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ShaswatShankar1/README.md

Hi πŸ‘‹ I'm Shaswat Shankar

πŸš€ AI & Machine Learning Enthusiast | Software Engineering Learner

πŸŽ“ B.Tech CSE (AI & ML) Undergraduate πŸ“ India πŸ’» Passionate about Machine Learning, Full Stack Development, and Software Engineering 🌱 Currently learning Advanced Machine Learning, React, .NET, and System Design


πŸ’‘ About Me

I'm a Computer Science student specializing in Artificial Intelligence & Machine Learning with a strong interest in building intelligent applications and scalable software.

I enjoy working on Machine Learning projects, solving real-world problems, and continuously improving my software engineering skills through hands-on projects and industry simulations.


πŸ›  Tech Stack

Programming Languages

  • Python
  • C
  • JavaScript
  • TypeScript
  • SQL

Machine Learning

  • Scikit-learn
  • Pandas
  • NumPy
  • Matplotlib
  • Data Preprocessing
  • Feature Engineering
  • Model Evaluation

Web Development

  • React.js
  • Redux
  • HTML
  • CSS
  • Styled Components

Backend

  • ASP.NET Core
  • C#
  • REST APIs
  • MongoDB

Tools

  • Git
  • GitHub
  • VS Code
  • Postman

πŸ“‚ Featured Projects

🏠 House Price Prediction

  • Built a Machine Learning regression model for predicting house prices.
  • Applied feature scaling and preprocessing.
  • Evaluated using MAE and RΒ² Score.

πŸ”— https://github.com/ShaswatShankar1/house-price-prediction


πŸŽ“ Student Performance Prediction

  • Classification model using Logistic Regression.
  • Data cleaning and visualization.
  • Performance evaluation using accuracy metrics.

πŸ”— https://github.com/ShaswatShankar1/student-performance-prediction


πŸ’¬ Student Feedback Sentiment Analysis

  • NLP project using TF-IDF and Logistic Regression.
  • Text preprocessing and sentiment classification.
  • High accuracy using Scikit-learn.

πŸ”— https://github.com/ShaswatShankar1/student-feedback-sentiment


πŸ€– TalentLens AI

  • AI-powered project focused on intelligent data analysis and prediction.
  • Built using Python and Machine Learning techniques.

πŸ”— https://github.com/ShaswatShankar1/talentlens-ai


πŸ’³ Commonwealth Bank Software Engineering Job Simulation (Forage)

Completed practical software engineering tasks including:

  • Modifying an existing .NET backend
  • Working with React & Redux frontend
  • Updating REST API requests
  • Writing unit tests
  • Creating Git branches, commits and Pull Requests
  • Working with MongoDB

Skills Gained

  • C#
  • ASP.NET Core
  • React
  • Redux
  • TypeScript
  • REST APIs
  • MongoDB
  • Unit Testing
  • Git & GitHub

πŸ† Certifications

βœ” Commonwealth Bank Software Engineering Job Simulation (Forage)


πŸ“ˆ Currently Learning

  • Advanced Machine Learning
  • Deep Learning
  • System Design
  • React Ecosystem
  • ASP.NET Core
  • Data Structures & Algorithms

πŸ“« Connect with Me

πŸ“§ Email: [email protected]

πŸ’Ό LinkedIn: https://www.linkedin.com/in/shaswat-shankar-07a0ba335

πŸ’» GitHub: https://github.com/ShaswatShankar1


⭐ Always open to internships, collaborations, and exciting opportunities in AI, ML, and Software Engineering.

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