May 2022 – Mar 2023 · 10 mos · Gurugram, Haryana, India

• Projects: Marketing Mixed Modeling (MMM)
• Lending, Credit Risk Modeling, MLOps
• Sagemaker, Jupyterhub, Airflow

Jan 2020 – May 2022 · 2 yrs 4 mos · Noida Area, India

• Department: Product Management
• Sub-Department: Product Delivery
• Current Project: Building Pine Lab's ML Platform
• Other Projects: Consumer BNPL for FAVE India, Merchant Lending Products, Transaction Time Series Analysis, Customer Profiling
• Leveraging the AWS platform to analyze crores of transaction and merchant data points to find trend, patterns and opportunities in order to provide innovative solutions to various business stakeholders at Pine Labs

Apr 2019 – Jun 2019 · 2 mos

• SquareTrade (April 18-July)
• Worked as an Informatica Developer to facilitate the successful creation of warranties by extracting and persisting warranty/customer data sent to our platform by partner merchants (Amazon, Costco, Target, Wayfair, etc).
• Daily tasks include development for merchant integration projects and ensuring fault-free continuous running of our existing jobs.
• We use tools like Informatica Cloud for ETL (extraction, transformation, load ), PostgreSQL as DB, Splunk as a monitoring tool, Python and Shell as scripting languages to meet the daily requirements.

Aug 2017 – Apr 2019 · 1 yr 8 mos

• Arity (August 17 - April 18)
• Connected Car Engineering Team (CCET)
• Worked on and developed the Arity Data Platform 2.0 consisting of big data tools like Nifi, Hadoop, Flume, Casandra.
• Huge Volumes of Gps data points captured and sent to this platform every day for processing and persisting into our NoSQL Databases and HDFS for further future needs.

Jun 2015 – Jul 2015 · 1 mo · Gurgaon, India

• Project Title: Analysis and prediction of default rate on calls made to customers by Collections department
• 1. Analyzed data (customer/portfolio/retailer) to identify early warning signals by combining CIBIL score and Big Data and provided feedback in order to take corrective measures
• 2. Developed Regression model to predict the occurrence of a fatal error in a call made to a customer by analyzing audited call data which increased the detection rate by 74%
• 3. Conducted regular quality checks on Tele-Collections and reported the result to the management

May 2015 – Jun 2015 · 1 mo · Kharagpur

• 1. Worked on an online e-commerce platform for buying printed designer T-shirts and other apparels. (Artywear.com)
• 2. Assisted in raising a seed fund of Rs 5 lakh from Science and Technology Entrepreneurs Park, IIT Kharagpur
• 3. Updated live site and assisted in headline change to verify images are both high quality and on-brand
• 4. Created promotional emails, posters and banners to create social media presence