Dec 2023 – Jul 2025 · 1 yr 7 mos · Dubai, United Arab Emirates · Hybrid

• • Contributing to the development and integration of AI-driven Search & Discovery solutions across Careem’s verticals (Food, QUIK), enhancing user experience and search relevance.

Jul 2022 – Dec 2023 · 1 yr 5 mos · Bengaluru, Karnataka, India · Hybrid

• Managed game analytics and predictive intelligence initiatives for a popular title with 500,000+
• monthly active users.
• Successfully upgraded a live fraud detection module by implementing Anomaly Detection models and
• Weak supervised learning techniques. This led to a significant reduction in false positives in daily bans of
• unethical players.
• Pioneered the creation of a financial monitoring system, enabling anomaly detection for revenue
• fluctuations within sub-systems and in-app purchases.
• Designed and developed a data synthesis system tailored for In-game surveys, extracting valuable
• insights into player pain points and aspirations. These insights played a pivotal role in roadmap planning.
• Engineered a module dedicated to identifying and addressing in-game car cheating related to In-App Purchase (IAP) events.
• Conducted a comprehensive comparative analysis to evaluate the upside potential of Geo-Pricing in supported countries, providing valuable insights for decision-making
• Led multiple Revenue dip investigations, dissecting the factors responsible for declines in revenue among different crucial cohorts such as Elder Players and HVS.

Jul 2021 – Jul 2022 · 1 yr

• Managed analytics and data science team to support customer management for Fortune 50 pharma company
• Partnered with product team to build & deploy a production engine for identification of potentially new customers and highlighting areas of unmet needs. The system is currently deployed in EU-5 countries with future scope for other geographies
• Developed suite of machine learning models to support customer retention and enhance product uptake to extract maximum long term value of the product
• Communicated with PMs & respective stakeholders to lead team of 4-6 data scientists in project planning, development, execution, and delivery
• Coached data team throughout short and long-term projects, redefining documentation frequently

Jul 2019 – Jun 2021 · 1 yr 11 mos

• Developed a personalized content recommendation system for effective promotion campaigns to target customers using collaborative filtering-based solution, which reduced the bounce rate by 62% as evaluated using A/B testing
• Developed a generalized optimization solution for field force alignment using quadratic programming via IBM Watson suite. The solution was deployed in China decreasing manual effort by 75%
• Developed generalizable customer-representation system to algorithmically identify similar customers based on the historical transactional data using NLP-derived techniques (Word2Vec, ConvNets)
• Determined Key opinion leaders among the community of customers using network analysis techniques for targeted promotions

Jan 2019 – Jun 2019 · 5 mos

• Designed & deployed directed acyclic graph (DAG) based parallel sequencing system to automate periodic refresh of database and BI reports by incorporating composite engines for Teradata, shell scripts, and Tableau

Feb 2017 – Dec 2018 · 1 yr 10 mos

• Developed a hyperlocal insight generation engine for marketing field force. Currently used by ~3500 field sales representatives and managers to draw actionable insights
• Developed and operationalized a nationwide business intelligence system using Python, SQL, and Excel, to track the launch of new product in the market and important KPIs
• Developed a scalable data-mart solution by aggregating data from 7 disparate sources for complex on-the-fly commercial analytics and dashboarding

May 2015 – Jul 2015 · 2 mos · Greater Bengaluru Area

• Developed backend for Web Broadcasting Module, with Online Collaboration Tools using NodeJS
• Responsibilities included development, debugging and testing the Controller and Data-Model in the Application's MVC framework.
• Technologies Used : NodeJS, Socket.IO, ExpressJS, WebRTC, MemCached

Jan 2015 – Mar 2015 · 2 mos · Mumbai Metropolitan Region

• As a Backend Web Developer, I was responsible to create the backend structure of the website, which included Database Management and the PHP backend code.
• Developed the initial Bootstrap-based front-end for MVP solution.
• Technologies Used : PHP, H2O Template Engine, BootStrap, MySQL