Skip to content
View Priyesh-DS-Code's full-sized avatar

Block or report Priyesh-DS-Code

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Priyesh-DS-Code/README.md

Hi, I'm Priyesh Kumar Kashyap

Machine Learning & Data Science Enthusiast focused on building end-to-end machine learning solutions and deploying production-ready applications.

About Me

  • B.Tech Computer Science Student
  • Passionate about Machine Learning and Data Science
  • Exploring MLOps, and Deep Learning
  • Interested in solving real-world problems
  • Continuously learning and building scalable ML applications

Technical Skills

Programming

Python

Data Science & Machine Learning

Pandas • NumPy • Scikit-Learn • Matplotlib

Deployment & Cloud

Streamlit • Flask • Docker • AWS

Tools

Git • GitHub • Jupyter Notebook

Current Focus

  • MLOps
  • Production-Ready ML Systems
  • Deep Learning

Connect With Me


"Turning data into intelligent solutions through Machine Learning and Data Science."

Pinned Loading

  1. EduScore EduScore Public

    Production-ready student score prediction system with machine learning, Docker, AWS ECS, and GitHub Actions.

    Jupyter Notebook

  2. LoanSense LoanSense Public

    Credit risk prediction using machine learning, ensemble modeling, Optuna optimization, SHAP explainability, fairness analysis, and interactive deployment.

    Jupyter Notebook

  3. ChurnGuard ChurnGuard Public

    Predictive analytics system for customer churn modeling, threshold tuning, feature explainability, and risk segmentation.

    Jupyter Notebook 1

  4. Customer360 Customer360 Public

    Unsupervised ML project to profile retail customers by income and spending behaviour using K-Means and Hierarchical Clustering

    Jupyter Notebook

  5. Credit-Card-Fraud-Detection Credit-Card-Fraud-Detection Public

    Jupyter Notebook 1

  6. Book-Recommendation-using-clustering-algorithm Book-Recommendation-using-clustering-algorithm Public

    Jupyter Notebook 1