Skip to content
View srushtigm25's full-sized avatar
🎯
Focusing
🎯
Focusing
1 follower · 4 following

Achievements

Achievement: YOLO

Achievements

Achievement: YOLO

Block or report srushtigm25

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.

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
srushtigm25/README.md

Srushti Gadera Manjunathappa

Typing SVG

divider

👩‍💻 What I Do

I specialize in Machine Learning, Data Science and Software Development.

🧑‍🎓 About Me

🎓 I’m a CS graduate student at California State University, Sacramento, passionate about transforming data into actionable insights.
💻 My experience spans Data Engineering, Machine Learning and Product Engineering, where I’ve built:

  • 🚀 Scalable ETL pipelines.
  • 🛠️ Optimized SQL queries for high performance.
  • 🤖 Implemented AI-driven forecasting models.

👥 Beyond technical expertise, I enjoy collaborating with teams, mentoring and creating impactful solutions for complex problems.

divider

🛠️ Tech Stack

💻 Programming Languages

🔧 Frameworks & Technologies

🛠️ Tools

divider

🤝 Connect with Me

🎉 Fun Fact

💡 “Any sufficiently advanced technology is indistinguishable from magic.” – Arthur C. Clarke

divider

Profile Views

Pinned Loading

  1. Chatbot-with-Google-Sheets-Integration Chatbot-with-Google-Sheets-Integration Public

    This project integrates a chatbot interface with OpenAI's GPT-4 model and Google Sheets data to provide intelligent responses based on spreadsheet content. It features a user-friendly graphical use…

    Python

  2. Image-captioning-using-deep-learning Image-captioning-using-deep-learning Public

    Python

  3. SepsisNet SepsisNet Public

    The goal of this project is to propose a novel framework, SepsisNet, for predicting sepsis mortality using graph transformers applied to clinical data originally in tabular format.

    Jupyter Notebook