Sneha Uppu

Sneha Uppu

About

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Data Science / Data Analyst | CS Graduate @ GWU | Data Science Intern @ Thaddeus Resource Center | Ex-PwC
District of Columbia, United States

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Résumé


Jobs verified_user 0% verified
  • Thaddeus Resource Center
    Data Science Intern
    Thaddeus Resource Center
    Nov 2025 - Current (10 months)
  • Wavess
    AI Intern
    Wavess
    Sep 2025 - Jan 2026 (5 months)
  • The George Washington University
    Support Assistant - GWU Library
    The George Washington University
    Jan 2025 - Current (1 year 8 months)
  • PwC
    CRM Intern
    PwC
    Feb 2024 - Aug 2024 (7 months)
  • TechnoHacks EduTech
    Machine Learning Intern
    TechnoHacks EduTech
    Jun 2023 - Jul 2023 (2 months)
  • I  T Labs
    Machine Learning Intern
    I T Labs
    Sep 2022 - Dec 2022 (4 months)
Education verified_user 0% verified
  • The George Washington University
    Master of Science - MS, Computer Science
    The George Washington University
    Jan 2024 - Mar 2026 (2 years 3 months)
  • Andhra University
    Bachelor of Technology - BTech, Computer Science
    Andhra University
    Jan 2020 - Dec 2024 (5 years)
Projects (professional or personal) verified_user 0% verified
  • A
    Analyzing Adverse Drug Reactions using FAERS Data
    Aug 2025 - Nov 2025 (4 months)
    Ingested and processed over 18 million adverse event reports from FDA FAERS quarterly datasets, standardizing nearly 1 million drug names, dosages, and reaction terms for consistent large-scale analysis. Conducted advanced statistical analysis including association rule mining (support, confidence, lift), synergy ratios, and logistic regression to detect drug-symptom relationships and interaction risks. Explored dose-response patterns through correlation and escalation modeling, identifying higher symptom severity trends across dosage ranges in diverse patient populations. Developed interactive Plotly dashboards visualizing symptom distributions, interaction networks, dosage variability impacts, and prioritized safety signals for pharmacovi
  • S
    Similar Image Finder
    Feb 2025 - Apr 2025 (3 months)
    Engineered a CLIP-powered semantic search engine by extracting ViT-B/32 embeddings from 21,000+ Unsplash images using PyTorch, enabling zero-shot multimodal similarity matching. Implemented KNN retrieval with cosine distance in Scikit-Learn, delivering top-6 similar images per query with 0.91 mean accuracy across 1,000 rigorous evaluation tests. Created Matplotlib visualization tools for side-by-side result comparisons, similarity score analysis, and embedding space exploration to highlight model interpretability. Demonstrated practical applications in content discovery and media management through robust performance on diverse conceptual queries beyond exact visual matches.