Analytical and detail-oriented MBA student with 3.3 years of experience in sales and data-driven decision-making. Skilled in Python, SQL, Excel, Power BI, and Tableau for data analysis, reporting, and visualization. Experienced in preparing dashboards, analyzing trends, and delivering insights for business growth. Strong knowledge of data cleaning, ETL processes, and database management. Seeking to leverage analytical and technical skills as a Data Analyst.
Languages: Python, SQL
Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Scipy
Visualization Tools: Power BI, Excel
Others: MySQL, Git
KYC/AML Skills: Customer Due Diligence (CDD), Enhanced Due Diligence (EDD), Transaction Monitoring, Risk Assessment, Regulatory Compliance (AML/KYC Guidelines), Suspicious Activity Reporting (SAR), Data Verification, Documentation Review