Snekha S.

- Built and tested an NLP classification model using JPMC’s OmniAI & AWS SageMaker to understand issues with service tickets throughout the firm (Python) - Improved NLP model’s confidence to 90% by retraining model, implementing performance measurement tools, and integrating AWS Comprehend features

- Managed 7 officers and over 50 members, spearheaded new mentorship program, organized corporate events

- Lead meetings, mentor underclassmen, organize corporate events, and communicate with current and prospective sponsors

- Developed an application using Node.js and Express to convert Jessie’s Kids Foundation’s funding request system from paper to electronic

- Developed Python application to: pull user activity and profile information from production database, transform data, produce valuable data insight, and load to Redshift (AWS) - Designed and implemented follower suggestion enhancements on Grokker’s corporate wellness platforms using JavaScript - Developed schema for improved segmentation of client dashboard

- Designed and developed Python application to: pull consumer electronics review information using PromptCloud, clean and pre-process datasets, and write to multiple PostgreSQL database tables - Executed unit testing and performance testing for varying file and data volumes

- Integrated Fastlane (open source platform for automated testing) into Android and iOS versions of payment card security mobile application using Java and Swift

- Applications in Data Science Certificate - Certificate in Entrepreneurship and Innovation - Minor in Economics