Sathvika Anugu

About Sathvika Anugu

I’m a Data Analyst with over 4 years of experience turning complex data into simple, actionable insights that drive business growth and smarter decisions. My work has spanned financial, marketing, and operational analytics — from automating risk reporting at BlackRock to improving customer retention and campaign ROI for a global retail client at Hexaware Technologies.I specialize in working with large-scale data — cleaning, transforming, and modeling millions of records using Python (Pandas, NumPy, Scikit-learn) and SQL across relational databases like MySQL, PostgreSQL, Oracle, and SQL Server. I’ve built ETL pipelines and data workflows using tools like Azure Data Factory, AWS Glue, and Informatica to ensure data accuracy, timeliness, and scalability across reporting systems. My focus has always been on making data reliable enough that teams can make confident decisions without second-guessing its quality.I’m also passionate about AI and automation. At BlackRock, I leveraged machine learning and statistical modeling to forecast trends and predict customer churn, improving prediction accuracy by 15–20%. I’ve integrated OpenAI and Generative AI tools into analytics workflows to automate data quality checks, categorize text data, and summarize reporting insights — reducing manual effort by almost 35%.On the visualization side, I’m experienced in Power BI, Tableau, and Excel, where I’ve designed dashboards that communicate insights clearly to non-technical stakeholders. My dashboards have helped leadership teams reduce decision-making time by up to 40% and improve operational performance tracking.In addition to the technical side, I take pride in collaboration. Whether it’s working with finance teams on risk controls or marketing leads on campaign strategy, I focus on understanding the problem first and then finding data-driven ways to solve it. I’ve worked in both Agile and traditional project environments, delivering solutions that are not only accurate but also practical and aligned with business goals.Across my projects, my impact has been consistent: improving data accuracy by over 60%, reducing processing time by 40%, and helping teams transform raw data into insights they can trust. I’m passionate about continuous learning, AI innovation, and building the bridge between data, strategy, and decision-making.I believe good data doesn’t just tell a story — it changes the direction of it. My goal is to keep blending analytics, AI, and intuition to help organizations make smarter, faster, and more human decisions.

Experience

1. Data Analyst

   BlackRock

   Jan 2024 — Present · US

   Implemented Agile methodology to oversee project life cycles, focusing on the design, development, and optimization of reports, ensuring timely and accurate data delivery. Performed data cleaning and preprocessing on datasets exceeding 10 million records using Python, SAS, leveraging R for statistical modeling and hypothesis testing reducing data errors by 30% and enhancing data quality for more precise analysis. Established progressive data visualizations using Tableau, decreasing decision-making time by 40% and providing actionable insights for stakeholders. Leveraged NumPy and Pandas to structure, clean, and transform datasets, reducing data inconsistencies by 25% and improving analytical accuracy.Built and deployed machine learning models (regression, classification) using Scikit-learn to predict market trends and customer churn, resulting in a 15% increase in forecasting accuracy.Applied feature engineering and selection techniques to improve ML model performance, achieving up to 20% improvement in model precision and recall.Collaborated with cross-functional teams to migrate data solutions to Azure, and reducing infrastructure costs by 15%.Executed comprehensive data cleansing and transformation in MySQL, achieving a 60% reduction in data errors and improving reporting accuracy.Conducted A/B testing and model validation to support business strategies with data-driven insights.

Education

• Jawaharlal Nehru Technological University Hyderabad (JNTUH)

  Bachelor of Technology

  2018 — 2022

• University of Maryland Baltimore County

  Master

  2022 — 2024