Skills
Programming & Data Analysis: Python, R, SQL, SAS, Alteryx, SPSS.
Visualization: ggplot, Tableau, SAS Visual Analytics, Power BI, R-Shiny.
Analytical Techniques: Predictive Modeling, Optimization, Root Cause Analysis, Statistical Analysis, Financial & Operational Impact Analysis.
Tools: Business Intelligence Tools, AWS-Redshift, AWC-EC2, MS-Azure.
Management: Higher Education, Healthcare, Operations Research, GitHub collaborative dev. Practices, Project Mgt, Agile SCRUM.
About
Highly analytical and results-oriented Data Scientist with comprehensive knowledge of business processes, systems, data, and analytical tools, specializing in higher education data modeling, healthcare, and supply logistics for over 12 years. Proven ability to apply Data Science and Operations Research techniques to complex logistics and supply chain management problems. Provided forecasting results, built optimization plans, and communicated actionable insights to cross-functional teams. Adept at collaborating with stakeholders to scope project requirements and deliver actionable insights
Profile Photo
