Aveek Kumar

I’m a data-driven PGDM graduate specializing in Research & Business Analytics, focused on translating customer behavior into clearer decisions and better outcomes. In my sales analytics internship, I worked end-to-end on funnel visibility, lead qualification, and engagement improvements using SQL, Python, and Excel.

At Rezolv, I identified disengagement drivers across 104 leads to improve conversion tracking accuracy, and I redesigned 20+ advisor scripts using structured frameworks—driving an 18% lift in lead re-engagement. I also evaluated interactions to spot high-intent prospects, increasing site visits by 22%, and improving how teams prioritize leads.

My academic projects reflect the same practical mindset: consumer segmentation using K-Means clustering and factor analysis, inventory predictive & prescriptive analytics to reduce stock risks, and ML-based traffic congestion prediction using ensemble techniques and feature importance. I bring a problem-solving, stakeholder-collaborative approach shaped through leadership roles, plus Bloomberg ESG Certification and Bloomberg Market Concepts.