Experience

Junglee Games

• India
• Computer Games
• 700 & Above Employee

• Associate Director Data Science

  • Apr 2023 - Present

• Senior Manager Data Science

  • Apr 2022 - Mar 2023



Snapdeal

• India
• Software Development
• 700 & Above Employee

• Machine Learning Manager

  • Jul 2020 - Feb 2022

  Lead a team of Data Scientists to work on the following projects:Return to Origin (RTO) - Developed a classification model to predict the probability of RTO for a suborder. Build an API to estimate the probability in real time. The model is used for verifying every order at Snapdeal.Promised Date of Delivery (PDD) - Build a regression model to estimate the PDD for every shipment using historical lane features. The model is used for estimating PDD for every order at Snapdeal. Recommendation Engine - Used a combination of collaborative filtering and image similarity to generate similar recommendations for top products at Snapdeal. The recommendation engine is used to serve similar products on the product page.Product Deduplication - Developed a system to identify duplicate products using transfer learning and image similarity. Used it to remove duplicate items from homepage and search page which lead to a significant improvement in user experience. Show less

• Lead Data Scientist

  • May 2019 - Jul 2020


Jabong
• Taiwan
• Software Development
• 1 - 100 Employee
• Data Scientist

  • Dec 2017 - May 2019


ShopClues

• India
• Technology, Information and Internet
• 400 - 500 Employee

• Data Scientist

  • Dec 2016 - Dec 2017

  1. Was the sole owner of personalization and recommendations at ShopClues. 2. Personalized the homepage for ~10 Million users leading to a 100 % increase in CTR. 3. Created an in-house recommendation engine for up-sell and cross-sell using collaborative filtering. 4. The recommendation engine performed 10% better than the third party engine that was in place and contributes ~30% of the total orders for ShopClues. 1. Was the sole owner of personalization and recommendations at ShopClues. 2. Personalized the homepage for ~10 Million users leading to a 100 % increase in CTR. 3. Created an in-house recommendation engine for up-sell and cross-sell using collaborative filtering. 4. The recommendation engine performed 10% better than the third party engine that was in place and contributes ~30% of the total orders for ShopClues.



CenturyLink Cognilytics

• Associate Consultant

  • Jul 2015 - Dec 2016

  1. Cleansing, validating, and manipulating complex and big data using R and Python. 2. Reshaping and merging multiple large datasets to obtain curtailed summary tables and listings. 3. Applying machine learning algorithms like Random Forest, Gradient Boosting, SVM, Nearest Neighbours etc. to solve complex data science problems. 1. Cleansing, validating, and manipulating complex and big data using R and Python. 2. Reshaping and merging multiple large datasets to obtain curtailed summary tables and listings. 3. Applying machine learning algorithms like Random Forest, Gradient Boosting, SVM, Nearest Neighbours etc. to solve complex data science problems.



Indian School of Business

• India
• Higher Education
• 700 & Above Employee

• Research Associate

  • Oct 2014 - Jun 2015

  To examine the effect of mobile telephony tower on village growth using data from different sources like Census, Economic Census, Household Amenities etc. Responsibilities: 1. To clean, reshape, and merge several data sets and make one master data set. 2. Apply difference in difference and propensity score matching on the processed data. To examine the effect of mobile telephony tower on village growth using data from different sources like Census, Economic Census, Household Amenities etc. Responsibilities: 1. To clean, reshape, and merge several data sets and make one master data set. 2. Apply difference in difference and propensity score matching on the processed data.



Indian Institute of Management, Bangalore

• India
• Higher Education
• 700 & Above Employee

• Research Intern

  • May 2014 - Jul 2014

  Education and Employability in India Responsibilities: 1. Examine the key reasons that led to a decline in employability of engineering graduates in India. 2. Analyse the initiatives taken by various stakeholders to sustain the growth of Indian IT industry despite lack of skilled workforce. 3. Stakeholders include IT industry (providing technical, soft skill training), government, NASSCOM, and educational institutes. 4. Based on the above findings, developed a model to enhance the employability of an engineering graduate. Show less