Data Analyst II with three years of experience in business operations and a Master's Degree in Business Analytics. Proven expertise in transforming complex data into actionable insights that enhance decision-making and business performance. Skilled in developing interactive dashboards, crafting intricate SQL queries, and leveraging Python for data automation. Adept at identifying trends and optimizing processes to drive efficiency and growth.
Programming Languages: Python (Pandas, NumPy), SQL
Statistical & Analysis Tools: R, SAS
Data Visualization: Tableau, Power BI
Databases: MySQL, PostgresSQL, Oracle
Data Processing: Airflow, Spark
Productivity Tools: Excel (Pivot Tables, VLOOKUP), MS Office Suite