Data Analyst Power Bi

Shirisha Hechirla

Data Analyst

Austin, TX Open to Relocate/Remote +1-850-***-**** ****************@*****.*** LinkedIn PROFESSIONAL SUMMARY

Analytical and detail-oriented Data Analyst with over 3 years of experience in healthcare and financial services, leveraging data science, business intelligence, and data engineering to support organizational decision-making. Proven ability to translate complex datasets into clear business strategies. Proficient in SQL, Python, Tableau, Power BI, and cloud platforms (AWS, BigQuery, Snowflake). Expertise in regression modeling, A/B testing, ETL pipelines, and healthcare-compliant reporting (HIPAA, CMS). Adept in cross-functional communication, agile project delivery, and driving operational improvements across domains. Passionate about solving business problems through data.

SKILLS

Data Analytics & Modeling: EDA, A/B Testing, Hypothesis Testing, Logistic & Linear Regression, Clustering, Classification, Predictive Modeling, Time-Series Forecasting (ARIMA, ETS), Root Cause Analysis, Statistical Inference

Programming & Scripting: Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, OpenPyXL), SQL (T-SQL, PL/SQL), R, SAS, Excel VBA, Jupyter, PySpark

Data Visualization & BI Tools: Tableau, Power BI, Looker, Excel (PivotTables, Power Query, Dashboards, Charts, Macros), Data Storytelling, KPI Reporting

ETL & Data Engineering: ETL Pipelines, Data Wrangling, Data Transformation, API Integration, Star Schema, Dimensional Modeling, Data Blending, Server-Side Scripting, Automation Scripts

Databases & Cloud Platforms: MS SQL Server, MySQL, PostgreSQL, Oracle, MongoDB, Google BigQuery, Snowflake, AWS (S3, Redshift, Lambda), Azure Data Studio, Databricks

Testing & CI/CD: Unit Testing (pytest), Automated Data Testing, Git, GitHub, GitHub Actions, CI/CD Pipelines, Version Control

Business Analysis & Documentation: BRD, FRD, UAT Planning, RTM, Gap & SWOT Analysis, Use Cases, Process Mapping, Change Management, Documentation (Confluence, SharePoint)

Project Management & Tools: JIRA, Asana, Agile (Scrum, Sprint Planning), Lucidchart, Microsoft Visio

Soft Skills & Domain Knowledge: Stakeholder Management, Cross-functional Collaboration, Effective Communication, Problem Solving, Time Management, Adaptability, Business Acumen, Presentation Skills, Healthcare Analytics (HIPAA, CMS), Financial Reporting

PROFESSIONAL EXPERIENCE

Data Analyst UnitedHealth Group – Florida, USA Dec 2024 – Present

Processed and analyzed 2M+ healthcare claims using SQL Server and Python to detect fraud patterns and reduce delays by 18%.

Developed predictive models (logistic regression) for patient readmission risk, boosting proactive interventions and improving accuracy by 22%.

Created and maintained interactive Tableau dashboards to visualize treatment journeys across 50+ hospitals, enhancing stakeholder visibility and care quality.

Engineered end-to-end ETL pipelines using Python and SQL, improving data freshness and reducing data prep time by 35%.

Integrated data from third-party systems via API connections and applied RBAC for HIPAA compliance and data security.

Collaborated with product managers, business analysts, and clinical SMEs to define data requirements and KPIs.

Automated test cases with pytest, decreasing post-deployment errors by 25% and ensuring scalable analytics delivery.

Implemented CI/CD pipelines using GitHub Actions, improving deployment speed and reducing manual intervention.

Contributed to Agile sprint ceremonies (daily standups, sprint reviews, retrospectives) and led analytics documentation in Confluence.

Supported internal audits by generating compliance reports for CMS and HIPAA standards, achieving zero audit findings. Data Analyst Mphasis – Hyderabad, India May 2021 – July 2023

Automated monthly financial reports using SQL Server and Excel VBA, reducing report delivery time by 40%.

Built Power BI dashboards for logistics and operational KPIs, leading to a 12% improvement in delivery SLAs.

Conducted A/B testing and funnel analysis on user behavior data, increasing app retention rate by 9.5%.

Developed forecasting models (ARIMA, ETS) for quarterly sales projections, improving planning accuracy by 17%.

Wrote Python automation scripts for Excel-based reporting, saving 10+ hours/month in manual effort.

Designed star schema models for reporting databases, enhancing performance and scalability of data queries.

Resolved data anomalies by implementing root cause analysis processes, reducing incident recurrence by 25%.

Produced data documentation and knowledge bases in Confluence, improving analyst onboarding and consistency.

Collaborated with developers and QA teams in Agile sprints, ensuring data quality and meeting release deadlines. EDUCATION

Master of Science in Data Science

Florida State University – Tallahassee, FL

Bachelor of Technology in Electronics & Communication Engineering Gokaraju Rangaraju Institute of Engineering and Technology – Hyderabad, India CERTIFICATIONS

AWS Academy Graduate – Machine Learning

AWS Academy Graduate – Cloud Foundations

Contact this candidate