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About me



  • 2021 - 2022
    Agilon Health

    Data Scientist/ Machine Learning Engineer

    • Designed and developed end to end ML lifecycle for ML models which predict Customer Churn on Databricks using MLOps.
    • Utilized TensorFlow and Scikit-learn to build predictive models like Decision Trees, Random Forest, XG Boost., reducing churn rates and
    achieving 85% model accuracy.
    • Conducted A/B Tests, Hypothesis Tests, Unit and Integration Tests to build resilient ML systems.
    • Implemented CI CD pipelines and automated model retraining which resulted in high accuracy and availability of models.
    • Designed and developed a data platform for Patient EMR data using AWS services (EC2, Snowflake, Airflow).
    • Collaborated with cross-functional teams, including sales and marketing, to communicate insights and recommendations.

  • 2020 - 2021

    Data Engineer

    • Designed and implemented a real-time data pipeline to process raw data by integrating 100 million records from more than 15 data sources
    using PySpark on AWS Databricks.
    • Designed and implemented changed data capture using Delta Tables on cloud for 10million records every month which improved the changed
    data update performance by 45%.
    • Led the migration of SAS code to Spark, data from SQL server to S3 resulting in 50% lesser processing time after optimization.
    • Collaborated with Data Scientists and Research and Development team in understanding the data requirement for ML models which predicts
    customer retention for various insurance policies.
    • Obtained meaningful insights, generated reports for business users using MS SSRS, PowerBI.

  • 2018 - 2020
    Infosys Limited

    ETL Developer

    • Developed RESTful web services using Flask for post processing data from intelligent sources like OCR.
    • Developed data capture process to get required data from defined positions from posters/image using OpenCV2.
    • Designed and developed batch processing management on cloud Using Apache Nifi.
    • Collaborated with clients from across the globe, gathering requirements and engaging with multiple stakeholders to develop and maintain 12
    different data-pipelines.
    • Designed and Developed Data warehouse and Built ETL pipelines to process and load 5 million records into Data Lake for downstream use.