Apr 2025 – May 2025 · 1 mo · Los Angeles, California, United States

Jul 2023 – Oct 2024 · 1 yr 3 mos · Bengaluru, Karnataka, India

• ◦ Managed a team of 4 members to develop and implement an end-to-end test bed for data validation
• testing, resulting in a 30% increase in efficiency and accuracy of data warehouse processes.
• ◦ Developed and designed scalable data architecture to handle a volume of 1TB of data daily, resulting
• in improved system performance and streamlined workflows.
• ◦ Implemented a comprehensive code migration strategy, updating legacy code to the latest technologies, resulting in a 700% improvement in system performance.

Feb 2023 – Jul 2023 · 5 mos · Remote

• ◦ Developed and implemented ML models, statistical techniques, and hypothesis testing to identify factors
• impacting campaign performance. Provided actionable insights to clients on dashboards for campaign
• optimization.
• ◦ Created a comprehensive rating formula to evaluate and classify ad campaign performance based on key
• metrics.
• ◦ Designed and implemented secure ETL processes, extracting data from various APIs (Twitter, Facebook,
• Instagram, LinkedIn). Transformed data into a standardized format for analysis and reporting.
• ◦ Collaborated with cross-functional teams to translate data requirements into SQL queries. Supported
• data-driven decision-making with actionable insights.

Apr 2022 – Mar 2023 · 11 mos · Bengaluru, Karnataka, India

• Improved statistical-based models for exclusion classification, resulting in a 240% increase in
• classifications and reduced False Positives.
• ◦ Performed data analysis and visualization on millions of data points from 36 different metrics sourced
• from VCS, utilizing Python, SQL, and data visualization tools to derive actionable insights.
• ◦ Proposed and built an automated pipeline for Impact Analysis calculations, leveraging ETL processes,
• Python, and automation tools to save hours of manual effort.
• ◦ Developed and trained machine learning models for exclusion candidate identification in commit and
• file-level data, employing Python, machine learning algorithms, and data preprocessing techniques.

Mar 2021 – Mar 2021 · 0 mo · Bengaluru, Karnataka, India · On-site

• Hindustan Aeronautics Limited is a state-owned aerospace and
• defense company governed under the Ministry of Defence.
• Projects: AI-Powered Defect Detection and Disposition in Aircrafts
• Worked hands-on for :
• Raw data cleansing and preprocessing.
• Applied and performed classic NLP techniques.
• Data sampling and Model Improvements.