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I am Jay Patel, a Senior Machine Learning Engineer with 5+ years delivering production ML systems that drive measurable business outcomes — including a 12% lift in customer engagement and a 20% improvement in markdown efficiency at Meijer. My expertise spans demand forecasting, recommendation engines, and propensity modeling, with ML Ops on AWS and Databricks, underpinned by a strong big data foundation in PySpark, Snowflake, and Airflow. I thrive on turning data into reliable platforms—building feature stores, scalable data pipelines, and automated CI/CD processes that enable cross-functional teams to move fast and make data-driven decisions.…I am Jay Patel, a Senior Machine Learning Engineer with 5+ years delivering production ML systems that drive measurable business outcomes — including a 12% lift in customer engagement and a 20% improvement in markdown efficiency at Meijer. My expertise spans demand forecasting, recommendation engines, and propensity modeling, with ML Ops on AWS and Databricks, underpinned by a strong big data foundation in PySpark, Snowflake, and Airflow. I thrive on turning data into reliable platforms—building feature stores, scalable data pipelines, and automated CI/CD processes that enable cross-functional teams to move fast and make data-driven decisions.

Jay Patel

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am Jay Patel, a Senior Machine Learning Engineer with 5+ years delivering production ML systems that drive measurable business outcomes — including a 12% lift in customer engagement and a 20% improvement in markdown efficiency at Meijer. My expertise spans demand forecasting, recommendation engines, and propensity modeling, with ML Ops on AWS and Databricks, underpinned by a strong big data foundation in PySpark, Snowflake, and Airflow. I thrive on turning data into reliable platforms—building feature stores, scalable data pipelines, and automated CI/CD processes that enable cross-functional teams to move fast and make data-driven decisions.…I am Jay Patel, a Senior Machine Learning Engineer with 5+ years delivering production ML systems that drive measurable business outcomes — including a 12% lift in customer engagement and a 20% improvement in markdown efficiency at Meijer. My expertise spans demand forecasting, recommendation engines, and propensity modeling, with ML Ops on AWS and Databricks, underpinned by a strong big data foundation in PySpark, Snowflake, and Airflow. I thrive on turning data into reliable platforms—building feature stores, scalable data pipelines, and automated CI/CD processes that enable cross-functional teams to move fast and make data-driven decisions.

Available to hire

I am Jay Patel, a Senior Machine Learning Engineer with 5+ years delivering production ML systems that drive measurable business outcomes — including a 12% lift in customer engagement and a 20% improvement in markdown efficiency at Meijer. My expertise spans demand forecasting, recommendation engines, and propensity modeling, with ML Ops on AWS and Databricks, underpinned by a strong big data foundation in PySpark, Snowflake, and Airflow.

I thrive on turning data into reliable platforms—building feature stores, scalable data pipelines, and automated CI/CD processes that enable cross-functional teams to move fast and make data-driven decisions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Hindi

Advanced

Work Experience

Senior Machine Learning Engineer at Meijer Inc.

September 20, 2023 - Present

Led the end-to-end MLOps platform on AWS and Databricks, supporting 10+ production models with automated weekly retraining, real-time multi-tenant inference, model registry, and drift monitoring. Implemented demand forecasting, collaborative filtering-based recommendations, propensity and LTV features, near-expiry detection and markdown optimization, and designed enterprise feature stores, data catalogs, CI/CD automation, and a modern data stack migration from on-prem to AWS.

Senior Data Engineer at ADP Inc.

May 1, 2022 - June 30, 2023

Designed production ML feature stores on S3 and Redshift powering gradient-boosted propensity models; engineered 80+ behavioral and transactional features; orchestrated 100+ Airflow DAGs on AWS MWAA; implemented multi-touch attribution pipelines; built an ML-ready data stack and optimized cloud costs; led DBT model development and CI/CD automation for ML workloads.

Clinical Business Operations Associate Intern at WHEEL Health, Inc.

August 1, 2021 - November 30, 2021

Built clinician performance scorecards with PostgreSQL and Looker, establishing a data foundation for downstream ML classification models to optimize referrals; migrated key ETL workflows to AWS Redshift and Looker for real-time monitoring of performance and compliance metrics.

Analytics Platform Intern at Change Healthcare

May 1, 2020 - August 31, 2020

Distributed PySpark and Hive ETL pipelines processing millions of health care records daily into S3 data lakes; designed A/B test analysis and trend detection pipelines for claims data to accelerate data-driven decisions.

Data Analytics Engineer at Axis Bank

September 1, 2018 - December 31, 2020

Built end-to-end ML pipelines for credit and risk, delivering predictive loan default models that improved risk scoring accuracy by 15% and reduced manual underwriting across 100K+ accounts; engineered feature pipelines using PySpark and SQL, standardizing data quality checks across model inputs.