Led the development of a Spark-based data transformation pipeline for fraud detection, reducing model training time by 30%. Trained and optimized machine learning models to score fraud risk, decreasing false positives by 15%. Integrated models into financial transaction streams using AWS Lambda and Kafka, achieving sub-50ms inference latency. Developed ETL pipelines processing 10GB of daily transaction data with AWS S3 storage and enabled real-time fraud reporting via Tableau, reducing reporting latency by 40%.

Software Engineer at NTT Data

May 1, 2022 - August 28, 2025

Designed and launched over 20 REST APIs on CloudHub to enhance data flow and reduce latency by 40% using Amazon SQS. Streamlined deployment for 12 applications by building CI/CD pipelines, resulting in a 31% faster deployment cycle. Refined data integration from Snowflake, Salesforce, and legacy systems into Data Warehouse with Agile practices and unit testing, cutting deployment errors by 30%. Automated Jira task creation reducing manual effort by 60%, earning awards for data integration and independent solution design.

Data Science Intern at Eatler India Pvt Ltd

October 31, 2020 - August 28, 2025

Conducted web scraping on e-commerce platforms, analyzed pricing and market trends, performed sentiment analysis on over 25,000 customer reviews, and created data visualization dashboards using Tableau.

Senior Software Engineer at NTT Data

June 30, 2023 - October 17, 2025

Engineered a Spark-based data transformation pipeline for fraud detection, reducing model training time by 30%. Trained and optimized machine learning models for fraud-risk scoring, reducing false positives by 15%. Integrated models into financial transaction streams using AWS Lambda & Kafka, ensuring sub-50ms inference latency. Developed an ETL pipeline to pre-process 10GB daily transaction data to enable outlier detection using AWS S3 storage and real-time fraud reporting via Tableau, reducing reporting latency by 40%.

Software Engineer at NTT Data

May 31, 2022 - October 17, 2025

Designed and launched 20+ REST APIs on CloudHub, enhancing data flow to reduce latency by 40% using Amazon SQS. Streamlined deployment for 12 applications by building CI/CD pipelines, resulting in 31% faster deployment time. Refined data integration from Snowflake, Salesforce, and legacy systems into Data Warehouse, cutting deployment errors by 30% with Agile practices and unit testing.

Data Science Intern at Eatler India Pvt Ltd

October 31, 2020 - October 17, 2025

Conducted web scraping on e-commerce platforms, analyzed pricing and market trends, performed sentiment analysis on 25,000+ customer reviews, and created a data visualization dashboard using Tableau. Projects included image upscaling using AI (PSNR 27.5, SSIM 0.92) with back-end in Python/FastAPI, deployed on AWS EC2; enabled multimodal image search via text and images using CLIP-based technique; designed fine-tuning pipeline for LLaMA 3.2-1B model using LoRA and FP16, reducing memory footprint by 48% while preserving accuracy; achieved 2x faster runtime on P100 GPUs with memory logging.