Aug 2023 – Nov 2023 · 3 mos

Aug 2020 – Aug 2023 · 3 yrs

May 2019 – Jul 2020 · 1 yr 2 mos · Gurgaon, India

• 1. Managed an 8 member team taking care of the entire Payments tech.
• 2. Worked on improving the UPI share on Payments and took it from single digits to more than 30% of all the transactions.
• 3. Improving payments auto refund percentage from 85% to more than 99% and thus reducing customer care calls around refunds.
• 4. Reliability: Automated the handling of most external downtimes related to banks, UPI ecosystem and other partners.
• 5. Migrated payments from a legacy system to a new micro services based architecture. Involved migrating all existing teams in the org using the legacy system to the new system.
• 6. Worked on Affordability Charter and providing more and easy choices to customers in terms of credit and EMI. Saw a 10x growth in affordable instrument transactions in 2 quarters.

Feb 2018 – Apr 2019 · 1 yr 2 mos · Gurgaon, India

May 2017 – Jan 2018 · 8 mos · Gurgaon, India

• Worked with the Data Science team in building assessment algorithms to check the loan eligibility of a user.

Sep 2015 – May 2017 · 1 yr 8 mos · Gurgaon, India

• CustTap is a data analysis and marketing platform to help offline segments become data driven. Our aim at CustTap is to help offline segments in India become data driven by leveraging technology in the right manner.

Apr 2015 – Sep 2015 · 5 mos

• 1. Lead Data Platform at Goibibo.
• 2. Was responsible for providing data related solutions for various business and tech use cases.
• 3. Created a system to send automated Hotel Recommendations, Inventory alerts & Flight Fare Alerts to users on their android devices in real time. This generated more than 300 room nights and around 100 flight tickets per day with a conversion rate of around 4% for hotels and around 2% for flights.

Jun 2013 – Mar 2015 · 1 yr 9 mos

• 1. Setup a platform to aggregate data from various sources and making it available to various teams in Goibibo.
• 2. Created a platform to centralize the data (CRM, Transactional and Social) of a user across different verticals (bus, flights, hotels) to empower marketing campaigns.
• 3. Setup a platform to aggregate and index logs (apache, nginx, celery, application) in a centralized hadoop cluster in near real time. (approx 120 million logs per day)
• 4. Improved the search to booking page conversion by more than 20% on Goibibo flight search by removing junk flights from search results.
• Technologies Used:
• Data Ingestion: Flume, Sqoop, Custom ETL Scripts (Python and Shell)
• Data Processing: Hive, Pig, Impala, Cloudera Search (Solr Cloud)
• NoSQL Databases: Hbase, MongoDB
• Statistical Tools: R
• Visualization: Hue, Tableau

Jun 2012 – May 2013 · 11 mos · Chennai Area, India

• Development of a Hadoop based data platform for Payments Division
• Generating conversion reports for different products
• Production Triaging for analyzing failures
• Dataset: 60 TB of data for 3 months (10 million transactions per day)
• Data Storage: HDFS
• Data Processing: Apache Pig, Apache Hive
• BI Tool: Tableau

Jun 2011 – Jul 2011 · 1 mo · Chicago

• Utilized attributes-based feedback in an active learning framework to allow classifiers learn more effectively from their mistakes
• Applied proposed approach to scene and face recognition problems
• Work accepted in ECCV 2012 (Oral)
• Supervisor: Devi Parikh
• Tools: Matlab, Amazon Mechanical Turk

Sep 2010 – Nov 2010 · 2 mos

• Developed an algorithm for video authentication using change detection