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Achievements

Achievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pull Sharkx2Achievement: YOLO

Highlights

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jitesh2511/README.md

Jitesh Krishna

Aspiring Machine Learning Engineer

About Me

I am a mathematics undergraduate with a strong interest in Artificial Intelligence and Machine Learning. I enjoy working with data, building systems, and understanding models from first principles.

My current focus includes:

  • Machine Learning fundamentals
  • Data analysis using Python
  • Building end-to-end, real-world systems

Tech Stack

  • Languages: Python, Java
  • Libraries: NumPy, Pandas, Scikit-learn
  • Core Areas: Machine Learning, Data Analysis, NLP
  • Other: DBMS, HTML, CSS, JavaScript

Featured Projects

FitLater

  • Built a structured EDA system focused on data understanding before machine learning
  • Designed a modular pipeline: Descriptive → Diagnostics → Advisory
  • Detects missing values, skew, outliers, correlation issues, and dataset inconsistencies
  • Generates priority-based preprocessing recommendations with contextual reasoning
  • Developed a custom interactive frontend using HTML, CSS, and JavaScript
  • Integrated a FastAPI backend for dataset processing and structured API responses
  • Implemented column-level analytics, diagnostics dashboards, and report generation
  • Built a fully modular and test-driven architecture with 400+ unit/integration tests
  • GitHub: https://github.com/jitesh2511/FitLater
  • Live Demo: https://fit-later.vercel.app

Churn Prediction System

  • Built an end-to-end machine learning system for predicting customer churn using real-world telecom data
  • Designed a modular architecture with FastAPI backend and Streamlit frontend
  • Implemented a reusable prediction pipeline for consistent inference
  • Optimized model performance with high recall (~90%) for business-focused use cases
  • Deployed both API and UI for real-time predictions
  • GitHub: https://github.com/jitesh2511/Churn-Prediction
  • Live Demo: https://churn-prediction-jitesh2511.streamlit.app

Spam Classifier

  • Built a machine learning model to classify spam and ham messages
  • Implemented Logistic Regression from scratch using gradient descent
  • Applied basic NLP techniques for text preprocessing

Current Focus

  • Strengthening machine learning fundamentals
  • Building high-quality, data-driven projects
  • Evolving FitLater into a full-fledged system

Contact

LinkedIn: https://www.linkedin.com/in/jitesh-krishna-1b4167339
GitHub: https://github.com/jitesh2511
Email: jiteshkrishna6@gmail.com

Focused on building scalable systems and continuously improving through real-world projects.

Pinned Loading

  1. FitLater FitLater Public

    A python tool used to explore data and provide insights on the data. Built for making ML projects easier and faster.

    Python

  2. Churn-Prediction Churn-Prediction Public

    End-to-end machine learning project to predict customer churn using data analysis, preprocessing, and classification models

    Jupyter Notebook

  3. sms-spam-detection sms-spam-detection Public

    Classifies SMS Messages as spam or ham using logistic regression from scratch

    Jupyter Notebook