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23f2005144/README.md

Kavish Pal Singh

Third-Year BS Student in Data Science and Applications at Indian Institute of Technology, Madras


About Me

I am interested in applying Data Science and Machine Learning to practical problem solving and intelligent systems. I enjoy experimenting with data, building ML-driven solutions, and exploring how technology can improve processes, products, and decision making.

I also have experience working with backend development and web application development. Currently, I am learning more about AI, Deep Learning, and advanced machine learning concepts.


Technical Skills

Programming Languages

  • Python
  • Java
  • SQL
  • TypeScript

Data Analysis & Scientific Computing

  • Pandas
  • NumPy
  • SciPy
  • Microsoft Excel

Data Visualization

  • Matplotlib
  • Seaborn

Machine Learning

  • Scikit-learn
  • Supervised Learning
  • Unsupervised Learning
  • Feature Engineering
  • Model Evaluation

Backend Development & APIs

  • Flask
  • FastAPI

Web Development

  • HTML
  • CSS
  • JavaScript
  • Vue.js
  • MERN Stack

Tools & Systems

  • Git & GitHub
  • Linux Shell Scripting

Pinned Loading

  1. comment-category-classification comment-category-classification Public

    High-dimensional NLP pipeline for imbalanced comment classification using TF-IDF, feature engineering, and LightGBM (Macro F1: 0.8344)

    Jupyter Notebook 1

  2. BDM-Capstone-Project BDM-Capstone-Project Public

    An independent capstone project in Business Data Management focusing on Revenue Optimization for a Freight Forwarding MNC in India conducted over 6 months.

    1

  3. Household-Services-App-V2 Household-Services-App-V2 Public

    Full-stack household services SPA built with Vue and Flask, featuring RBAC, REST APIs, and async task processing.

    JavaScript 1

  4. Household-Services-App-V1 Household-Services-App-V1 Public

    MVC-based multi-user household services platform built with Flask, featuring RBAC and CRUD operations.

    HTML 1