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Shravani018/README.md

Hi, I'm Shravani

Data Scientist with one year of fintech experience, currently pursuing a Master's in Applied Data Science at Frankfurt School of Finance & Management. My work has focused on automation pipelines, executive dashboards, and machine learning solutions such as OCR-based KYC workflows, market sentiment analysis, and customer segmentation models.

Tech Stack

Languages: Python R SQL

Analytics & BI: Power BI Tableau Streamlit

Data Engineering: Apache Spark Apache Hadoop Databricks Selenium n8n

Cloud & Tools: AWS Docker

Let's Connect

Email

Open to collaborations on explainable ML, data science discussions, or AI ethics.

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  1. llm-audit-bench llm-audit-bench Public

    A modular pipeline that audits 5 small HuggingFace LLMs across transparency, fairness, robustness, explainability, and privacy. Produces per-pillar scores across the 5 pillars of AI trustworthiness.

    Jupyter Notebook

  2. llm-stress-tester llm-stress-tester Public

    A framework to evaluate how open-source language models handle adversarial prompts. Tests across hallucination traps and jailbreak scenarios.

    Python 2

  3. rag-from-scratch rag-from-scratch Public

    A minimal, fully local Retrieval-Augmented Generation pipeline built from scratch. Covers document chunking, embedding with sentence-transformers, vector storage via ChromaDB, and LLM generation th…

    Python

  4. interpreting-transformer-hallucinations interpreting-transformer-hallucinations Public

    Mechanistic interpretability of transformer hallucinations via attention flow, residual stream geometry, and head-level attribution analysis.

    HTML

  5. xai-credit-risk-analysis xai-credit-risk-analysis Public

    A credit risk prediction project that compares multiple machine learning models and applies explainable AI methods to interpret and analyze model decisions.

    Jupyter Notebook

  6. deepfractals deepfractals Public

    Visualizing deep learning dynamics as fractals in the complex plane

    Python