Summary
Overview
Work History
Education
Skills
Accomplishments
Timeline
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Vineet Mahale

Vineet Mahale

AVP - Data Scientist
Mumbai,MH

Summary

Senior Data Scientist with ~9 years of proven track record of building ML driven products in e-commerce, banking and healthcare industry. Expert in machine learning and deep learning on large datasets. Passion for innovation and focus on delivering exceptional value to businesses and help achieve their goals

Overview

9
9
years of professional experience

Work History

AVP - BIU Data Scientist

Axis Bank
10.2023 - Current
  • Managing a team of 5 data analysts to improve profitability and productivity within Small Business Banking (SBB) having a loan book of INR 60k crores
  • Developed opportunity sizing from existing non-SBB Axis pool basis industry, turnover, customer utilization, repayment, profitability etc. Used word2vec to identify customers basis similar industries
  • Identified cross-sell opportunities within existing and non-SBB customers basis industry relevance and other attributes
  • Built customer segmentation framework to differentiate bands basis profitability and loyalty
  • Designed an early warning system to detect churn in customers. Built a propensity model with entity embeddings. Evaluation metrics: accuracy - 0.75, recall - 0.8
  • Working on a pricing framework for new customers and renewal customers

Senior Data Scientist

Zalora Group
03.2022 - 09.2023
  • Pricing optimization: Developed a pricing engine for brands across 10 categories and uplifted GMV by 30% - built forecasting model to predict demand at SKU % discounts, designed AB experiments and improved campaign performance on customer segments basis propensity
  • Evaluation metrics - MAPE: 30% for 45 brands across 10 categories and 6 countries, AB test significance level: 0.95, statistical power: 0.8; Propensity model accuracy: 0.75, recall: 0.94
  • Managed a team of 3 junior data analysts, guiding them on quick turnaround projects - Developed a system to identify customer segments and shipping charges to improve PC2
  • Built graph model to link and identify customers that have high cancellations and returns

Manager, Data Science & Analytics

Tata CliQ
07.2019 - 02.2022
  • Customer retention management projects: Created a user personalization engine leveraging user's clickstream behavior and portfolio of other algorithms to improve user engagement via customer retention management (CRM) channels and increasing CRM conversion rate by 80%, click-through rates by 100% and revenue by 35% compared against traditional CRM campaigns
  • Engagement identifier models: Built models to predict user's purchase propensity in every session using sequential models and collaborative filtering and content similarity-based recommendations basis users' revealed preferences
  • Propensity Prediction Accuracy-85%, Recall-90%, precision-65%; NDCG for collaborative filtering- 0.55.

Senior Business Analyst

Harman Connected Services
06.2017 - 06.2019
  • Led a team of 10 and worked collaboratively with one of the Fortune 500 US pharmaceutical clients to design analytics solution frameworks
  • Designed and implemented advanced statistical models to predict physician churn and predict ROI of marketing campaigns such as sampling and speaker programs.

Decision Analytics Associate

ZS Associates
08.2015 - 06.2017
  • Provided strategic support to clients for market access optimization by creating sampling strategies for new drug launches, assessing market opportunities and sales performance of portfolio brands
  • Created forecasting models to assess market potential in different stages of disease areas
  • Developed automated tools to capture product's performance metrics for client's product portfolios since launch using R, VBA & Spotfire.

Education

B.Tech - Metallurgical & Materials' Engineering

IIT Madras
06.2015

Skills

Pythonundefined

Accomplishments

  • Published an Indian Patent Application Number: 202121031898 at Tata CliQ - Providing personalized CRM recommendations based on user behavior in e-commerce
  • Top 3 finalists from total 30 Tata Group Firms and 170 initiatives under Tata Innovista, Tata Group's Implemented Innovations Awards
  • Achieved an All-India Rank 2646 in IIT JEE 2011 (Joint Entrance Examination)

Timeline

AVP - BIU Data Scientist

Axis Bank
10.2023 - Current

Senior Data Scientist

Zalora Group
03.2022 - 09.2023

Manager, Data Science & Analytics

Tata CliQ
07.2019 - 02.2022

Senior Business Analyst

Harman Connected Services
06.2017 - 06.2019

Decision Analytics Associate

ZS Associates
08.2015 - 06.2017

B.Tech - Metallurgical & Materials' Engineering

IIT Madras

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Vineet MahaleAVP - Data Scientist