Bhavya Shah
Data Analyst & BI Analyst | SQL · Power BI · Tableau · Python | Financial Modeling & Forecasting | Fintech · Tech · Consulting | MS Information Systems, Syracuse
- Role
- Data Analyst at Loudoun Hospitality Management
- Location
- Washington, DC, US
- LinkedIn followers
- 500 followers
About Bhavya Shah
Data analyst with 3+ years turning messy datasets into decisions that move the business. I work across the full analytical stack, Power BI, Tableau, SQL and Excel, and I\'m most effective when the problem sits at the intersection of finance, operations, and data.My recent work spans financial forecasting, cost modeling, and executive dashboards for a multi-asset hospitality portfolio, where my models improved forecast accuracy by 20% and analysis I delivered drove a 12% improvement in operating margin. Before that, I built reporting infrastructure and SQL-driven analytics at Syracuse University and delivered recurring financial and BI reporting for 6+ consulting clients at iConsult.I\'m drawn to fast-moving environments, fintech, tech, and consulting. where data infrastructure is still being built and good analysis has an outsized impact. I\'m equally comfortable building a revenue model from scratch, writing a complex SQL query, or presenting findings to a non-technical executive.Core toolkit: Power BI & Tableau (dashboard design, DAX) · Excel & financial modeling · Snowflake · Data storytelling · SQL (complex queries, CTEs, window functions)MS in Information Systems, Syracuse University. Open to Data Analyst, BI Analyst, and Financial Analyst roles in NYC metro & NOVA DMV — full-time or contract.
Experience
Data Analyst
Loudoun Hospitality Management
Apr 2025 — Present · Ashburn, VA, US
Lead financial modeling and scenario analysis across 5+ strategic initiatives, building revenue, expense, and cash-flow models that improved forecast accuracy by 20% and directly inform capital allocation decisions.• Designed and maintain executive Power BI and Tableau dashboards monitoring 10+ KPIs across the portfolio, cutting manual reporting time by 40%.• Analyzed portfolio performance against market benchmarks using SQL and Excel; data-backed recommendations drove a 12% improvement in operating margin.• Standardized reporting processes, documenting assumptions, data sources, and methodologies, improving model adoption, audit readiness, and stakeholder alignment.• Conduct ROI assessments and cost modeling for short- and long-term investment scenarios, translating analytical output into clear executive recommendations.
Education
Syracuse University School of Information Studies
Master of Science - MS, Information systems
University of Mumbai
Bachelor of Engineering - BE, Computer Engineering
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