Modeling

An econometric and machine learning pipeline leveraging Ordinary Least Squares (OLS) regressions, VIF multicollinearity diagnostics, and regression ensembles (Random Forest & CatBoost) across over 19,000 properties.

Actual vs predicted house price scatter plot built in Python using Seaborn for machine learning real estate valuation.

Code Snippet Sample:

Python code snippet calculating Variance Inflation Factors (VIF) for multicollinearity diagnostics in a real estate valuation pipeline.
View Full Code on GitHub

Customer Monthly Spend Prediction

An industry-grade machine learning pipeline utilizing custom financial feature engineering, log-transformed target scaling, and 5-Fold Cross-Validation with gradient boosting (CatBoost) to forecast credit card spending behavior.

Top 10 feature importance bar chart from a CatBoost regressor credit card customer spend prediction pipeline in Python.

Code Snippet Sample:

Python code snippet showcasing a 5-fold cross-validation training loop using CatBoost Regressor for customer spend prediction.
View Full Code on GitHub