"I am a B.Tech student in Computer Science with a strong passion for Data Science. My journey involves continuously learning Machine Learning, performing insightful data analysis, and creating impactful visualizations. I am dedicated to building data-driven solutions and actively seeking collaborations on challenging projects."
Download My CVProficient in Pandas, NumPy, Matplotlib, Seaborn for data manipulation, analysis, and creating insightful visualizations.
Experience with Supervised & Unsupervised Learning, Regression, Classification models, and performance evaluation.
Skilled in statistical analysis, time-series forecasting, and hypothesis testing for data-driven insights.
Data Science Project Contributor
"Actively building and contributing to various Data Science projects focusing on real-world problems. Applied skills in data cleaning, exploratory data analysis, machine learning model development, and data visualization. Continuously learning and implementing new techniques."
Self-Study & Exploratory Data Analysis
"Dedicated time to self-study in Data Science fundamentals, including Python programming, statistical concepts, and early data analysis techniques. Worked on small exploratory data analysis projects to understand data patterns and relationships."
B.Tech Computer Science Information Technology
"Pursuing B.Tech in Computer Science and Information Technology, with a strong foundation in programming, algorithms, and problem-solving. Passionate about technology and continuously exploring new trends in software development and innovation. Dedicated to building a successful career in the tech industry."
High School Degree
"Completed 10th standard with 76% and 12th standard with 74.6%, building a strong academic foundation. Demonstrated consistent performance and a commitment to learning, paving the way for a successful career in technology and innovation."
Predicting future sea levels using historical data with Python and Machine Learning.
GitHub Repo Live Demo
Analyzing and visualizing medical examination data to identify health correlations.
GitHub Repo
Visualizing trends and seasonality in web traffic data using advanced time series analysis.
GitHub Repo