I will perform statistical data analysis and build credit risk models

Turning raw data into decisions you can act on.

I'm a Computer Science, Statistics, and Information Systems undegrad specializing in interpretable, regulatory-grade data models. Most recently, I took 2nd place nationally in FNB's DataQuest credit risk modeling competition.

What I Offer

• Data Cleaning & Analysis: Accurate wrangling of complex datasets and surveys using Python, SQL, and R.
• Financial & Credit Risk Modeling: Building predictive models engineered with explainable techniques (SHAP, scorecards) that pass compliance scrutiny.
• Fairness & Bias Auditing: Checking model outputs to ensure fairness across demographic and risk profiles.
• Clear Visual Reporting: Interactive dashboards, crisp charts, and plain-language summaries that non-technical leaders can act on immediately.
• Reliable Execution: Fast turnaround, proactive progress updates, and transparent communication.

How We Work Together

1. Scope & Share: You send your raw data and business goals.
2. Explore & Analyze: I clean, explore, and model the dataflagging anomalies, risks, and insights along the way.
3. Deliver & Refine: You receive a complete package (insights summary, visuals, code, and next steps) with rev