Neha S. Email & Phone Number

California, United States

San Jose, California, United States

• Developed and deployed scalable machine learning models using Spark and Kafka, improving fraud detection accuracy by 7% and contributing to $1M in revenue growth
• Designed and implemented end-to-end ML pipelines using Airflow, reducing model deployment time by 30%
• Utilized Java and Scala to build distributed systems for processing large datasets, handling over 1 million transactions per day
• Leveraged IBM Cloud to create cost-effective fraud detection solutions, reducing infrastructure expenses by 23%
• Conducted A/B tests to validate hypotheses and optimize model performance, resulting in a 10% reduction in false positives

San Jose, California, United States

• Implemented a machine learning pipeline for analyzing over 10,000 patient EHR records, increasing analysis efficiency by 20%
• Enhancing image annotation capabilities by efficiently labeling 500 images using CVAT, Roboflow, and OpenCV
• Transformed an object detection pipeline using UNET and YOLO that improved the model's efficiency by 13%
• Conducted rigorous testing and evaluation to validate the model's performance, adjusting parameters to ensure robustness and reliability, ultimately achieving significant improvements in model accuracy and runtime

United States

- Developed a predictive student retention model using machine learning, resulting in an 8% improvement in retention rates.- Optimized course scheduling through data analysis, increasing enrollment efficiency by 12%.- Built interactive dashboards using Tableau and Power BI to analyze student performance and support data-driven decisions.- Conducted a.

Karnataka, India

• Developed a real-time anomaly detection system using distributed computing frameworks like Amazon EMR and Amazon Kinesis, reducing false positives by 25% and improving incident response times
• Collaborated with cross-functional teams to enhance operational efficiency by 15% through predictive modeling and statistical analysis, utilizing AWS Step Functions for data orchestration and integrating QuickSight for.
• Introduced a decision engine with AWS Glue to process over 1M+ claims
• Conducted root cause analysis using SQL on Amazon Redshift, resulting in a 20% reduction in defects

Karnataka, India

• Designed comprehensive test suites in Java, increasing test coverage by 20% and reducing post-release defects by 15%
• Developed and deployed a defect tracking system that improved bug reporting efficiency by 30%, enabling faster issue resolution and timeline adherence
• Conducted root cause analysis on recurring issues, contributing to a 25% decrease in bug recurrence and overall software quality improvement

Master'S Degree, Applied Data Science

Activities and Societies: Part of the Indian Student Organization(ISO) and SJSU as a peer graduate advisor for incoming master's students..

Bachelor Of Technology - Btech, Electronics And Communication Technology, 7.8/10(Cgpa)