Summary
Overview
Work History
Education
Skills
Timeline
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Sabarish Srinivasan

Bengaluru

Summary

Performance-driven Analytics & Product Leader with over 12 years of experience aligning tech systems with business requirements, to drive operational efficiency and hyper growth. Passionate about building goal & result oriented teams and improving the user experience across internal and external facing products. Extremely data driven and focused on solving business problems by developing analytics solutions.

Overview

13
13
years of professional experience

Work History

Vice President Product & Data Analytics

Razor Group GmbH
03.2022 - Current
  • Owned the product roadmap, aligning it with strategic objectives across Finance, Supply Chain, and Revenue & Growth.
  • Developed analytics solutions that enhanced data accessibility, driving insights for improved business performance.
  • Cultivated cross-departmental collaboration, resulting in a more agile and informed decision-making process.
  • Improved contribution margin from 10% to 16% YoY with a focus to increase profitability by optimizing pricing and performance marketing initiatives
  • Improved the Inventory Days of holding through enhanced buying automation from 200 days to 180 days and reduced supply chain lead times from 180 days to 150 days with planning efficiency
  • Leveraging AI across use cases for Product Launches across geographies and drive listing & content optimization
  • Demonstrated proficient leadership skills to motivate employees and built competent teams across Analytics,Product and Data Engineering

Assistant General Manager

Paytm
10.2021 - 03.2022
  • Worked with the CEO's Office to build Data products across the organization for the core business verticals to provide visibility of all KPIs across teams
  • Headed product for the migration towards the new in-house Risk Engine System to detect and reduce fraudulent transactions. Reduced customer fraud by 2 % MoM
  • Improved the flows for the Merchant Onboarding system and reduced dropoffs by 2% MoM

Assistant General Manager

Paytm Mall
05.2021 - 09.2021
  • Led the Demand/Supply Planning, Merchandising & Marketing function for Fashion Categories
  • Built teams across Analytics, Merchandising & Growth to drive topline and improved CTR by 50% and improved conversion by 7% from pre cashback era baselines
  • Implemented frameworks across Customer NPS, Assortment Planning, PLA, Catalogue enrichment & product defect rates through data models and analytics to enhance customer experience

Senior Manager

Flipkart
05.2015 - 05.2021
  • Transformed the way Fashion looks at data by creating the pipelines and a robust set of dashboards to understand the consumer buying trends and identify the right cohorts of consumer demand; drove this with categories to improve buying efficiency; built data lakes and warehouses from scratch and set up analytics process to store large amounts of historical data to provide recommendations across use cases
  • Headed the Supply Planning team for Fashion by setting up FP&A and reduced Inventory Holding days of complex long tail categories from 120 days to 75 days
  • Pioneered in building data pipelines and visualizations to enable stakeholder teams to derive quick and actionable insights and improved daily sell through from 0.8% per day to 1.1%
  • Through robust reporting and data visibility, improved operational processes to drive structural improvement in shipping speed by over 1.5 days and cost per shipment by 5%
  • Initiated the set-up of Inventory Planning process at a central level and built policies to improve planning efficiency and evangelized across teams. Framed the policy for Slow & Non Moving inventory and built pricing algorithms and clearance models to improve overall topline
  • Supported central planning teams to build AoP across categories across demand and traffic metrics

Senior Business Analyst

Mu Sigma Business Solutions
09.2012 - 05.2015
  • Led engagements across retail and telecommunications clients across projects. Built models to understand consumer behavior in diversified markets. Provided recommendations for campaign measurements and understand the key areas of growth
  • Supported leadership team with reporting, analysis, and business presentations to inform divisional strategies
  • Identified opportunistic markets to increase/drop the price based on price responsiveness, Demographics, Macro-economics and external factors using K-Means clustering to group stores/markets with similar characteristics; provided pricing recommendations based on the properties of the cluster of stores/markets by building Price Elasticity Regression models
  • Expanded Pricing and Competitive Intelligence across 1000+ Stores for Retail clients

Education

Bachelor of Technology -

B.M.S College of Engineering
Bengaluru, India
01-2012

Pre University College -

Shri Bhagwan Mahaveer Jain College
Bengaluru, India
01-2008

10th Grade (I.C.S.E) -

B.P Indian Public School
Bengaluru, India
01-2006

Skills

  • Product Strategy & Roadmap
  • Data Analytics
  • Stakeholder Management
  • Portfolio Optimization
  • Demand & Supply Planning
  • Automation & Insights
  • AI & Machine Learning
  • SQL/R/Python/Tableau/Power BI
  • AWS/Azure/Oracle

Timeline

Vice President Product & Data Analytics

Razor Group GmbH
03.2022 - Current

Assistant General Manager

Paytm
10.2021 - 03.2022

Assistant General Manager

Paytm Mall
05.2021 - 09.2021

Senior Manager

Flipkart
05.2015 - 05.2021

Senior Business Analyst

Mu Sigma Business Solutions
09.2012 - 05.2015

Bachelor of Technology -

B.M.S College of Engineering

Pre University College -

Shri Bhagwan Mahaveer Jain College

10th Grade (I.C.S.E) -

B.P Indian Public School

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Sabarish Srinivasan