Anusha Hyderaboeni
Data Analyst @BNY
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WORK HISTORY
Data Analyst @BNY
TX, US
Extract, cleanse, and reconcile large-scale financial and transactional datasets from internal banking systems and market data sources to ensure accuracy and compliance with enterprise data governance policies.•Design and deploy interactive Power BI and Tableau dashboards to visualize portfolio performance, liquidity trends, and operational efficiency metrics for senior finance and risk executives.•Conduct exploratory data analysis (EDA) using Python, R, and SQL to identify outliers, detect risk exposures, and deliver insights that inform investment performance and asset management strategies.•Develop and fine-tune SQL queries, views, and stored procedures to automate financial data retrieval and enhance accessibility for analytics, audit, and reporting functions.•Utilized advanced Excel functions and Power Query to automate KPI tracking, reconcile large datasets, and build financial performance dashboards, reducing manual reporting effort by 25%.•Collaborate with Finance, Treasury, Risk, and Compliance teams to define data requirements, streamline workflows, and maintain integrity across multi-source financial datasets.•Build and automate ETL pipelines using Python scripts and workflow orchestration tools to integrate trading, cash flow, and market data, reducing manual reporting effort and improving processing efficiency.•Ensure compliance with Basel SOX, and internal audit standards by maintaining detailed documentation, validating data lineage, and supporting regulatory reporting initiatives.•Partner with senior stakeholders to translate business and risk objectives into scalable data models, KPI frameworks, and analytical solutions that drive data-backed strategic decisions.
EDUCATION
University of North Texas
Masters, Computer Science
MVSR Engineering College
Bachelor of Engineering - BE, Information Technology
ABOUT ANUSHA HYDERABOENI
I am a results-driven Data Analyst with 3+ years of experience transforming complex data into actionable business insights. Skilled in SQL, Python, Power BI, Tableau, and Excel, I specialize in building scalable data models, automating reporting workflows, and delivering impactful visualizations that support strategic decision-making.My experience spans across financial services, technology, and consulting, where I’ve collaborated with cross-functional teams to streamline data pipelines, enhance data governance, and ensure regulatory compliance (Basel SOX, GDPR, HIPAA). I’m passionate about leveraging data engineering and machine learning tools-including AWS Glue, Snowflake, and TensorFlow-to drive efficiency and uncover insights that accelerate business outcomes.At organizations like Bank of New York Mellon, Dell Technologies, and KPMG, I’ve led initiatives that reduced manual reporting time by 25-45%, improved data quality, and empowered stakeholders with real-time dashboards and predictive analytics.I thrive at the intersection of analytics, technology, and business translating data into meaningful stories that fuel smarter, faster decisions.Core Skills: SQL | Python | Power BI | Tableau | AWS | Data Modeling | ETL | Machine Learning | Data Governance | Dashboard Automation
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