At FlyRank AI, I built a data-driven system to prioritize which of 30,000 web pages the marketing team should refresh. I compared a rule-based baseline with Logistic Regression, Decision Tree, and Random Forest models, and the Random Forest reached 0.74 Precision@50.
I’ve also built analytics projects using SQL, Python, PostgreSQL, Excel, and Power BI. For Ola ride-hailing data, I created an interactive dashboard and found that Sedan cancellations were 16%, compared with 11% overall.
On a Walmart sales project, I traced a 12% year-over-year branch revenue decline to afternoon fresh-produce sales drops. I’m studying Engineering Physics at Delhi Technological University and have applied data-informed creative strategy at Let’s Talk DTU.
