Rishabh Narang

Created data warehouse for storing, processing, and analysing large amounts of structured and unstructured data from weblogs, transactional systems and other sources. Launched pipeline on Power BI enhancing executive visibility into business; led to reduction in cost overrun and minimized user churn ratio. Collaborated with product managers to perform cohort analysis to understand customer behaviour with respect to product changes. Performed predictive modelling using machine learning algorithms; forecasted consumption trends; inflation rates and user at risk population. Worked closely with Finance to streamline organization’s P2P operations; optimized cashflow and increased customer delight (NPS rating).

Examined data from web traffic, mobile app usage, marketing campaigns, and other sources to provide insights on business performance and customer behaviour. Optimized ETL processes using Python, improved reporting speed; created dashboards to display sales performance against goals, marketing campaign effectiveness, and other key metrics. Contributed in development of recommendation engine by performing A/B test to improve conditional recommendation for add on products increasing the AOV.