
Bachelor's of computer Application (BCA) graduate and aspiring Data Analyst with hands-on experience in data cleaning, data analysis, and visualization through academic projects and internships. Proficient in Python, SQL, Excel, and Power BI/Tableau, with strong knowledge of EDA, data preprocessing, and statistical analysis. Ability to transform raw data into actionable insights and support data-driven decision making.
Gained hands-on exposure to data analysis, machine learning, and data science concepts through academic coursework, internships, and project-based learning. Experienced in applying Python, SQL, and data visualization techniques to solve real-world problems.
Proficient in Python and SQL for data analysis and querying Experienced in data cleaning, data preprocessing, and exploratory data analysis (EDA) Skilled in using Pandas, NumPy, and Scikit-learn for data manipulation and basic machine learning tasks Familiar with data visualization and business intelligence tools including Microsoft Excel, Power BI/Tableau, and Matplotlib Working knowledge of MySQL, Jupyter Notebook, and GitHub
Aspiring Data Analyst with hands-on experience in data analysis, machine learning, and statistical modeling. Completed a Song Recommendation System project during a CETPA internship (2nd year), utilizing data preprocessing, exploratory data analysis, and recommendation algorithms. Developed a Plant Leaf Disease Detection system during a CDAC Patna internship (3rd year), applying data visualization, feature extraction, and predictive modeling techniques. Proficient in deriving actionable insights from data to support data-driven decision-making.