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deephabiswashi/readme.md

Hello, I'm Deep Habiswashi! 👋

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About Me

I am a 3rd-year Electronics & Computer Science Engineering student at KIIT University, currently residing in Bhubaneswar, Odisha. I have a strong foundation in data science, machine learning, and statistical analysis. My passion lies in transforming raw data into actionable insights and building intelligent systems that address real-world challenges. I am skilled in developing end-to-end data pipelines, creating predictive models, and deploying scalable AI solutions.

Skills

Languages:

  • C
  • Java
  • Python
  • HTML5
  • CSS3
  • JavaScript

Web Development:

  • Next.js
  • React

Data Science & Machine Learning:

  • TensorFlow
  • Keras
  • NumPy
  • Pandas
  • Matplotlib
  • Regression, Classification, Clustering, Decision Trees

Data Visualization:

  • Matplotlib
  • Seaborn
  • Tableau

Cloud Platforms:

  • Google Cloud Platform
  • AWS

Databases:

  • SQLite

Development Tools:

  • Git
  • GitHub
  • VSCode
  • Flask

Other Skills:

  • Kali Linux
  • Ethical Hacking

Languages Spoken:

  • English
  • Hindi
  • Bengali

Projects

Here are some of my notable projects:

BookScraper-ML

Description: A Python-based web scraping project that extracts book data from "Books to Scrape," stores it in a database, and uses pretrained NLP models for summarization, classification, and sentiment analysis.

Technologies: Python, BeautifulSoup, NLP

Repository: BookScraper-ML

COVID-19 Data Analysis

Description: An analysis of COVID-19 data to track the spread and impact of the virus using data visualization techniques.

Technologies: Python, Pandas, Matplotlib

Repository: COVID-19 Data Analysis

Connect with Me

Let's connect on social media:

LinkedIn Twitter Instagram

GitHub Stats

Deep's GitHub Stats

Extra-Curricular Activities

  • Member of the drafting committee, NSS KIIT.

Pinned Loading

  1. AI-Football-Analysis Public

    This repository demonstrates an AI/ML pipeline for analyzing football matches using YOLO, OpenCV, and Python. It detects and tracks players, referees, and the ball, assigns players to teams by colo…

    Python 1

  2. CatsDogsClassifier Public

    This repository contains a full-stack machine learning project that classifies images as either cats or dogs. It uses both traditional ML (SVM, Random Forest, Logistic Regression, K-means) and a tr…

    Jupyter Notebook