Data Analyst with 1+ year of experience translating complex datasets into strategic decisions. Specialised in scalable MIS systems, KPI reporting, and customer analytics — with a measurable record of reducing costs, improving accuracy, and driving revenue.
Results-driven Data Analyst with 1+ year of hands-on experience in the financial services industry, specialising in SQL-based data engineering, Python automation, MIS reporting, and customer analytics. Currently contributing to the Product & Business Intelligence function at Axis Securities Limited, Mumbai.
I combine strong technical skills with business acumen — translating complex datasets into actionable insights that inform product decisions, optimise marketing spend, and improve operational efficiency. Experienced in collaborating cross-functionally with product managers, marketing leads, and senior stakeholders to deliver analytics that create measurable impact.
What sets me apart: a forward-leaning approach to AI-augmented analytics — leveraging tools like Claude AI, Gemini, and ChatGPT to accelerate SQL development, automate repetitive workflows, and prototype solutions faster than traditional methods.
Axis Securities is one of India's leading full-service stockbroking firms. Embedded in the Product team, I own the end-to-end analytics lifecycle — from pipeline engineering and data quality to stakeholder dashboards that directly drive product strategy and revenue decisions.
Developed a Recency-Frequency-Monetary (RFM) segmentation model on live trading and revenue data. Engineered percentile-based scoring to classify users across high-value, loyal, at-risk, and dormant segments. Delivered actionable segment profiles to the marketing team, enabling precision-targeted retention campaigns that improved conversion rates by ~10% over broad-cast strategies.
Designed and implemented a behavioural tracking algorithm to monitor user migration patterns between trading platforms, using rolling 3-month activity windows, trade volume trends, and recency scoring. Classified users into migrated, partial adopter, and dormant cohorts — enabling the product team to deploy targeted re-engagement interventions that improved platform adoption by ~15% and reduced churn-related drop-offs.
I'm actively looking for my next role — a team that values rigorous analysis, clean data infrastructure, and analysts who think like product stakeholders. I bring proven impact, a strong technical foundation, and the initiative to build things that last. If that fits what you're looking for, let's connect.