Mumbai, Maharashtra, India
Results-driven analytics professional with 3 years of experience turning complex datasets into actionable insights that drive business growth. Skilled in SQL, PySpark, Python, Excel, Power BI, and leveraging GenAI for smarter data solutions. At IDFC First Bank, I worked on high-impact projects spanning portfolio & PnL analytics, lifetime value modeling, predictive modeling, campaign performance, and product tracking. I collaborated with cross-functional teams to build dashboards, deploy predictive models, and design data-driven strategies that improved customer acquisition, retention, and engagement. My expertise lies in business intelligence, predictive modeling, and stakeholder management—along with emerging GenAI use cases—equipping me to deliver scalable, data-backed solutions that streamline decision-making and optimize business outcomes.
As a Data Analyst in Creditcards analytics department of IDFC FIRST Bank, I focused on creating customer-centric solutions such as profitability framework to identify high-value customers and drive retention, engagement and portfolio profitability. Worked on end-to-end development of machine learning models on Python using algorithms like XGB, RF, GBM etc. for solving both regression and classification problems. Built Lifetime Valuation Model and Dashboards for various credit card products and conducted cost-benefit analysis to enhance campaign targeting and optimize product offerings. Spearheaded the migration of analytical workflows from SAS to PySpark on AWS, significantly improving processing efficiency and enabling faster insights. My role involved cross-functional collaboration, campaign experimentation, and leveraging customer segmentation to design data-driven marketing initiatives.