Welcome to my GitHub profile! I’m Surendra Kumawat, a passionate Data Analyst and Python Developer with a strong background in data science, SQL, and data visualization. I am currently pursuing my Master’s in Computer Applications and working on projects in Python, SQL, Power BI, and Excel, along with a live Fake News Detection project.
- Programming: Python (85% completed), SQL (80% completed), R, Java
- Data Visualization: Power BI (50% completed), Tableau, Matplotlib, Seaborn
- Data Analysis Tools: Microsoft Excel, Power Query
- Web & Database: HTML, CSS, MySQL, SQLite
- Other: Linux (Ubuntu), CORE-GUI, Docker, Git
- HackerRank: Gold Medal (Benz) in Python
- 90-Day Data Analyst Journey: Ongoing self-improvement program, currently on Day 46
- Projects: Multiple projects on data analysis, SQL, Python, and machine learning
- Freelance Experience: Providing data analytics services on Fiverr
- Used Python libraries (Pandas, Matplotlib, Seaborn) to analyze Uber ride data
- Focused on trends in peak hours, geographical distribution, and user behavior
- Project Repository
- Building a model to classify news articles as real or fake
- Employs natural language processing and machine learning techniques
- Created a SQL-based data pipeline and Power BI dashboard for visualizing sales trends
- Actively contributing to my GitHub repositories by sharing projects, code snippets, and datasets
- Focused on achieving 100% GitHub contribution activity through consistent updates and project improvements
- LinkedIn: Surendra Kumawat
- Instagram: @surendra089 (Programming content)
Thank you for visiting my profile! I’m always open to new projects, collaborations, or simply connecting with like-minded professionals in data science and analytics. Feel free to reach out!