
Highly motivated and detail-oriented aspiring Data Analyst with a strong foundation in statistics, data visualization, and analytical tools. Proficient in Excel, SQL, Python (Pandas, NumPy, Matplotlib), and data visualization platforms like Power Bl. Skilled at cleaning, analyzing, and interpreting data to support decision-making and drive business insights. Possess hands-on experience through academic projects and personal data analysis work. Eager to contribute analytical thinking and technical skills to support organizational goals and solve real-world problems.
Prediction of stock market price by Machine Learning 2023 – 2024, Created dynamic dashboards in Power BI, enhancing interpretability for audit and analytical purposes., Evaluated model performance using MAE, MSE, cross-validation, outperforming traditional models., Presented findings to an academic panel, demonstrating strong communication and analytical skills, earning merit for innovation and clarity.
Built an HR analytics dashboard in Power BI to analyse employee attrition and workforce trends, using DAX for KPI creation and Power Query for data transformation.