Rishitha Korrapati
Graduate Teaching Assistant - DSCI 640 (Neural Networks) @ Rochester Institute of Technology
About
I still remember the first time I cleaned a massive dataset and made sense of it; that thrill never left.I’m an aspiring data scientist, passionate about transforming messy data into meaningful insights. Currently, I’m honing my skills through RIT’s MS in Data Science program, where I’ve worked on projects ranging from AI bias evaluation to web app development.My journey into data science started with curiosity and grew through hands-on projects, where I applied techniques in machine learning and NLP. Whether it was analyzing sentiment on Twitter, building dashboards to track healthcare risk, or evaluating fairness in AI-generated travel narratives, I’ve enjoyed every step of turning raw, messy data into something clear and impactful.I’m comfortable working with Python, SQL, Tableau, and machine learning libraries like scikit-learn. But beyond tools, I care about the why: asking the right questions, exploring ideas thoroughly, and presenting findings that people can use.Right now, I’m looking for opportunities where I can contribute to real-world projects, keep learning from strong teams, and grow into a well-rounded data scientist. I bring strong analytical skills, a willingness to figure things out, and a love for clean code and clear communication.
United States
Rochester
Higher Education
Microsoft Power BI, Tableau, SQL, R (Programming Language), Python (Programming Language), Data Science
Experience

Data Science Intern
1. Implemented a real-time voice AI system using WebRTC streaming, low-latency audio processing, and dynamic response synthesis and developed parallelized image-processing pipelines to accelerate medical imaging workflows. 2. Preprocessed raw data and constructed embedding-ready datasets, then engineered vector search pipelines using Pinecone for high-accuracy similarity retrieval. 3. Contributed to platform development of Sona-AI health assistant, focusing on AI voice assistant. 4. Built utilities for bounding-box generation around tumor regions in MRI scans to support diagnostic visualization.
Rishitha Korrapati's Contact Information
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