Data Scientist
Current- Responsible for Interpreting data to evaluate trends and develop automated reports, support executive decision-making- Developed and maintained dashboards in Tableau and Power BI for real-time data visualization, reducing manual reporting efforts by 55%.- Performing ETL processes on client data sources and applying SQL queries to identify trends and obtain insights into operational and procedural improvement.- Collaborating with a cross-functional team of senior data scientists and analysts in working on a variety of complex and challenging problems- Automated data extraction and transformation processes using SQL and Python scripts, reducing data processing time by 40%- Implemented Python scripts to automate data cleaning and streamline analysis, saving the team time.- Use data analysis to forecast revenue trends based on current occupancy rates, service usage, and client demographics, allowing for better financial planning.