Nirvana Haque

Data science student focused on building customer-first financial products and data-driven decisions. Experienced in Python, experimentation, regression modeling, and causal analysis to support product growth, pricing, and user behavior insights. Passionate about using data to make financial services simpler and more accessible.

Money Missions – Financial Literacy Web App

• Designed and deployed a Streamlit app that gamifies saving and budgeting to improve financial habits
• Built transaction tracking, goal systems, and real-time dashboards using Python and Pandas
• Focused on simplifying complex financial decisions for everyday users

Insurance Premium Pricing Model

• Built regression models to predict insurance costs from customer features using Statsmodels
• Identified key pricing drivers and translated insights into actionable business recommendations

Causal Impact Analysis – Job Training Program

• Estimated whether a training intervention increased participant earnings using matching and

covariate balance

• Compared treatment vs control groups to inform policy and business decisions

• Statistics
• Machine learning
• Business analytics
• Accounting
• Finance
• Operations
• Marketing