Oct 2020 – Jul 2022 · 1 yr 9 mos · London, England, United Kingdom

• 1. Leading the Creator Affiliate relevance workstream where we are working on recommending products to creators on IG. Leading a team of 5 engineers.
• 2. Lead the full ML life cycle for Shop Destination Automation ML product, including Data pipelines, Modeling, Testing, and Production.
• 3. Project Management and XFN Collaboration with IG Ads, IG Personalization, DA Ranking, Data Science, and Product Discovery Team.

Jun 2016 – Oct 2020 · 4 yrs 4 mos

• 1. Tech Lead for the Project Fresh Produce Quality Inspection at DC Receiving using Deep Learning and Computer Vision. Also Filed a patent on the Deep Learning Architecture used in this Project.
• 2. Tech Lead for the Customer Review Analysis Project on Walmart.com using NLP techniques to recover customers through actions on feedback.
• 3. Lead for the Two Day Shipping Tags project.
• 4. DC Bar code image recognition tool to read Barcodes using CV techniques at the DC incoming.
• 5. Worked on time series modeling and Big Data infrastructure to manage the supply chain in Walmart.
• 6. Providing mentorship and direction to juniors.

Jan 2015 – Jun 2016 · 1 yr 5 mos · Mumbai Area, India

• Day to Day Job Includes:
• 1. Implementing Graph Algorithms efficiently to work big graphs.
• 2. Using Machine Learning Techniques.
• 3. Adhoc data analysis and pattern search.
• 4. Presenting data findings to senior management on a regular basis.
• Accomplishments:
• 1. Implemented Connected component algorithm taking cues from a research paper which got the process running time from 24 hour to 18 mins.
• 2. Used load balanced Mapreduce algorithm to efficiently implement a comparison of the order of quadrillion.
• 3. Built a visualization for connected view of all the users in the network.
• Tools Used: Python, Hadoop, R, Spark

Oct 2012 – Dec 2014 · 2 yrs 2 mos · Noida Area, India

• Built Recommendation engine for a mobile offering for Amex using python core libraries.
• Implemented Bayesian Bandits approach for dynamic A\B testing of campaign variants for an inhouse product.
• Worked on HDFS and Hadoop to create reporting layer using Pig,hive and impala for an inhouse product.
• Active participation in Kaggle machine learning contests where i have used an variety of techniques ranging from gradient boosting trees to random forests to neural networks using scikit learn.

Jan 2012 – Aug 2012 · 7 mos · Mumbai Area, India

• Co-Founded LMT Learning Solutions with the motivation to provide a career head-start to school going children.
• Worked on Client procurement, Vendor Management and Marketing related to the business.
• Provided inputs for website development and strategic marketing of the website on the internet.
• Marketed and presented the idea in front of parents and principals.

Jun 2011 – Mar 2012 · 9 mos · Mumbai Area, India

• Key responsibilities:
• Day to day interaction with 5 different clients, understanding their business needs, gathering data from different databases, analyzing those data using different software and coming up with the best solution.
• Keeping track of all the business aspects of P&G Asia by generating periodic reports based on latest data.
• Initiative:
• Discovered a new process to automate the repetitive work being done at Fractal which showed the potential to save 160 man hours per month using My SQL
• The work was highly appreciated by higher authorities at Fractal and I lead a team of 5 members to leverage this initiative in the best possible way across different markets.