Skip to content
View randeepraj2003's full-sized avatar

Block or report randeepraj2003

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 supported. This note will be visible to only you.
Report abuse

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

Report abuse
randeepraj2003/README.md

Randeep Raj K

Data Science | Machine Learning | Artificial Intelligence

Transforming data into intelligent, real-world solutions

About Me

Data Science Illustration

  • Data Science and Artificial Intelligence enthusiast with a strong academic background in Computer Science Engineering (Data Science specialization) and hands-on experience in machine learning, deep learning, and applied analytics.
  • Experienced in building data-driven models that transform raw data into meaningful insights and intelligent solutions.
  • Worked across predictive analytics, natural language processing, computer vision, and federated learning, with a focus on scalability, performance, and real-world applicability.
  • Completed multiple industry-aligned projects and internships, applying Python, SQL, and modern machine learning frameworks to solve business and healthcare problems.
  • Strong interest in AI-powered decision systems, model optimization, and end-to-end ML workflows, including data preprocessing, feature engineering, model evaluation, and deployment.
  • Driven by a problem-solving mindset and a collaborative approach, with a continuous focus on learning and contributing to high-impact data science initiatives.

Languages

Tools

Libraries & Frameworks

Visualization & Analytics

Connect With Me

Focused on continuous learning and building impactful AI systems.

Pinned Loading

  1. Data-Science-Projects Data-Science-Projects Public

    This repository contains a variety of Data Science projects developed for learning and practical applications. It includes end-to-end workflows such as data preprocessing, EDA, visualization, machi…

    Jupyter Notebook 1

  2. Recommendation-System-ML Recommendation-System-ML Public

    End-to-end recommendation system project using machine learning techniques, including data preprocessing, exploratory data analysis, model building, and evaluation for personalized recommendations.

    Jupyter Notebook 1

  3. CardioFed-Network CardioFed-Network Public

    Federated machine learning approach for heart disease prediction with privacy-preserving data collaboration.

    Python 1