Apr 2021 – Jul 2021 · 3 mos

Jul 2018 – Apr 2021 · 2 yrs 9 mos · Gurgaon, India

• Working in liaise with engineering, product and operations team to improve customer experience and automate operations processes using Deep Learning and AI
• Mentors data scientists and interns on machine learning projects
• Built a Deep Learning pipeline that mimicked/automated manual customer on-boarding process for mobile insurance and drastically brought down the processing time from up-to 2 days to just 10 minutes
• Used predictive modeling to estimate the turn around time (TAT) for claim fulfillment that helped in improving customer experience, reducing the claim related calls at the customer care centers and improved rating of App on Playstore

Oct 2017 – Jul 2018 · 9 mos

• Worked with business, marketing and product team to deliver best experience of loyalty program for 1 Billion customers.
• Responsible for managing redemption vertical in the data science team and increasing revenue from redemption of loyalty points.
• Worked upon building predictive models like customer acquisition, customer retention and Merchandise/product recommendation
• Used machine learning models to identify target group for campaigns that saved avg marketing cost by roughly 15-20%
• Contributed in setting up analytics infrastructure.

Jun 2015 – Sep 2017 · 2 yrs 3 mos

• Responsible for helping business and marketing team in making data driven decisions.
• Devised and worked upon targeted marketing campaigns
• Worked upon campaign attribution model
• Automated campaign efficacy reports
• Gained significant experience in predictive analytics and machine learning and holds end-to-end ownership of projects - customer acquisition and retention models.
• Built a recommendation system for suggesting relevant merchandise products to customers and is currently being used in pushing product recommendations to customers via email.
• Automated a bunch of Ad-hoc requests and manual processes/tasks using python.
• Relevant Technologies: Python, R, SQL Server, PostgreSQL.

May 2014 – Jul 2014 · 2 mos · Mumbai Area, India

• Written white paper on “Application of Data Analytics” in various sectors like healthcare, insurance, Agriculture, Law & Justice, Government and Power & Energy.
• Used time series modeling to forecast sales for Aditya Birla Retail chain which aimed at maintaining enough stock of products to
• meet demand

May 2013 – Jul 2013 · 2 mos · Kolkata Area, India

• Improved the UI/UX of the display advertisement section of the website which led to a 6-7% reduction in the dropout rate.
• Conducted a thorough market research on radio advertising and contributed in making the business model for it.