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naveen-malla/README.md

Hi, I'm Naveen Malla 👋

Data Scientist at Kasha.co • PhD Researcher at Trier University • AI for Healthcare

About me

  • Building prediction models to reduce loss‑to‑follow‑up (LTFU) in HIV patient care at Kasha.co.
  • Pursuing a PhD at Trier University on the synergy between Large Language Models (LLMs) and Case‑Based Reasoning (CBR).

Skills

  • Transformers and LLMs: Hugging Face (Transformers, Datasets, Evaluate), prompt engineering, RAG, vector search (FAISS)
  • Hybrid reasoning: LLM + Case‑Based Reasoning (case retrieval/adaptation, interpretable decision support)
  • Predictive modeling for healthcare: LTFU risk scoring, cohort analytics, time‑series forecasting
  • Serving and systems: FastAPI, model packaging and evaluation, Git/GitHub, AWS
  • Speech/NLP workflows: transcription and text processing

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  1. Synthetic_City_Generator Synthetic_City_Generator Public

    Jupyter Notebook 1

  2. graph-rag-recipes graph-rag-recipes Public

    Research implementation of Grounded RAG for recipe adaptation with dietary constraints. Compares ingredient-level vs. whole-recipe retrieval approaches using the RecipePairs dataset.

    Python 1

  3. Social_Media_Content_Scraper Social_Media_Content_Scraper Public

    Webscraping memes and their comments from 9gag and analysing the comments using NLP to understand how people are reacting to the memes.

    Python 2

  4. AI-Research-Assistant AI-Research-Assistant Public

    Python 1

  5. Customer-Segmentation-and-SKU-Forecasting Customer-Segmentation-and-SKU-Forecasting Public

    This repo contains code for performing customer segmentation and sales forecast prediction on a company's sales data.

    Jupyter Notebook 1 1

  6. Kaggle-Projects Kaggle-Projects Public

    Jupyter Notebook