Sreeker Kuragayala

About Sreeker Kuragayala

I am a Data Analyst with over 3 years of experience delivering analytics across finance and product environments. My work sits at the intersection of financial reporting, operational performance, and data-driven decision-making.In my current role at Chartwells (Compass Group), I analyze financial data across multiple systems to support budgeting, forecasting, and month-end reporting. I have built 100+ finance-ready datasets and consolidated revenue, expense, and vendor payment data across 8 source systems to support $45M+ in operating spend. I develop automated reporting workflows and executive dashboards in Power BI and Tableau that enable stakeholders to quickly identify cost variances, margin gaps, and operational trends.Previously at Airbnb, I worked with 120M+ booking and search records to analyze marketplace performance, pricing behavior, and cancellation trends. I built analytics-ready datasets using SQL, Hive, and BigQuery, and supported product and operations teams with segmentation, exploratory analysis, and experiment-driven insights.Technically, I specialize in:• SQL (CTEs, window functions, complex joins)• Python (Pandas, NumPy)• Power BI & Tableau• Advanced Excel (Power Query, pivot tables, XLOOKUP)• ETL workflows and data validation• Financial variance and KPI reportingI’m particularly interested in roles that combine financial modeling, revenue analytics, automation, and AI-assisted analysis. I enjoy transforming messy, multi-source data into structured, reliable insights that drive measurable business impact.Based in Arlington, VA | Open to finance, SaaS, and analytics-focused opportunitiesContact information:Email: s••••••••@outlook.comPhone: 20••••••01

Experience

1. Data Analyst

   Chartwells Higher Education Dining Services

   Sep 2024 — Present · US

   Analyzed financial data, general ledger records, and cost-center reports using SQL, Excel, and Python, producing 110+ finance- ready datasets supporting budgeting, forecasting, and month-end close activities. Consolidated revenue, expense, and vendor payment data from 8 source systems, applying data validation and reconciliation logic to support $45M+ in tracked operating spend across multi-site dining operations. Delivered actionable financial dashboards and variance reports using Tableau and Power BI, enabling 15 finance and operations stakeholders to identify labor cost overruns, food cost leakage, and margin gaps during weekly performance. Automated recurring financial reporting and MIS workflows using SQL procedures, Excel Power Query, and scheduled refreshes, eliminating 55 manual analyst hours per month during reporting cycles. Applied AI-assisted analytics and Python-based anomaly detection to identify unusual cost patterns and flag spend irregularities across $45M+ in operating spend.

Education

• GITAM Deemed University

  Bachelor of Technology - BTech, Computer Science Engineering

• The George Washington University

  Master of Science - MS, Computer Science