MS Business Analytics · Dallas, TX · Open to opportunities across the U.S.
“When I'm not digging through data, I'm either at the table tennis table or on a flight somewhere new. Both have taught me the same thing — read the situation fast, adapt, and keep moving.”
My background stretches across data analysis, HR operations, app development, and financial services. Most recently at Empower, I worked on the data behind U.S. retirement accounts — the kind of work where a small inconsistency can echo across thousands of customers, so precision is the job.
I hold an MS in Business Analytics from UNT and a BBA from St. Claret, Bangalore. My day-to-day toolkit is SQL, Python, Tableau, Power BI, and Excel, and I lean on AI tools like Claude and ChatGPT to extend how far and how fast I can reason through a problem.
Analytics capstone on 93,000+ TxDOT crash records. Built a KPI reporting framework, deployed a Gradient Boosting Classifier (1.00 F1-score), and presented data-driven road safety recommendations to stakeholders.
Built and optimized Random Forest and Neural Network models on a 5,000-record dataset, achieving 80% accuracy. Delivered business-facing performance reports with actionable recommendations.
Led team analysis of negative customer feedback to identify product gaps in Starbucks canned drinks. Developed and presented a structured business recovery strategy to stakeholders.
Analyzed retail data across 7 operational dimensions. Prepared a formal multi-page report with visualizations and data-driven recommendations — a complete stakeholder-ready analytical deliverable.
I'm open to full-time roles and internships across the U.S. The best way to reach me is email.
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