Akshay Jain
Cincinnati,USA
Summary
Servant leader with 12+ years of experience in leveraging Cloud Platforms and ML algorithms to influence CRM, Digital Marketing, and Category Management strategies; generated millions in incremental revenue for Fortune 50 companies.
Overview
12
12
years of professional experience
Work History
Data Science Manager - Strategic Marketing
The Home Depot
Atlanta, GA
02.2021 - Current
- Led a team of 12 onshore and offshore data scientists to provide strategic modeling and analytics support for audience marketing programs, generating $500M in revenue across paid/owned/retail media platforms.
- Spearheaded the development of the consumer personalized engine in Vertex AI on GCP, enabling strategic customer targeting and channel optimization; leading to an outstanding $50M in additional revenue growth.
- Designed A/B tests to test new modeling enhancements (uplift model, CLV model) and targeting strategies (audience governance model) to optimize audiences; boosted incremental revenue by 15%.
- Chartered the development of Bayesian MMM/MTA models in-house to optimize media investments and measure campaign ROI; resulting in a $2M in cost savings.
- Conducted business reviews to communicate outcome of projects, influenced senior leaders to optimize marketing strategies, driving a significant increase in campaign ROI and fostering cross-functional collaboration across teams.
- Launched comprehensive development programs for associates, resulting in an impressive 80% reduction in attrition rate, driving team stability and boosting overall productivity.
Data Science Manager - Customer Marketing
Bath & Body Works
Columbus, OH
04.2020 - 02.2021
- Spearheaded the team to leverage PySpark, developed ML based targeting models for CRM campaigns, delivering a substantial $20M in incremental revenue.
- Automated CRM and category insights reports using Tableau dashboards, accelerating delivery time by 20% and providing data-driven insights for strategic decision-making.
- Mentored junior associates by conducting technical/code reviews, and delivering timely feedback; elevated overall team performance and productivity.
Lead Data Scientist - Kroger Ventures
84.51
Cincinnati, OH
09.2018 - 04.2020
- Applied machine learning algorithms using DataRobot to predict and select top-performing CPG brands, leading to a remarkable 50% ROI growth.
- Leveraged Explainable AI tools to elucidate key factors influencing outcomes and automated insights with Tableau, reducing decision-making time by 30%.
- Facilitated skill development and performance improvements for junior associates through regular mentoring and feedback sessions, leading to a 20% increase in employee engagement.
Lead Data Scientist - Category Management
dunnhumby
Cincinnati, Ohio
04.2017 - 09.2018
- Built a robust Decision Tree model to determine optimal promotion allocation rules to target customers for the weekly promo email program; drove $5M in campaign sales.
- Leveraged Python and Tableau to create actionable insights, enabling optimal assortment and effective allocation of category space, achieved a 10% growth in sales.
- Led the creation of causal inference models to analyze assortment, price, and promotion strategies, facilitating a 30% enhancement in data-driven marketing and sales outcomes.
Analytics Manager - Business Insights
Luxottica
Cincinnati, OH
08.2015 - 04.2017
- Implemented regression modeling algorithms to identify key drivers impacting store traffic, streamlined store operations by optimizing labor; leading to a $4M revenue boost.
- Applied advanced analytics using Python to optimize product assortment in store, generated a substantial 12% increase in profitability.
- Developed MMM models to measure marketing ROI and optimize budget across all addressable (Paid Social, CRM) and non-addressable media interactions (TV, Radio); resulted in $1M in cost savings.
Statistical Analyst - Enterprise Customer Marketing
L Brands
Columbus, OH
06.2012 - 08.2015
- Deployed two-stage ensemble models, predicting customer response/spend behavior for CRM campaigns, leading to a $5M increase in campaign revenue.
- Conducted comprehensive statistical tests on novel modeling strategies, resulting in a 30% improvement in conversion rates and optimizing the overall marketing approach.
- Overlaid ensemble models with a coupon segmentation score to boost campaign uplift by 10%.
Education
MS - Business Analytics
University of Cincinnati
Masters - Engineering Innovation and Entrepreneurship
Wright State University
B.Tech - Biotechnology
SRM University
Skills
- Statistical Analysis and Machine Learning
- Machine Learning Algorithms
- Clustering Algorithms
- Media Mix Modeling
- Multi-Touch Attribution Modeling
- Recommendation Systems
- Causal Inference
- A/B Testing
- Data Visualization Tools
- Tableau
- Adobe Analytics
- Programming Languages
- SQL
- Apache Spark
- Python
- SAS
Timeline
Data Science Manager - Strategic Marketing
The Home Depot
02.2021 - Current
Data Science Manager - Customer Marketing
Bath & Body Works
04.2020 - 02.2021
Lead Data Scientist - Kroger Ventures
84.51
09.2018 - 04.2020
Lead Data Scientist - Category Management
dunnhumby
04.2017 - 09.2018
Analytics Manager - Business Insights
Luxottica
08.2015 - 04.2017
Statistical Analyst - Enterprise Customer Marketing
L Brands
06.2012 - 08.2015
MS - Business Analytics
University of Cincinnati
Masters - Engineering Innovation and Entrepreneurship
Wright State University
B.Tech - Biotechnology
SRM University