Aspiring Data Scientist | Tech Enthusiast
Exploring the intersection of data, technology, and real-world problem solving.
Explore My Projects →I am a data science enthusiast with a strong academic foundation in computer science and a deep interest in applying machine learning to solve impactful problems. My major project focuses on cricket match prediction using ML, which combines my love for cricket with my technical skills. I am passionate about data-driven decision-making and aim to build a career in data science, analytics, and AI-driven applications.
When I'm not coding, you can find me playing and watching cricket, exploring new AI/ML projects, reading about emerging technologies, and honing my problem-solving skills.
Programming Languages
Python, Java, SQL
Data Science & ML
Pandas, NumPy, Scikit-learn, Regression Models, Decision Trees, ANN
Web Technologies
HTML, CSS, JavaScript, JSP, Servlets, JDBC
Tools & Platforms
Jupyter Notebook, GitHub, MySQL, Excel
Other Skills
Data Analysis, Visualization (Matplotlib, Seaborn), Cloud Fundamentals
A machine learning-based system that predicts cricket match outcomes using historical player and match-level datasets. The project integrates batting, bowling, partnership, and venue data to create predictive models.
An AI-powered system designed to assist in early heart disease diagnosis by analyzing patient health parameters using ML classification algorithms. Helps in decision-making for risk prediction.
I'm currently looking for new opportunities and collaborations. Feel free to reach out to me!