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reddy-nithin/README.md

Hi, I'm Nithin Songala 👋

Data Scientist · ML Engineer · Data & Business Analyst
MS in Data Science · University of Missouri–Kansas City · Graduating May 2026

🧠 About Me

I'm a graduate student specializing in Data Science with a passion for turning raw, messy data into decisions that matter. I build end-to-end data pipelines, machine learning applications, and analytical dashboards — from ingestion to insight.

  • 🎓 Graduating May 2026 with an MS in Data Science from UMKC
  • 🔭 Currently building AI-powered tools in the healthcare & regulatory space
  • 🌱 Exploring LLMs, RAG pipelines, and MLOps practices
  • 🎯 Actively seeking roles in Data Science · ML Engineering · Data/Business Analytics

🛠️ Tech Stack

Languages & Querying

Python SQL JavaScript HTML5 CSS3

Data Engineering & Cloud

Google BigQuery GitHub Actions ETL Pipelines Excel

Machine Learning & AI

Scikit-Learn FAISS BM25 Google Gemini RAG Jupyter

Visualization & BI

Tableau Streamlit

🚀 Featured Projects

🔬 TruPharma-MVP

RAG-powered drug label Q&A system using FDA data

  • Built a Retrieval-Augmented Generation (RAG) pipeline combining FAISS + BM25 hybrid search with Google Gemini LLM
  • Delivers evidence-based answers to drug label questions via a clean Streamlit interface
  • Foundation for a comprehensive pharmaceutical intelligence platform
  • Python FAISS BM25 Google Gemini Streamlit Jupyter

🏦 ReguCheck-Risk-Engine

Bank-grade regulatory risk reporting pipeline

  • End-to-end data pipeline covering ingestion, validation, reconciliation, and reporting
  • Interactive risk dashboards built in Streamlit for loan portfolio analysis
  • Demonstrates production-level data engineering patterns used in financial services
  • Python Streamlit Data Validation Risk Analytics

🏙️ 311-KC-Dashboard

Automated ETL pipeline for Kansas City 311 service requests

  • Python ETL → Google BigQuery → Tableau dashboard, fully automated
  • Scheduled with GitHub Actions for hands-free, recurring data refresh
  • Demonstrates real-world data engineering + BI integration
  • Python BigQuery Tableau GitHub Actions ETL

🗃️ UMKC-Archives-Data-Extractor

Automated archival metadata extraction tool

  • Extracts, cleans, and organizes date/metadata from structured Excel files for library and archival use
  • Designed for real-world archival workflows at UMKC
  • Python Excel Data Cleaning Automation

📊 GitHub Stats

📫 Let's Connect

I'm actively looking for full-time opportunities in Data Science, ML Engineering, Data Analytics, and Business Analytics starting May 2026. Feel free to reach out!

LinkedIn · Email · Portfolio

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  1. TruPharma-Clinical-Intelligence TruPharma-Clinical-Intelligence Public

    A RAG application that answers drug-label questions using official FDA data with evidence base response. Built with Streamlit, FAISS, BM25, and Google Gemini LLM. Foundation for building a comprehe…

    Python 1 1

  2. TruPharma-MVP TruPharma-MVP Public

    A RAG application that answers drug-label questions using official FDA data with evidence base response. Built with Streamlit, FAISS, BM25, and Google Gemini LLM. Foundation for building a comprehe…

    Jupyter Notebook 1

  3. ReguCheck-Risk-Engine ReguCheck-Risk-Engine Public

    End-to-end regulatory risk data pipeline demonstrating bank-grade loan risk reporting: data ingestion, validation, reconciliation, and interactive dashboards with Streamlit

    Python 1

  4. -311-KC-Dashboard -311-KC-Dashboard Public

    Automated data pipeline for Kansas City 311 service requests. Python ETL → Google BigQuery → Tableau dashboards. Scheduled via GitHub Actions.

    Python 1

  5. UMKC-Archives-data-extractor UMKC-Archives-data-extractor Public

    This Python tool automates the process of extracting, cleaning, and organizing date-related information and metadata from structured Excel files. It is designed for use in archival, library, or his…

    Python 1