May 2020

Strategy Consulting Virtual Experience Program

• Conducted in-depth market research on potential growth opportunities within the technology sector, identifying three untapped markets and customer segments with a projected revenue increase of $500,000. • Utilized advanced data analysis techniques to analyze consumer behavior trends and identify critical insights for client recommendations, resulting in a 10% increase in customer satisfaction ratings.

July 2019 - March 2020

Centre Level Coordinator

• Facilitated interactive workshops on Fundamentals of Science to 50+ unprivileged girls at one of the Bhumi's centers. • Coordinated cross-functional teams and resources for awareness campaigns across 3 cities in India.

Jan 2024 - Mar 2025

Data Engineer at Radiance Technologies

• Built scalable ETL pipelines with Apache Spark and Airflow, reducing data processing time by 30% through efficient handling of healthcare data. • Optimized data storage using Snowflake, achieving a 35% reduction in storage footprint and enhancing data retrieval. • Implemented real-time streaming with Apache Kafka, improving data availability for analytics by 25%. • Applied dbt for SQL transformations, leading to a 20% boost in query performance and ensuring maintainable data models. • Collaborated with clinicians and analysts, developing data solutions that contributed to a 15% decrease in hospital readmissions. • Created interactive dashboards in Tableau, providing stakeholders with real-time insights into health metrics. • Deployed end-to-end pipelines on AWS using AWS Glue

April 2021 - July 2022

Data Analyst at Autobat Accumulator

• Optimized production efficiency by 10% through SQL analysis of datasets from three manufacturing units. • Reduced inventory holding costs by 15% by developing automated dashboards in Power BI and Excel, enhancing visibility across multiple states. • Achieved 95% accuracy in battery demand forecasting using Python for data cleaning, statistical analysis, and predictive modeling. • Improved data quality by 20% by standardizing data collection processes in collaboration with cross-functional teams. • Decreased equipment downtime by 25% through Python-based analytics for preventive maintenance. • Increased market share by 7% by conducting competitor and market analysis using Excel and Python libraries.