Apr 2024 – Sep 2024 · 5 mos · Gurugram, Haryana, India

• Led a 5-member Data Science team for Cars24’s international business across UAE, Australia, and Thailand, driving personalization, pricing optimization, and user conversion initiatives through machine learning and predictive modeling.
• Personalized Car Recommendations: Designed and deployed a collaborative filtering–based recommendation engine, improving user conversion rate by 13% through personalized car suggestions.
• Optimized Search Ranking: Engineered an XGBoost-based ranking model that enhanced the Bookings per User metric by 12%, increasing engagement and monetization efficiency.
• Dynamic Pricing Framework: Developed a demand-driven price elasticity model to optimize car pricing strategies, resulting in a 34% increase in Sell-Through Rate (STR).
• Car Sale Price Forecasting: Built and deployed a CatBoost-based forecasting model to predict car procurement prices, ensuring pricing alignment with profit margin objectives and improving financial forecasting accuracy.

May 2022 – Mar 2024 · 1 yr 10 mos · Gurugram, Haryana, India

Jul 2020 – Apr 2022 · 1 yr 9 mos · Noida, Uttar Pradesh, India · On-site

• Developed and deployed a time-series forecasting model using SARIMAX to predict U.S. Census Retail Sales 15 days in advance, achieving a Mean Absolute Percentage Error (MAPE) below 2%, significantly improving forecasting accuracy for business planning.
• Engineered SRMBot, a sentence-transformer-based NLP chatbot designed to automate responses for 400+ types of supplier queries, resulting in substantial reduction in manual workload for supplier relationship managers and enhanced operational efficiency.

Sep 2019 – Jun 2020 · 9 mos · Gurgaon, India · On-site

• Developed an Applicant Relevance Scoring Model leveraging Word2Vec and GloVe embeddings to optimize candidate shortlisting for recruiters, improving recommendation precision and recruiter efficiency.
• Designed and implemented a Candidate-to-Job Matching Algorithm for the Job Alert Mailers project, resulting in a ~60% increase in email click-through rate through enhanced personalization and ranking logic.

Jul 2019 – Sep 2019 · 2 mos · Gurgaon, India

• Contributed to the development of credit risk and loan eligibility models, leveraging machine learning algorithms and feature engineering to support data-driven lending decisions.
• Collaborated with cross-functional teams to enhance model deployment pipelines, improving operational scalability and reducing latency in decision-making processes.

May 2017 – Jul 2019 · 2 yrs 2 mos · Gurgaon, India

• Achieved Data Science Level 1 Certification from Optum’s Data Science University, demonstrating strong competency in machine learning and statistical modeling.
• Developed a stacking-based classification model integrating Random Forest and AdaBoost algorithms to identify columns in the data lake suitable for data quality metric application, improving the accuracy and efficiency of data validation processes.
• Automated monthly data quality monitoring operations by developing a trend analytics framework using statistical control limits and moving averages, reducing manual intervention and enhancing anomaly detection accuracy.
• Optimized the operations task of UDW team by correctly classifying the abends in the system using ML techniques like Vectorization (text analytics), Clustering & Logistic Regression.

Jul 2014 – May 2017 · 2 yrs 10 mos · Gurgaon, India

• Worked on performance enhancement module whereby improved the performance of several features by up to 45% using Caching framework
• Developed CHEM Web API which separated out the Edits & Maps (Rules) from the core Claims Administrator Application and improved the efficiency of execution with parallel processing implementation.
• Designed the Automation Framework architecture for CA using Selenium framework to automate the manual test cases.
• Worked on improving the code quality of CA code base by fixing the SONAR & Fortify scan issues.
• Rewrote the entire legacy code (ASP.NET) into ASP.NET MVC from scratch
• Developed an android app for Physician query response tool which is in production environment now. It was a first of its kind for eCAC application.
• Developed a utility tool (in Silverlight) named ‘Juxtaposer’ which could compare the settings configured in different development environments.

May 2013 – Jul 2013 · 2 mos · New Delhi Area, India

• Worked on designing heat exchangers, pumps and separator vessels using software like HTRI, MATLAB etc