Data Analyst

Eddula Bhavi Tej Reddy Data Analyst

*****@***********.*** ( 5 6 1 ) 5 4 2 - 6 4 7 2 USA LinkedIn Portfolio Summary

Data Analyst with 4.5 years of experience delivering actionable insights across healthcare, finance, and sales domains. Skilled in SQL, Python, Power BI, Tableau, and Excel, with expertise in data cleaning, statistical analysis, and building interactive dashboards. Proficient in ETL workflows (AWS Glue, Athena, Azure Data Factory) and experienced in time-series analysis, hypothesis testing, and cohort analysis. Adept at collaborating in agile environments to enhance data quality, forecasting accuracy, and business performance. Technical Skills

• Programming & Analytics: Python (NumPy, Pandas), R (basic statistical modeling), SQL (window functions, CTEs, JOIN, GROUP BY), Statsmodels, SciPy, Excel (advanced formulas, pivot tables)

• Data Processing & Integration: AWS Glue, AWS Athena, AWS DataBrew, Azure Data Factory, Azure SQL Database, Data Cleaning & Transformation, Data Warehousing Concepts

• Data Visualization & BI: Power BI (DAX, slicer filters, drill-through, What-If Analysis), Tableau (LOD expressions, dynamic filters, drill- down Dashboard Design & Development

• Statistical & Analytical Techniques: Time-Series Analysis, Cohort Analysis, Hypothesis Testing, Correlation Analysis, Data Validation, Root Cause Analysis

• Methodologies & Tools: Agile, Requirement Gathering, Cross-Functional Collaboration, Documentation & Reporting

• Domain Expertise: Healthcare Analytics (EHR & claims data), Financial Market Analysis, Sales Forecasting & Segmentation, Risk Assessment

Professional Experience

Data Analyst, UnitedHealth Group 03/2024 – Present Remote, USA

• Collaborated with clinical analytics, care coordination, and actuarial teams on Population Health Analytics for Chronic Disease Management, using Agile methodology and structured requirement-gathering sessions to analyze EHR and claims data.

• Built and optimized SQL queries with window functions and CTEs to assess patient utilization, while developing ETL workflows in AWS Glue and Athena for structured EHR and claims data in CSV and Parquet formats.

• Applied Python (NumPy, Pandas) for large-scale data processing, performing cohort, time-series, and correlation analyses to segment high-risk populations, monitor care plan adherence, and identify factors like medication gaps linked to 33% higher readmission rates.

• Executed data validation with AWS DataBrew and Glue crawlers, resolving schema mismatches and null errors, which improved claims- to-EHR join accuracy by 21% across multiple healthcare provider systems.

• Designed Power BI dashboards with slicer filters, drill-through views, KPI indicators, and DAX calculations for readmission risk and care compliance, enabling targeted intervention programs and supporting a 17% reduction in chronic care hospitalizations. Data Analyst, HSBC 01/2021 – 12/2022 Hyderabad, India

• Partnered with cross-functional teams in an Agile environment to analyze market trends, interest rates, and economic data, supporting strategic adjustments to the Bank’s financial products.

• Extracted and aggregated market data using SQL (JOIN, GROUP BY) queries, streamlining reporting processes and improving generation efficiency by 25%.

• Applied Python (Pandas, NumPy) with Statsmodels and SciPy for data manipulation, statistical analysis, and hypothesis testing, producing insights into macroeconomic impacts on financial products.

• Conducted time-series analysis to detect patterns in economic indicators and interest rates, storing processed results in SQL databases to ensure seamless long-term access and analysis.

• Built advanced Power BI dashboards with real-time updates, leveraging DAX, What-If Analysis, Dynamic Filtering, and Drill-Through, combined with rigorous data validation, to ensure accuracy and improve reporting efficiency by 30%. Jr.Analyst, Coforge 01/2020 – 12/2020 Hyderabad, India

• Assisted in developing ETL pipelines using Azure Data Factory to extract and load sales data from CRM and ERP systems, ensuring smooth data integration and timely availability for analysis.

• Supported SQL query writing and optimization under senior guidance to retrieve and prepare sales data, improving data processing efficiency and helping generate accurate reports for forecasting.

• Collaborated with the analytics team to build basic Tableau dashboards with filters and visualizations, learning to use Level of Detail

(LOD) calculations to provide clear sales insights for decision-makers. Education

Master of Science in Data Science and Analytics 01/2023 – 12/2024 Florida Atlantic University, Florida, USA

Bachelor of Technology in Electronics and Communication Engineering 07/2018 – 08/2022 CVR College of Engineering, Hyderabad, India

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