Mar 2024 – Oct 2024 · 7 mos · Hyderabad, Telangana, India · Hybrid

• Building data pipelines for monthly/weekly compliance reports and supporting business expansion across regions.
• Developing an ETL product with data modeling, report generation, and orchestration for Tax Audit teams.
• Enabling self-service capabilities for compliance and audit processes.

Jul 2022 – Feb 2024 · 1 yr 7 mos · Hyderabad, Telangana, India · Hybrid

• Ingesting and building business-critical metrics for the Windows organization.
• Identifying key verticals to calculate different cohorts and develop OKR metrics.
• Productionized ML models and implemented new frameworks, reducing training costs by 80% using the Resilience LPG framework.
• Conducted training sessions on Azure ML, Azure Synapse, ADF pipelines, telemetry sources in Windows, and ML model productionization.

Jul 2019 – Jun 2022 · 2 yrs 11 mos · Hyderabad Area, India

• Architecture Design: Designed a scalable data ingestion solution using Amazon ECS, Fargate, EC2, and S3.
• Data Ingestion: Built critical datasets and implemented incremental improvements based on business requirements.
• Operational Excellence: Automated failure analysis and proactive recovery actions, reducing operational overhead and improving pipeline reliability.

Jul 2017 – Jun 2019 · 1 yr 11 mos · Hyderabad Area, India

• Cost Optimization: Worked on a Cost-Based Allocation Model for Chase Merchant Services, enabling faster decision-making to manage excess costs.
• Data Visualization: Built Tableau Dashboards for Chase Mortgage Banking and used Alteryx for data blending, wrangling, and extract creation.
• Automation & Big Data: Automated code deployment using Jenkins, reducing operational overhead. Gained expertise in Big Data technologies like YARN, Hive, Impala, and Spark to manage data lakes.

Jun 2016 – May 2017 · 11 mos · Chennai Area, India

• Teaching Assistant for Electric and Magnetic fields(EMF) course and CAD lab

May 2015 – Jul 2015 · 2 mos · Bangalore

• Fault Detection in Vehicles: Worked on feature selection to classify faults and improve detection accuracy.
• Text Mining for Supervised Learning: Applied text mining techniques to verify ground truth and create a high-quality training dataset for fault classification.

May 2013 – Apr 2014 · 11 mos · Chennai Area, India