Open to opportunities

Chetan Kemkar

@chetankemkar

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Experienced data engineering and AI executive driving digital transformation.

United States

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What I'm looking for

I am looking for a role that fosters innovation, encourages collaboration, and offers opportunities for professional growth in data and AI.

I am a data engineering and AI executive with over 14 years of experience in driving enterprise-scale digital transformation. I have a proven track record of leading globally distributed teams to build next-generation data and AI platforms. My expertise lies in enterprise data architecture, cloud platforms, and AI/ML solutions, where I have successfully overseen comprehensive initiatives that enhance operational efficiency and drive innovation.

Currently, I lead a 60+ member global team at The Michaels Companies, where I have architected AI-driven solutions that have significantly improved customer engagement and operational efficiencies. Notable achievements include developing a real-time personalization engine that increased average order value by 28% and implementing ML-based inventory optimization that reduced stockouts by 35%. My commitment to excellence and innovation has consistently delivered measurable results and positioned organizations for future growth.

Experience

Work history, roles, and key accomplishments

Current

Director of Data & AI Platform

Current

The Michaels Companies, Inc.

Dec 2021 - Present (3 years 6 months)

Leading the Data and AI organization at Michaels, overseeing AI, data architecture, and analytics initiatives. Designed enterprise data models, developed ML solutions for personalization, and implemented data governance frameworks. Achieved significant improvements in operational efficiencies and cost reductions through innovative data strategies.

Data Architecture Machine Learning Cloud Platforms Data Governance Data Modeling BigQuery MLOps

Director of Data Science & Engineering (MLOps)

CGI

Feb 2018 - Jan 2022 (3 years 11 months)

Led enterprise ML/AI initiatives for Fortune 100 clients, managing diverse teams. Architected AI-based platforms for transaction analysis and healthcare analytics, achieving significant accuracy and cost savings. Established MLOps Center of Excellence and improved delivery efficiency through agile methodologies.

Machine Learning Data Architecture MLOps Fraud Detection Healthcare Analytics Team Leadership Agile Methodologies Data Modeling Predictive Analytics

Sr. Manager Data Science

PetSmart

Sep 2017 - Mar 2018 (6 months)

Led retail analytics and ML initiatives for growth optimization. Developed customer segmentation models and market basket analysis using extensive transaction data to enhance customer insights and drive business strategies.

Machine Learning Customer Segmentation Basket Analysis Data Analysis Data Mining Team Leadership Data Visualization

Senior Data Scientist

American Express

Aug 2015 - Mar 2016 (7 months)

Led data science initiatives focusing on credit risk assessment and fraud detection. Developed machine learning models and real-time scoring systems, enhancing the company's ability to manage risk and improve customer segmentation.

Machine Learning Credit Risk Fraud Detection Data Science Predictive Analytics Data Mining Team Leadership Big Data Technologies NoSQL Databases

Researcher (Machine Learning & Data Analytics)

Google

Jan 2014 - Apr 2015 (1 year 3 months)

Worked on the Google Earth Engine Team as a Data Architect, designing machine learning solutions for climate data analysis. Developed predictive models and automated data analysis pipelines, contributing to significant advancements in environmental data processing.

Machine Learning Data Analytics Python R BigQuery Data Processing Predictive Analysis Data Mining Remote Sensing

Postdoctoral Research Associate

NASA

May 2012 - Nov 2013 (1 year 6 months)

Conducted research for the NASA Landsat 9 satellite program, developing algorithms for geospatial data analysis and creating data processing pipelines for satellite imagery. Collaborated with government agencies and presented findings at conferences.