Data Analyst | Skilled in SQL, Python, and Data Visualization (Power BI, Seaborn)
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Data Analyst with strong proficiency in SQL and Excel, blended with data science expertise and foundational web development skills (HTML/CSS/JS). Hands-on experience building machine learning models with Scikit-learn and creating dynamic visualizations using Power BI and Seaborn. A collaborative problem-solver who thrives on turning complex datasets into clear, strategic business solutions.
Although I don't have any professional work experience, as a motivated Data Analyst fresher, I have gained hands-on experience through building a comprehensive portfolio of data projects. I am proficient in writing SQL queries to extract and aggregate data, and I use Python (Pandas and NumPy) within Jupyter Notebook and VS Code to clean and analyze datasets. Additionally, I build interactive business dashboards in Power BI and create data visualizations using Seaborn and Matplotlib.
I manage all of my code, scripts, and project documentation using Git and GitHub, and I am fully prepared to apply these technical skills to an entry-level role.
B.E. Computer Engineering
CGPA: 6.74
