Technical Skills

Data Analysis & Visualization: Advanced proficiency in Power BI, Tableau, Excel (VBA, Power Query) and Google Looker Studio for creating interactive dashboards and actionable reports.
Programming: Skilled in Python (Pandas, NumPy), R, and SQL for data cleaning, analysis, and predictive modeling.
Database Management: Expertise in SQL for data extraction, querying, manipulation, and optimization; experienced with relational databases including MySQL, PostgreSQL, and SQL Server.
Automation: Proficient in designing automated workflows for data reporting and analysis using Excel VBA.
Statistical Analysis: Expertise in statistical modeling, including regression analysis, time-series forecasting, and hypothesis testing to support analytical insights.
ETL (Extract, Transform, Load): Skilled in optimizing ETL workflows for efficient data processing and integration.
Machine Learning: Experienced in applying regression, classification, and clustering techniques to develop predictive models.
Data Storytelling: Strong ability to communicate insights through dashboard visualizations and presentations for both technical and non-technical audiences.
Version Control: Proficient in using Git for version control and collaborative development.