Ankit Jain
Senior Data Science Lead
Reading
Summary
Seasoned data science and analytics leader with over 13 years of experience in Consulting, Program management and Delivery of large Digital transformation engagements with global CPG majors across regions, in the area of Connected Insights, Media effectiveness, Strategic revenue management, Omni channel strategy, Shopper marketing and product positioning strategy.
Overview
13
13
years of professional experience
6
6
years of post-secondary education
Work History
Director
Fractal Analytics
3 2019 - Current
- Leading the Consulting and Delivery of overall Demand analytics practice across US, UK and Europe regions for one of the biggest CPG clients at Fractal
- Managing the Account P&L and Leading a team of 100+ Business consultants, Data scientists, Data engineers and design experts in end to end consulting and delivery of analytical solutions including deployment on Azure cloud
- Working closely with Senior business stakeholders in translating business requirements to analytical solutions and articulating analytical solutions to actionable business insights in the form of a compelling story
- Subject matter expert in the areas of Connected Insights, marketing/media optimization, price-n-promo (trade funds) optimization, customer and shopper analytics across domains and industries
Senior Data Science Lead
Mars Snacking
08.2023 - Current
- Overseeing the complete data science development lifecycle of over 10 data science products, including PPA, TPO, 1 SRM, MMM, Ski-lift, Retail Media Measurement, 360 Spend Optimization, One Demand Model.
- Leading GenAI pilots including Conversational Insights Engine for Price Pack Architecture
- Collaborating with stakeholders across SRM and Marketing to capture business requirements and deliver actionable insight
- Enhancing productivity and efficiency through Data Science Frameworks and Accelerators, such as Attribution Models and Borrowing Algorithms
- Managing a team of 7 data scientists, providing guidance, and aligning team's activities with business priorities
- Driving standardization across tools such as performance measurement approaches for trade, national media, and in-store media, and Data Science playbook for the MMM solution
Program Manager, OPEX
Amazon
11.2017 - 02.2019
- Designed and implemented the efficient Packaging process to optimize the Shipping cost across 30+ categories sold on Amazon.IN (Value contribution > 50%)
- Formulated the optimal Inventory allocation strategy for reducing the Long zoning % (Amazon warehouse and Customer location are in different clusters) by 500 bps
- Developed the Machine learning approach for reducing the Return Rate across 15+ categories (Contributing to >40% of A.IN returns)
- Built the program roadmap of 20+ big initiatives (yielding a total annualized estimated reduction of 100 bps) to reduce Seller Reimbursement (one of the biggest cost contributor) for the largest category sold on Amazon.IN
- Partnered with Indian Machine learning team to develop Entity abuse model for reducing In-transit and In- facility Network loss
Capacity Planning Manager
Amazon
05.2017 - 11.2017
- Developed forecasting models to predict contact rate and plan capacity for worldwide contact centre network
- Managed headcount staffing and scheduling across multiple business and geographies
- Devised short and long term operational plans for different global sites to optimize staffing cost
- Liaised with worldwide stakeholders on standardization (alignment and adoption) of capacity planning metrics
Summer Intern
Flipkart
04.2016 - 06.2016
- Reduced material aging by improving E2E supply chain visibility via creation of real-time BI dashboards
- Identified major loss-making routes through AS-IS analysis of logistics process across 180 pickup hubs
- Designed & Deployed dynamic vehicle routing tool, mapping 5000 sellers to 9 hubs based on daily load & capacity
- Issued RFQs & evaluated technical bids using AHP model to select best transportation carrier Achievements
- Improved Seller NPS by 13 ppt through reduction in material losses, leading to potential savings of $200,00
- Increased Vehicle Capacity Utilization by 20 ppt whilst ensuring a service level of 98.5% during Pilot run
- Enhanced Vehicle & Field Executive productivity by 56%, resulting in potential annual savings of $2 Million
Winter Intern
General Mills
12.2015 - 01.2016
- Analysed asset reliability using Weibull analysis to maximize equipment life and minimize downtime
- Reengineered preventive maintenance cycle using principles of TPM to reduce Mean time between failures
- Proposed optimal maintenance framework to reduce maintenance cost by $10 million across 18 plants over four years
Analytics Lead
Fractal Analytics
07.2011 - 05.2015
- Led a team of 5+ analysts across 10+ project engagements overseeing end-to-end project management
- Formulated price & promotion strategy for a new product launch through market research & competitor analysis
- Identified most effective digital marketing channel for E-commerce platforms by analysing KPIs of 20+ ad-campaigns for a Online Customer Engagement Company thereby converting pilot project to permanent engagement worth $120,000
- 50% reduction in sales forecasting error by implementing predictive modelling and time series analysis
- Ensured 6.5% increase in revenue for client by devising region specific Go-To-Market and expansion strategy
- Effected 160% increment in ROI of TV ads by optimizing weekly GRP purchase and advertisement frequency
Education
MBA -
IIM Mumbai [NITIE]
Mumbai 06.2015 - 05.2017
B.E - Computer Science
Netaji Subhas Institute of Technology (NSIT)
Delhi 07.2007 - 05.2011
Skills
Revenue Growth Management [RGM/SRM]
Stakeholder Management
MMM & Connected Insights
Route to Market Strategy
Consumer and Behavioral Insights
Supervised & Deep-Learning ML Algorithms
Product & Program Management
Omni Channel & E-com Strategy
Retail Media Measurement
Gen AI
Timeline
Senior Data Science Lead
Mars Snacking
08.2023 - Current
Program Manager, OPEX
Amazon
11.2017 - 02.2019
Capacity Planning Manager
Amazon
05.2017 - 11.2017
Summer Intern
Flipkart
04.2016 - 06.2016
Winter Intern
General Mills
12.2015 - 01.2016
MBA -
IIM Mumbai [NITIE]
06.2015 - 05.2017
Analytics Lead
Fractal Analytics
07.2011 - 05.2015
B.E - Computer Science
Netaji Subhas Institute of Technology (NSIT)
07.2007 - 05.2011
Director
Fractal Analytics
3 2019 - Current
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