Varun Suresh

Experience

• 

  L&T ECC Division

  Jun 2013 - Jul 2013

  Intern

  Summer training in electrical power distribution system.Successfully completed the design for electrical power distribution for a commercial building.

• 

  Mu Sigma Inc.

  May 2015 - Jun 2018

  -Successfully converted pilot project into a long-term program: customer care operations for a Fortune 5 retail company. Handled the 1M engagement, leading a team of 11 membersImproved consumption of in-house analytical tools by 85% across various delivery functions by creating -use cases and functionalities. These tools saved the business $10 Million USD-Increased the billing for Australian retail account by 20% by leveraging structured problem-solving approaches to translate business problems to analytical solutions-Mentored 2 batches of recruits to develop their analytical and problem-solving skills-Cultivated strong client relationships through engagements by connecting on a weekly basis. Facilitated multiple client visits by presenting the team’s engagement journey Show less Customer Retention Campaign - Online Digital Marketing-Contributed to developing a retention campaign for an Australian retail giant for customers who are at the risk of lapsing.-Implemented the lapse model using Logistic Regression and Random Forest with nearly 85% accuracy in prediction- Performed extensive EDA to identify key drivers for online customer lapse behavior.- Iterated with business executives to develop rules to direct the campaign for a particular cohort of customersCustomer Insights and Analysis-This helped identify customers showing maximum growth over years and opened opportunities in the sphere of customer retention.-Implemented a CLTV project using Linear Regression for a Fortune 5 retailer.-Predicted lifetime value for customers for the 3 years from the time in which the model was built. The data set consisted of ~90Mn households in US.-The prediction was based out of a behavioral segmentation framework .- Models were developed for "Loyal customer" cohort and was later scaled to other cohorts such as "Intermediate shoppers". Their Lifetime values were compared with Attrition scores to identify target customers that were important for the business.-Specific analysis on multiple interest groups such "Private label brands", "Online Grocery","Fresh food" based on the interest of the business users. Their potential value and merchandising traits were analysed Customer Insights and Analysis-Implemented a project involving Customer Behavioral Segmentation using K-Means clustering technique. -The algorithm was implemented on a retail giant's sample data of 2.4M households and concluded on the company's data of 90 M households. -Contributed to the preparation of a comprehensive analytical dataset for the 90Mn population consisting of nearly 150 retail metrics.- Helped visualize the output into an info graphic for easy consumption Show less

  • Decision scientist

    May 2017 - Jun 2018

  • Trainee Decision Scientist

    May 2015 - May 2017
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  Genpact

  Jun 2019 - Aug 2019

  Digital Intern - Data Science

  -Developed a PoC for a retail client through a combination of AI and ML techniques to solve a Billion dollar inventory problem-Introduced to Computer Vision and Deep learning architectures - Used Computer Vision for Image segmentation to extract its volume-Built Neural Network based classification algorithm based on invoice and shipment level features to identify missing shipments and respective items. -Compared and contrasted the accuracy of NN based classification model with other classification techniques as RandomForest, AdaBoost and Decision trees. Show less

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  Axtria - Ingenious Insights

  Jun 2020 - now

  • Manager

    May 2023 - now

  • Project Lead

    Apr 2022 - May 2023

  • Senior Associate

    Jun 2020 - Apr 2022