Sai Chitra Bhanu Maddipoti
Professional Summary
Senior Data Analyst with 8+ years of experience transforming complex datasets into actionable insights that improve operations, efficiency, and strategic decision-making. Bridges business needs and technical solutions—gathering requirements from senior stakeholders, creating business documentation, and standardizing processes across departments. Skilled in data visualization, forecasting, statistical analysis, and predictive modeling using SQL, Python, Tableau, Qlik, Alteryx, Scikit-learn, and TensorFlow. CJIS Security Awareness Training & Clearance. Experienced in API data extraction, advanced classification, and fuzzy matching. Proficient with big data technologies (Hadoop, Spark, Kafka) and cloud platforms (AWS, Azure, GCP, Snowflake); strong track record building interactive dashboards, ML models, and optimized ETL pipelines for scalable analytics.
Skills
Technical Skills: Python, SQL, R, JavaScript, Tableau, Power BI, Looker, QlikView, Excel (Advanced), SAS, SPSS, Alteryx, Informatica, Talend, Apache NiFi, Hadoop, Spark, Kafka, Snowflake, Apache Hive, MySQL, PostgreSQL, Oracle, Teradata, Amazon Redshift, GCP (BigQuery), Microsoft Azure (Azure Data Lake), AWS (S3, Redshift, Lambda), Scikit-learn, TensorFlow, Keras, PyTorch, Pandas, NumPy, Matplotlib, Statsmodels, VBA, Power Automate, Bash, Git, GitHub, JIRA, Confluence, Google Data Studio, Zoho Analytics, NLTK, spaCy, Apache Airflow, Luigi, OpenRefine, Trifacta.
Data Management: Data Warehousing, ETL Pipelines, Data Wrangling, Data Visualization, Real-time Data Streaming, API Integrations, Data Cleaning, Reporting Automation.
Methodologies: Agile, Scrum, Lean Six Sigma, Financial Modeling, Predictive Analytics, Forecasting, Time Series, Bayesian Analysis, Econometrics, HIPAA Compliance.
Professional Experience
Senior Data Analyst |
Florida Department of Business and Professional Regulation |
Tallahassee, FL | Mar 2024 – Jun 2025
- Designed predictive models using Scikit-learn and TensorFlow to forecast patient admission rates and optimize resource allocation.
- Developed interactive dashboards in Power BI and Tableau, providing real-time insights into hospital KPIs.
- Automated ETL pipelines using Alteryx and Python, and integrated data across EHR systems and APIs using Snowflake and Azure Data Lake.
- Utilized Apache Kafka for real-time patient monitoring systems and collaborated across departments for data-driven decision-making.
Senior Data Analyst | Advent Health | Deland, FL | Mar 2024 – Jun 2025
- Designed predictive models using Scikit-learn and TensorFlow to forecast patient admission rates and optimize resource allocation.
- Developed interactive dashboards in Power BI and Tableau, providing real-time insights into hospital KPIs.
- Automated ETL pipelines using Alteryx and Python, and integrated data across EHR systems and APIs using Snowflake and Azure Data Lake.
- Utilized Apache Kafka for real-time patient monitoring systems and collaborated across departments for data-driven decision-making.
Senior Data Analyst | FIS Global | Jacksonville, FL | Aug 2021 – Jul 2022
- Analyzed financial data to assess risks, optimize investments, and enhance reporting accuracy using SQL and Python.
- Built dashboards in Power BI/Tableau and implemented ML models to predict market trends and credit risk.
- Automated ETL workflows using Alteryx, Informatica, and SSIS; processed large datasets using Spark, Hive, and AWS Redshift.
Data Analyst | Warner Music Group | Bengaluru, India | Nov 2019 – Jul 2021
- Conducted sales and streaming data analysis to optimize marketing strategies for artists and forecast revenue trends.
- Built data pipelines using Airflow, AWS Lambda, and Spark to process data from Spotify and Apple Music APIs.
- Deployed ML models for trend prediction and curated personalized music recommendations.
Data Analyst | Erie Insurance | Bangalore, India | Jun 2016 – Oct 2019
- Created dashboards in Tableau, Power BI, and Excel to support strategic decisions across insurance operations.
- Designed ETL processes with Apache NiFi and Talend, used Pandas/NumPy for statistical modeling and cleaning.
- Processed large-scale insurance data with Spark and Hive, and deployed models using Scikit-learn and TensorFlow.