Feb 2022 – Jun 2023 · 1 yr 4 mos · Bengaluru, Karnataka, India

• ➜ Built a spark-based data ingestion framework that streamlined the movement of data from RDS replica to Redshift, significantly reducing the workload of data engineers to a simple YAML file update.
• ➜ Designed & developed end-to-end ML pipelines to automate data preprocessing, model training, and deployment using AWS SageMaker.
• ➜ Implemented monitoring and logging mechanisms to track the model performance and identify potential issues in data pipelines.
• ➜ Implemented workload management (WLM) on the Redshift cluster and introduced a role-based access system for analysts, finance professionals, and engineering teams, improving performance and ensuring secure data access.

Jul 2019 – Jan 2022 · 2 yrs 6 mos · Gurgaon, India

• ➜ Built recommendation engine for the blogging website to deliver personalised content to read and courses to enroll.
• ➜ Utilized clickstream data from user interactions, such as reading history, bookmarks to build user profiles and capture their preferences and interests.
• ➜ Created end-to-end data pipeline that scrapes queries from emails and maps it to the right mentor.
• ➜ Code Review of Top Ranks on DataHack
• ➜ 25+ Published Articles related to Machine Learning, Model Deployment, Spark, Airflow, Model Deployment & Big Data.

Jan 2019 – Jun 2019 · 5 mos · Gurgaon, India

• ➜ Created web scrapers to extract data from websites like Kaggle, Goibibo, Steam Community, Arxiv.
• ➜ Worked under the guidance of Senior Data Scientist to code Machine Learning Solutions for the
• Standard Bank, South Africa.

May 2018 – Jul 2018 · 2 mos · Gurgaon, India

• ➜ Used RASA-NLU to prepare entity detection models to predict entities like menu items, cuisines, and locations in the reviews.

May 2017 – Jul 2017 · 2 mos · Gurugram, Haryana, India