I am a B.Tech student specializing in Artificial Intelligence and Machine Learning, with a strong interest in Data Analytics.
I enjoy working with data, finding meaningful insights, and building practical projects using Python, SQL, Excel, and data visualization tools.
- Programming: Python, C
- Data Analysis: NumPy, Pandas
- Data Visualization: Matplotlib, Seaborn
- Database: SQL
- Spreadsheet & BI: Excel, Power BI
- Statistics: Statistics for Data Analysis
- Currently Learning: DSA, Power BI, Machine Learning
Data analysis project using Python, NumPy, Pandas, Matplotlib, and Seaborn to analyze student performance and generate insights.
Analyzed employee salary data using Python and data analysis libraries to explore salary patterns and trends.
Analyzed IPL match data to explore team performance, player statistics, and match-related insights.
SQL-based data analysis project using joins, subqueries, CTEs, window functions, aggregations, and other SQL concepts to analyze customers, artists, genres, and purchases.
An Excel-based data analysis and dashboard project covering sales KPIs, monthly performance, regional analysis, category analysis, and business insights.
My goal is to build a career in Data Analytics and develop strong skills in data analysis, visualization, SQL, and business intelligence.
- Data Structures & Algorithms
- Power BI
- Advanced SQL
- Machine Learning
- LinkedIn: [Add your LinkedIn profile here]
- GitHub: Yashdagupta
β Feel free to explore my repositories and projects!