May 2025 – Apr 2026 · 11 mos · London Area, United Kingdom

Aug 2023 – May 2025 · 1 yr 9 mos · London, England, United Kingdom

Jul 2022 – Aug 2023 · 1 yr 1 mo · London, England, United Kingdom

• Leading the Data Science Initivatives.

May 2022 – Jul 2022 · 2 mos · London, England, United Kingdom

Oct 2021 – Apr 2022 · 6 mos · London, England, United Kingdom

• Working with the CEO and leading the Data Science Practice. Using NLP, Computer Vision and Other Machine Learning Techniques to solve some of the most complex problems in the Medical World.

Mar 2020 – Oct 2021 · 1 yr 7 mos · London, England, United Kingdom

• Received Gold Award & Best Paper at Data Science Conference for implementing solutions to tackle class imbalances in Nielsen’s Panel Data
• Built automated model building pipeline from scratch to automate ETL, model building (using Elastic Net regression, Random Forest, Nearest Neighbor and Artificial Neural Networks) and deployment. Built 3000+ models.
• Automated 10+ ETL tasks using Apache Airflow to make data readily available for model requests & thus reducing the model building time by 70%.
• Developed custom python packages to validate the model performance in real world by validating it using third party data sources.

Mar 2018 – Jun 2019 · 1 yr 3 mos · Cameroon

• Developed Regression Model to predict sales and market prices with an R-Squared value of 81% that helped top management to take trading calls.
• Automated reports to the Sales & Operations team using ETL to acquire data from SQL server and python script to analyse the data, prepare summary reports & mail to the team.
• Automated labor hiring process using trends in sales and warehousing operations that resulted in 50% savings in labor cost.
• Led a multinational team of more than 50 in sales, marketing and analytics. Managed top line of $100 million and 130+ wholesale clients.

Jul 2015 – Mar 2018 · 2 yrs 8 mos

• Led the team to implement sales force automation that works in all stages in the sales cycle. Automated the sales process for repeat & future sales.
• Set up loyalty program from scratch to reward customers and collect valuable consumer data to analyse their buying behaviour using CRM.
• Led the collection and systematic analysis of primary data of retail market to identify the major trends and growth opportunities.
• Managed sales & distribution network of 130+ partners in UP east, & led a team of 6. Awarded second best sales branch out of 20 sales branches for FY 2017-18.

Jul 2015 – Jun 2016 · 11 mos

• Conducted Market and competitor analysis (market sizing, drivers and dynamics & competitive intensity) for launching new businesses.
• Conducted primary research and developed regression model to predict customer buying behaviour using SPSS.
• Led the team to launch Osteopathy business for the 1st time in India & set up clinic in Jaipur. Achieved 80% occupancy within 30 days of launch.

Apr 2014 – May 2014 · 1 mo · New Delhi Area, India

• Project: Strategy for growth in market share of Caterpillar 320D2 Hydraulic Excavator

Jan 2014 – Mar 2015 · 1 yr 2 mos · Ahmedabad

• Worked as Global Co-President and managing 850+ members of 30 teams across 12
• countries
• Conducted President’s Congress in New Delhi and Shanghai with Indian and Chinese teams
• Remained as the Top International Performer for one month out of 867 members from 30
• Universities across 11 countries
• Worked on the Project “Impact of Oil and Gas exploration in Arctic Region”. Calculated
• the benefits of carrying out the oil explorations now as $50 per barrel verses benefit of $100 per
• barrel if the exploration is done after 10 years.

Aug 2012 – May 2013 · 9 mos · Vizag

• 1st position after Mid-Term Appraisal in Eastern Region Electrical Merit List among 18 Executive
• Trainees recruited from different IITs and NITs

May 2011 – Jun 2011 · 1 mo · Surat,Gujarat

• 1 among 8 students selected from all IITs for Reliance Industries Ltd. IIT / UICT Summer Internship Program.
• Received Pre Placement Offer on the basis of the performance during the internship.