Data Analyst Power Bi

ROHIT BEEMARI

+1-978-***-**** **************@*****.*** LinkedIn github.com/rohith-beemari

PROFESSIONAL SUMMARY

Result-driven Data Analyst with 4+ years of experience in healthcare analytics, specializing in dashboard development, ETL automation, and data visualization. Proficient in Tableau, Power BI, SQL, Python (Pandas, NumPy), and Alteryx. Skilled in analyzing large datasets (3M+ records), improving reporting efficiency, and enhancing data accuracy. Experienced in patient segmentation, claims analysis, and regulatory metrics (HEDIS, HIPAA, STAR ratings). Strong track record of migrating legacy reports to scalable BI platforms and collaborating with cross-functional teams to deliver actionable insights for clinical, operational, and financial decision-making.

TECHNICAL SKILLS

Data Analysis & Programming: SQL, Python (NumPy, Pandas, Matplotlib, Seaborn), R (basic), Excel, VBA

Business Intelligence & Data Visualization: Power BI, Tableau, Tableau Prep, Google Data Studio, QlikView, Looker, Microsoft PowerPoint

Data Management & Warehousing: ETL, Data Pipelines, Apache Hadoop, Apache Spark, AWS (Redshift, S3), Azure Data Factory, Google Cloud Platform, Snowflake

Machine Learning & Predictive Analytics: Scikit-learn, XGBoost, ARIMA, K-Means Clustering, Linear & Logistic Regression, Time Series Forecasting, TensorFlow (basic)

Reporting & Automation: Alteryx, Power Automate, Microsoft Power Query, Python Automation Scripts, SQL Stored Procedures

Database Management & Systems: MySQL, PostgreSQL, Oracle Database, MS SQL Server, MongoDB

Data Modeling & Statistical Analysis: Data Warehousing, Dimensional Modeling, Data Normalization, Hypothesis Testing, Statistical Analysis

Healthcare & Regulatory Analytics: HEDIS, HIPAA Compliance, STAR Ratings, Claims Data Analysis, Patient Segmentation, NCQA Metrics

Version Control & Development Tools: Git, GitHub, Jupyter Notebooks, VS Code

Project Management & Collaboration: Agile/Scrum, JIRA, Trello, Confluence, Slack, UAT Testing, BRD/FRD Documentation

PROFESSIONAL EXPERIENCE

Data Analyst Humana, USA Dec 2024 – Present

Designed and deployed 10+ interactive Tableau and Power BI dashboards for clinical and operational teams, reducing manual reporting time by 40% and enhancing visibility into patient care KPIs and claim processing trends.

Utilized Python (Pandas, NumPy) and SQL for cleansing and analyzing large healthcare datasets (>3M records), automating ETL pipelines and improving data accuracy for population health analytics.

Developed automated workflows using Alteryx and Python scripts to streamline claims adjudication reporting and reduce data lag by 35%, enabling real-time insights for case management and utilization review.

Led the migration of legacy Excel-based reports to centralized BI platforms, increasing report adoption by 60% across medical management and provider services departments.

Collaborated with clinical, actuarial, and compliance teams to define KPIs and build dashboards for value-based care initiatives, improving alignment with NCQA and CMS quality metrics (e.g., HEDIS, STAR ratings).

Conducted patient segmentation analysis to support predictive modeling for chronic disease management programs, leveraging SQL, Tableau, and statistical libraries to identify high-risk member cohorts.

Improved the accuracy of member eligibility and claims data by developing anomaly detection scripts, reducing data discrepancies by 30% and improving downstream analytics.

Data Analyst Version 1, Banglore, India Aug 2021 – Jul 2023

Collaborated with cross-functional teams to analyze healthcare and financial datasets, translating raw data into actionable insights that improved cost controls and enhanced patient service delivery for client organizations.

Developed and maintained interactive Power BI dashboards to monitor key metrics such as claim denial rates, patient throughput, and operational costs—reducing ad hoc report requests by 40%.

Automated data extraction and transformation workflows using SQL and Python (Pandas, NumPy), replacing outdated manual processes and increasing reporting efficiency by 35%.

Applied statistical modeling and trend analysis to forecast financial outcomes and support strategic resource planning across healthcare operations.

Delivered data-driven presentations to internal stakeholders and client executives, simplifying complex metrics into clear visual stories using PowerPoint and Power BI visuals.

Built scalable ETL pipelines and enforced data governance protocols to ensure data accuracy, security, and compliance with healthcare regulatory standards (HIPAA, HL7).

EDUCATION

Master’s of Information and Technology Aug 2023 – May 2025

Wilmington University, New Castle, DA

Bachelor of Civil Engineering Aug 2018 – May 2022

St. Martin’s Engineering College

PROJECT

Amazon Products Analytics Python, Power BI (DAX, Slicers), Data Visualization

Pioneered a standardized data modeling methodology adopted acrossthree regionalsalesteams, empowering data driven decision making and optimizing resource allocation, leading to reduced sales costs.

Curated AWS infrastructure using S3, Glue, and Redshift for a scalable analytics platform, decreasing data latency by 40% and accelerating report generation for stakeholders across the organizations.

CERTIFICATIONS

Microsoft Certified: Data Analyst Associate (Power BI)

Google Data Analytics Professional Certificate

Tableau Desktop Specialist

Full Stack Python Programming

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