about.me
I specialize in the powerful blend of Finance and Data Science. I recently graduated with a Master of Science in Business Analytics & AI and am currently a dedicated CFA Level II Candidate, which should tell you where my real interests lie, the financial markets.
I love diving into companies, figuring out their core business, understanding their value proposition, and researching how they sustain growth. I follow the markets closely, which naturally feeds into my trading interests.
The powerful part is bringing my technical background to this passion. I use skills in Python, SQL, Power BI, and advanced modeling to go beyond the headlines. These tools let me thoroughly analyze a company's financial health, build accurate forecasts, and transform raw data into clear, strategic insights. The kind of information you need to make smart, informed decisions.
Education
Master of Science in Business Analytics & AI
University of Texas at Dallas
- Studied core statistical and quantitative techniques that validate business hypotheses and strategies
- Built end-to-end solutions using Machine Learning (ML) to drive data-backed strategic decisions
- Mastered quantitative methods for forecasting, risk modeling, and complex pattern recognition
Bachelor of Technology in Information Technology
Indian Institute of Information Technology
- Developed rigorous, systematic thinking essential for breaking down complex problems into manageable technical steps
- Managed team-based projects, learning how to scope and deliver solutions under Software Project Management principles
- Established a strong foundation in Programming and Data Structures & Algorithms
Work Experience
Data Analyst
University of Texas at Dallas
- Optimized data collection & processing for orientation using SQL and Excel, to ensure data quality and privacy
- Developed executive reports and interactive dashboards using Power BI to track metrics for more than 5,000 students
- Analyzed 300 open-ended survey responses from 150 people using thematic analysis to make strategic decisions
Data Science Associate, Strategy & Insights Team
ZS Associates
- Developed predictive models using Python and R to optimize clinical trial recruitment, reducing patient identification time by 30% and improving trial enrollment rates by 25%
- Utilized advanced SQL queries and data modeling techniques to integrate and analyze complex healthcare datasets, improving data accessibility for strategic decision-making by 35%
- Created robust Power BI data models that use advanced DAX functions to visualize patient engagement journeys, enabling personalized marketing strategies that improved adherence to treatment by 20%