Professional data scientist with strong background in statistical analysis, data analysis and data visualization. Skilled in Python, SQL, Tableau and various data processing tools, with focus on delivering actionable insights.
Drive revenue optimization through data analysis, pricing adjustment, demand forecasting, and performance monitoring. Develop Python, SQL, and Tableau-powered applications to monitor business performance
Worked with leadership team to keep track of performance indicators. Used Hypothesis testing to monitor the success of projects. Became the analytics expert and POC for a specific part of Market Management (Regional Chains).
Built Tableau reports to support account managers day-to-day. Pulled data for Ad Hoc requests to support leaders on decision making.
Inferential Statistical Analysis with Python