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SnehaDharne/README.md

👋 Hi there! I'm Sneha Dharne

🚀 Data Engineer | 🧠 ML Engineer | 🏥 Health Tech Innovator

I'm passionate about leveraging data to drive insights and innovation, especially in the healthcare sector. Currently pursuing my MS in Computer Science at Stevens Institute of Technology, I'm on a mission to transform complex data into actionable intelligence.

🔬 What I'm Up To

  • 🎗️ Interning at Oncology Reference Inc., where I'm building ETL pipelines and automating data processes
  • 📊 Developing AI-powered tools for financial report generation and medical data analysis
  • 📚 Studying for GCP and AWS Solution Architect certifications
  • 🤝 Seeking connections with fellow data engineers and health tech enthusiasts

🛠️ Tech Stack

  • Languages: Python, SQL, Java, JavaScript
  • Data Science: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
  • Big Data: Spark, Kafka, PySpark
  • Cloud: AWS (S3, EC2, Lambda), Google Cloud Platform
  • Visualization: Power BI, Matplotlib, Seaborn

🏆 Featured Projects

📈 Data Engineering Capstone (https://github.com/SnehaDharne/StockAnalyticswithAWS)

Developed a big data pipeline using AWS, Spark, and Kafka, for a Capstone Project at Chubb.

🤖 Fin-AI Co-pilot (https://github.com/SnehaDharne/FinancialReportGeneratorGenAI)

Built an AI tool using LangChain for automated financial report generation, cutting report creation time from 8 hours to 10 minutes.

🚗 NYC Collision Risk Prediction (https://github.com/SnehaDharne/BigDataAnalytics-MVCollisions)

Led ETL on 5M records using PySpark, built a prediction model with 84% accuracy, and scaled the solution on GCP.

🤖 Guided ML - An Assistant for Sr. Data Scientists

Automate manual finetuning, hyperparameter testing and feature engineering using LLMs and Agentic RAG.

🩺 Early Ocular Disease Diagnosis (https://github.com/SnehaDharne/OcularDiseaseRecognition)

Used CNN models (ResNet50, VGG16) to classify fundus images, achieving an F1 score of 0.8 and AUC of 0.9.

🩺 Early GDM Diagnosis in Women (https://github.com/SnehaDharne/GDM-diagnosis)

Used ML models to diagnose early stage GDM in pregnant women, research featured in Journal of Ayurveda and Integrative Medicine

📫 Let's Connect!

I'm always excited to collaborate on innovative projects or discuss the latest in data engineering and AI. Feel free to reach out!

Looking forward to connecting with fellow data enthusiasts and health tech innovators! Let's build something amazing together! 🚀

Pinned Loading

  1. Azure/PyRIT Public

    The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.

    Python 2.3k 450

  2. StockAnalyticswithAWS Public

    Capstone Project with Chubb.

    Python 1

  3. FinancialReportGeneratorGenAI Public

    Report Generator ChatBot designed to analyze financial metrics, generate reports, and create graphs based on user preferences. It leverages LangChain for AI agent workflows and provides a suite of …

    Jupyter Notebook 2

  4. BigDataAnalytics-MVCollisions Public

    Leveraging NYC Open Data, this repository contains Databricks notebooks for analyzing motor vehicle collisions. We perform EDA, spatial clustering, and predictive modeling on collision, vehicle, an…

    Jupyter Notebook 1

  5. OcularDiseaseRecognition Public

    Fundus image analysis for ocular disease recognition using deep learning. This repository implements image preprocessing, MIRNet enhancement, and transfer learning with ResNet50 and VGG16 for class…

    Jupyter Notebook 1

  6. VAERS-SymptomExtractionwithAI Public

    VAERS Adverse Event Analysis for COVID 19 Vaccine : A hybrid approach combining LLMs (Gemini 1.5 Flash) and statistical methods for enhanced vaccine safety signal detection. Analyzes temporal and a…

    Jupyter Notebook 1 1