PROFESSIONAL OVERVIEW

Aug 2021 Present
■ Directed Machine learning model development, validation, testing & implementation of analytical products and application
■ Conceptualized and implemented a sentiment analysis root cause tool to rate process on user comments & provide action for quality with 32% improvement
■ Implemented an end-to-end machine learning production pipeline on Flask Framework, REST API
■ Developed a solution architecture using Azure Databricks, Azure Data Lake Gen2, Azure Data Factory (ADF), Azure Blob Storage & Power BI
■ Implemented Azure Data Factory Pipelines, scheduled, monitored data Pipelines Deputy Engineer Mar 2018 - Mar 2020
■ Developed Machine Learning Model on sensor data for Product performance forecasting & plotting various maps and reports for testing & quality assurance team
■ Deployed ML models in production as APIs (Flask), Heroku, AWS, Docker environment
■ Built predictive models with Adaboost to prioritize content with AUC score of 0.81 Network Engineer
■ Developed test scripts using Python for VLAN configuration, backup scripts
■ Analyzed traffic of data to predict network capacity requirements for efficient network design