Music Store Data Analysis using R and Power BI
Summary
Developed a comprehensive data analysis project for a music store, leveraging SQL, R, and Power BI to extract insights and inform business strategies.
An aspiring Data Analyst with a strong academic foundation in Computer Science and Data Science, combining expertise in SQL, Python, R, and Power BI with a passion for extracting actionable insights. Proven ability to transform complex datasets into clear, impactful visualizations and solve real-world problems through data-driven decision-making, as demonstrated in diverse analytical projects.
Organizing Committee Member
Summary
Contributed to global social entrepreneurship by coordinating the Hult Prize on-campus program, overseeing event logistics and participant engagement.
Highlights
Coordinated and executed all logistical aspects for the annual Hult Prize on-campus program, ensuring seamless operations for participants and judges.
Managed participant engagement and communication for a campus-wide social entrepreneurship program.
Ensured the smooth execution of multiple events, maintaining high organizational standards and supporting a positive experience for all stakeholders.
Bachelor's
Computer Science and Engineering (Data Science)
Grade: CGPA: 8.9
Courses
Data Mining
Data Curation
SQL
Python Programming
Data Visualization
Machine Learning (Basic)
High School
Science
Grade: ICSE: 95.2%, ISC: 92%
Awarded By
LeetCode
Achieved an Intermediate level rating of 1440+ on LeetCode, demonstrating strong competitive programming and problem-solving abilities.
Python, Pandas, NumPy, Matplotlib, Seaborn, R, SQL.
Data Mining, Data Curation, Data Cleaning, ETL.
Matplotlib, Seaborn, Power BI, Dashboarding.
Scikit-learn, Regression, Classification, Predictive Modeling.
Excel, Git, GitHub, Jupyter Notebook.
Summary
Developed a comprehensive data analysis project for a music store, leveraging SQL, R, and Power BI to extract insights and inform business strategies.
Summary
Engineered an image classification system using deep learning techniques to accurately identify various sports personalities from image data.
Summary
Executed a sentiment analysis project on social media data using R, focusing on understanding public opinion and trends through text mining and visualization.