Pratima Prasad
@pratimaprasad
Seasoned data and business analyst who turns data into strategic action.
What I'm looking for
I am a seasoned data and business analyst who bridges people and data to deliver measurable results through analysis, visualization and storytelling. I specialize in Power BI (PL-300 certified), SQL, Python and Excel to translate complex datasets into clear, actionable insights that improve performance and inform strategic decisions.
My experience spans enterprise BI, dashboard migrations, predictive modeling and stakeholder collaboration across public and private sectors. I have led reporting automation, built KPI frameworks, and trained users to adopt analytics—consistently reducing turnaround times and increasing decision-making speed and trust among partners.
Experience
Work history, roles, and key accomplishments
Research Data Analyst
Integrated Travel
Jul 2025 - Present (7 months)
Designed data-driven feasibility models forecasting passenger demand and assessed service gaps using multi-source tourism, labor, and transit datasets; created interactive Power BI and GIS dashboards to inform multimodal corridor planning and investment prioritization.
Analyzed large enterprise datasets to extract trends for revenue optimization and operational performance; built predictive models and executive-ready BI dashboards to automate reporting and inform leadership decisions.
Streamlined enterprise reporting workflows, cutting turnaround time by 60% across 250+ global clients and developed automated SQL-driven pipelines to improve data validation and reliability for product and engineering stakeholders.
Led migration of 50+ legacy dashboards to modern BI platforms (SAP SAC, Web Intelligence), developed KPI frameworks and data models, and trained 100+ users to improve adoption, traceability, and reporting efficiency.
Education
Degrees, certifications, and relevant coursework
Arizona State University
Master of Science, Computer Science
Master of Science in Computer Science from Arizona State University focused on advanced computing concepts and applied data analysis.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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