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Divyadhole/README.md

👋 Hey, I'm Divya Dhole

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🧬 About Me

I'm a Data Scientist and ML Engineer passionate about transforming healthcare through intelligent data systems. Currently completing my MS in Data Science at the University of Arizona (December 2025), I specialize in building end-to-end ML solutions from processing millions of genomic records to creating predictive models that drive real-world impact.

What drives me: I love finding patterns in complex datasets and turning them into actionable insights that make a difference. Whether it's optimizing resource planning by 25% through genomic data analysis or forecasting security trends across 500K+ records, I thrive on solving challenging problems at the intersection of data science and human impact.

Currently exploring:

  • 🧠 LLMs & Generative AI applications in biomedical research
  • ☁️ Scalable ML pipelines on cloud platforms (AWS, Azure)
  • 📊 Predictive models for healthcare and safety operations
  • 🚀 Open-source data science tools and collaboration

My toolkit: Python, R, SQL • PyTorch, TensorFlow, Scikit-Learn • Power BI, Tableau, Plotly • AWS, Azure • Statistical Modeling, Predictive Analytics, NLP, GenAI

Fun fact: I've analyzed millions of genomic records and discovered that the best insights often hide in the messiest data! 🧬


🎯 Impact in Numbers

🧬 Genomic Records Analyzed 📈 Efficiency Improvement 🔒 Security Records Processed 🚗 Risk Models Built
Millions +25% 500K+ 100K+ records

💼 Featured Projects

🧬 Genomic Resource Planning

Built ML pipelines processing millions of genomic records, optimizing resource allocation with predictive analytics

Impact: 25% efficiency boost
Tech: Python, SQL, Statistical Modeling
Domain: Healthcare Analytics

🔐 Cybersecurity Trends Analysis

Analyzed 20-year longitudinal datasets to forecast security performance using advanced statistical models

Scale: 500K+ records
Tools: R, Power BI, Predictive Models
Output: Interactive dashboards

🚦 Safety Operations Modeling

Constructed ML models identifying transportation risk patterns through regression and feature engineering

Dataset: 100K+ records
Methods: Scikit-Learn, Hypothesis Testing
Result: Data-driven safety improvements

📊 Your Next Big Project?

I'm always excited to collaborate on innovative data science challenges!

✅ Open to healthcare analytics
✅ Interested in LLM applications
✅ Passionate about social impact

Let's Connect →


🛠️ Tech Arsenal

Python R SQL PyTorch TensorFlow Scikit-Learn

AWS Azure Power BI Tableau Git Linux


🏆 Achievements & Certifications

  • 🎓 MS in Data Science - University of Arizona (December 2025)
  • 🔬 Research Experience - Genomic Data Analysis & Predictive Modeling
  • 📊 Advanced Analytics - Statistical Modeling, ML, Big Data Technologies
  • 🌟 Cross-functional Leadership - Technical communication across diverse teams
  • 💼 Industry Projects - Healthcare, Cybersecurity, Transportation Safety

🤝 Let's Collaborate!

I'm passionate about projects that combine:

🏥 Healthcare & Life Sciences - Making medical data work for people
🤖 AI/ML Innovation - Pushing boundaries with LLMs and deep learning
🌍 Social Impact - Data science for good
📚 Open Source - Contributing to the community


📬 Connect With Me

LinkedIn Email GitHub Portfolio


Profile Views

💡 "Data is the new oil, but insights are the refined fuel that drives innovation."

⭐️ From Divyadhole


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