Delivery Hero SE (DHSE, Berlin, Germany)

Data Science Manager

2023-2025

· Led Product Discovery and Personalisation team, focused on ranking and recommendation of products across both Restaurant and Q-commerce verticals of DH, increasing cross-sell conversion (~9%), average order value (~1.5%), and gross profit margins.

· Led the Incentive Science & Fraud team, focused on reducing incentive wastage by detecting fraud and optimising incentives across customers & restaurants, decreasing cost per user by 10%.

GoTo Financials (GoTo Group)

Senior Data Science Manager

2022

·  Managed GoPay Data Science team for the user spend vertical, focused on improving user experience on GoJek and GoPay Apps.

·  Implemented causal learning models to identify the most profitable customers/customer segments to run marketing campaigns, yielding optimal ROI.

MakeMyTrip India Pvt Ltd (MMYT)

Senior Principal Data Scientist

2016-2021

·  Personalized Hotel Ranking & Discovery: Led the development of a common ranking framework and re-ranking models, increasing booking conversion by 30% and improving hotel recommendations with 14% higher conversion.

·  Multi-Armed Bandits for Optimization: Implemented MAB techniques to optimize various business problems, improved decision-making through a data-driven, adaptive approach.

·  Search Engine Marketing (SEM) Optimization: Built AI-driven bid optimization models using Genetic Algorithms, ACO, and ABC, improving search advertising efficiency.

·  Cross-Platform Hotel Data Integration: Unified clickstream & booking data across platforms, creating a dashboard for revenue, margin, and funnel analysis.

·  Search Query Modeling (SQR): Mapped user search queries to relevant ad groups using Named Entity Recognition (NER), improved advertising relevance and targeting.

Fair Isaac India Software Pvt Ltd (FICO)

Lead Data Scientist

2009-2015

· Research, development, and delivery of predictive models for the retail and banking industry. Led the effort to develop analytic solutions into FICO Analytic Cloud.

· Customer-level analysis for capturing attrition, lifetime value, and segmentation. These models were a part of the Analytic Offer Manager for the purpose of propensity
prediction at the customer product level and demand forecasting.

· Enhanced Offer Prediction & Customer Profiling: Improved Analytic Offer Manager by integrating online browsing, GPS data, and multi-item offers, leading to better personalization and higher relevance in customer promotions.

·  Recommender System & Market Basket Analysis: Developed collaborative filtering and LDA-based solutions for personalized recommendations; enhanced market basket analysis with modified Apriori algorithms, improving prediction precision & recall.

·  Scalable Profile Generation: Built a portable Java-based profile generation supporting batch, incremental, and real-time modes.

·  Demand Forecasting: Applied multiplicative time series models for retail demand forecasting, and evaluated the performance against ARIMA.