Skip to content
View sharmai309's full-sized avatar

Block or report sharmai309

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
sharmai309/README.md

Profile Views

Hi, I'm Isha Sharma! 👋

💼 Data Scientist | AI Engineer | Machine Learning | Generative AI

I'm a Data Scientist with 8+ years of experience in Fraud Analytics, Risk Modeling, Machine Learning, and AI-driven solutions. I enjoy building intelligent applications using LLMs, Agentic AI, and modern Machine Learning techniques to solve real-world business problems.


🎓 Education

  • 🎓 M.S. in Applied Data Science — University of Chicago
  • 🎓 Applied Generative AI Specialization — Purdue University

🚀 What I'm Currently Working On

  • 🤖 AI Agents & Agentic AI Applications
  • 🧠 Large Language Models (LLMs)
  • 🔍 Retrieval-Augmented Generation (RAG)
  • 📊 Machine Learning & Predictive Analytics
  • 💳 Fraud Detection & Risk Analytics
  • ⚡ End-to-End AI Applications with Python

🛠️ Tech Stack

💻 Programming Languages

Python SQL PySpark


🤖 Machine Learning & AI

Machine Learning TensorFlow Scikit-Learn LangChain OpenAI


📊 Data Analytics

Pandas NumPy Tableau Power BI


🌟 Areas of Interest

  • 🤖 Artificial Intelligence
  • 🧠 Large Language Models (LLMs)
  • 🔍 Retrieval-Augmented Generation (RAG)
  • ⚙️ Agentic AI
  • 📈 Machine Learning
  • 💳 Fraud Detection
  • 📊 Risk Analytics
  • ☁️ AI Applications

📫 Let's Connect

LinkedIn

📧 Open to opportunities in Data Science, AI, Machine Learning, Generative AI, and Risk Analytics.


If you like my work, feel free to explore my repositories and connect with me on LinkedIn!

Pinned Loading

  1. egnn-flow-reactive-structures egnn-flow-reactive-structures Public

    Python

  2. fraudproject fraudproject Public

    metrics and fraud detection

    Jupyter Notebook

  3. GAN-Generating-fake-images GAN-Generating-fake-images Public

    A Generative Adversarial Network (GAN) is a type of deep learning model used to generate new data that looks similar to real data. It is widely used for creating fake images, faces, artwork, and ev…

    Jupyter Notebook

  4. Generative-Adversarial-Network-GAN-for-Personalized-Product-Recommendation Generative-Adversarial-Network-GAN-for-Personalized-Product-Recommendation Public

    I developed a GAN-based recommendation system that uses adversarial training to model complex user-item interactions. By pitting a generator against a discriminator, the model learns to produce hig…

    Python

  5. HR_Budget-_vs_Actuals_Analysis HR_Budget-_vs_Actuals_Analysis Public

    Budget vs Actuals Analysis Using Julius AI Consider a typical budget vs actuals dataset containing monthly expenses across departments, with a detailed breakdown of HR-related costs such as salarie…

  6. RAG-Research-Assistant RAG-Research-Assistant Public

    A production-style Retrieval Augmented Generation (RAG) system built on arXiv AI papers, with a built-in failure analysis framework.

    Jupyter Notebook