Driven Data Analyst Intern with background in identifying data discrepancies and developing solutions. Possess strong analytical skills, knowledge of statistical software and ability to interpret complex datasets. Have successfully organized and cleaned data sets for optimized use, demonstrating keen understanding of diverse data analysis methodologies. Made significant impact by providing insightful, actionable reports based on thorough research and examination of organizational data trends.
Tableau Superstore Dataset Visualization
Designed interactive Tableau dashboards to analyze key performance metrics from the Superstore dataset.
Conducted business process analysis, visualizing regional performance and identifying growth opportunities
Calculated and presented KPIs such as Total Sales, Total Profit, and Total Units to support data-driven decision-making in financial context and report preparation.
Financial Transactions Fraud Detection
Designed a PostgreSQL database to store transaction history and customer data.
Used Python (pandas, NumPy, seaborn) to identify unusual spending patterns. Implemented SQL queries to detect anomalies based on transaction frequency and amount.
Built a Power BI dashboard to visualize high-risk transactions and fraud trends.