Amareshwari Gatla
+1-804-***-**** ***********.*****@*****.***
www.linkedin.com/in/amareshwari-gatla-99123a209/
Skills
Data Platforms & Tools: SQL (Joins, Subqueries, CTEs, Indexing, Optimization), Oracle Cloud Computing, SQL Server, ETL & Data Pipelines (Alteryx, Python-based ETL, API Integrations) Programming for Analytics: Python: pandas, NumPy, matplotlib, seaborn, Scikit-learn, R (Statistical Modeling, Data Wrangling)
Visualization & Reporting: Tableau, Power BI (DAX calculations), Advanced Excel (VBA, Macros) Business Analytics & Techniques: Statistical Analysis, CRM (Salesforce), Trello, SAS Predictive Modeling Healthcare Analytics: Enterprise Risk Management (ERM) Languages: Telugu (Fluent), Hindi (Fluent), French (Intermediate) Other Industry Experience: Pharmaceutical, Dental
Education
University of Texas at Dallas
Master of Business Analytics & AI, Accounting Analytics May 2026 Related Coursework: Auditing, Financial Accounting I & II, Predictive Analytics, Business Analytics with R, Advanced Statistics, Business Foundations
Virginia Commonwealth University
Bachelor of Science, Business Administration, Management (GPA: 3.82) Dec 2022 Work Experience
Actfore/Activenav (Reston, VA) – Robert Half Data Analyst (Jan 2024 - Aug 2024)
• Identified patterns in datasets exceeding 10M records, mitigating potential data breaches and reducing risk by 30% using Power BI.
• Enhanced data accuracy by streamlining extraction processes using SQL subqueries and window functions, improving efficiency by 15%.
• Partnered with engineering and legal teams design data strategies compliant with GDPR and ISO 27001 standards.
• Developed predictive models using Python and Power BI to refine analysis methodologies, enhancing scalability and accuracy by 20%.
Nine Realty LLC (Dulles, VA) – Data Analyst Intern (Dec 2022 - May 2023)
• Delivered actionable insights by analyzing real estate trends using Tableau and Python, streamlining decision-making processes by 25%.
• Conducted property valuation using SQL-driven analysis and predictive models, improving financial modeling accuracy by 20%.
• Provided strategic recommendations by leveraging complex SQL queries (e.g., CTEs, joins) on sales and demographic data.
• Built expertise in real estate analytics by participating in 5+ workshops on market trends and data governance. Incept Data Solutions (Sterling, VA) – Business Analyst Intern (Sep 2022 - Nov 2022)
• Analyzed financial data trends using Excel pivot tables and Tableau dashboards, delivering insights that accelerated decision-making by 20%.
• Designed UML class and sequence diagrams using Lucidchart, expediting project initiation timelines by 30%.
• Implemented data governance workflows using Collibra, ensuring compliance with organizational standards and improving data accessibility.
Projects
Financial Report Analysis for Investment Decision (University of Texas at Dallas, Aug 2024 - Dec 2024)
• Analyzed income statements and balance sheets using Excel and Python to evaluate firm performance and risk profiles for investment decisions.
• Conducted ratio analyses (P/E, ROE, Debt/Equity) using Python, identifying two high-growth sectors for targeted investment strategies.
• Built dynamic financial models in Python, leveraging Monte Carlo simulations to project earnings with a 95% confidence level.
• Co-authored a 30-page research report recognized by faculty for its clarity and actionable insights, supporting strategic investment decisions.
• Presented findings to a panel of 10 professors and peers, earning top project recognition for actionable insights and presentation clarity.