π B.Tech Artificial Intelligence Student at SRM Institute of Science and Technology π» Aspiring Software Engineer | AI & Data Science Enthusiast | Full Stack Learner
- π Fourth Year B.Tech (Artificial Intelligence)
- π Interested in Artificial Intelligence, Machine Learning, Data Analytics and Full Stack Development
- π Strong foundation in Python, SQL, Power BI and Data Visualization
- π± Currently learning React, FastAPI, System Design and Data Structures & Algorithms
- π― Preparing for Software Engineering and Data Science roles
- Python
- SQL
- C++
- Java
- HTML
- CSS
- Pandas
- NumPy
- Scikit-learn
- XGBoost
- Prophet
- Streamlit
- FastAPI (Learning)
- MySQL
- SQLite
- Git
- GitHub
- Power BI
- Excel
- Google Colab
- VS Code
A portfolio management platform that tracks investments, analyzes stock performance and provides AI-assisted insights.
Tech Used Python β’ SQLite β’ Machine Learning β’ Financial Analytics
Machine learning pipeline developed during internship work for forecasting demand of newly launched products using surrogate SKUs and time series forecasting.
Tech Used Python β’ Prophet β’ Pandas β’ Forecasting β’ Data Analytics
Machine learning based stock prediction project using historical market data and visualization.
Tech Used Python β’ Scikit-learn β’ XGBoost β’ Data Visualization
Recommendation system that generates meal plans based on nutritional requirements and user preferences.
Tech Used Python β’ Machine Learning
- React
- FastAPI
- Full Stack Development
- Data Structures & Algorithms
- LeetCode
- System Design
- Build production-ready Full Stack AI applications
- Contribute to Open Source
- Solve 200+ LeetCode Problems
- Earn Professional Certifications
- Secure a Software Engineering Internship
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