Data Analyst Machine Learning

PHANI KUMAR S DATA ANALYST

Mail: *****************@*****.*** Mobile: +1-765-***-****

PROFESSIONAL SUMMARY

Results-driven Data Analyst with 3+ years of experience in Healthcare and IT domains. Expert in SQL, Python, R, ETL pipelines, and data visualization. Proven track record in building scalable analytics solutions, interactive dashboards, predictive models, and implementing data governance practices. Skilled in cloud-based data warehousing, real-time data processing, and ensuring HIPAA, GDPR, and HITRUST compliance to drive operational efficiency and informed decision-making.

SKILLS

Programming & Scripting: Python (Pandas, NumPy, Scikit-learn), R, SQL, T-SQL

Databases: Azure SQL Database, PostgreSQL, Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse Analytics

ETL & Data Pipelines: Apache Airflow, dbt, Talend, Azure Data Factory (ADF), SSIS, Azure Logic Apps, AWS Glue

Data Warehousing: Azure Synapse Analytics, Snowflake, Amazon Redshift, Google BigQuery, Azure Data Lake Storage (ADLS). Data Visualization: Tableau, Power BI, Looker

Machine Learning: Scikit-learn, Azure Machine Learning Studio, Python for Predictive Modeling

Real-Time Data Processing: Apache Kafka, AWS Kinesis, Azure Databricks

Cloud Platforms: Azure (Azure Synapse, ADF, Logic Apps, Databricks, API Management), AWS (Lambda, Kinesis, S3, Glue), GCP

Data Governance & Security: HIPAA, HITECH, GDPR, HITRUST, Azure Purview, Azure Security Center, Role-Based Access Control (RBAC)

APIs & Integrations: REST APIs, Azure API Management

Data Quality & Auditing: Great Expectations, Azure Purview, Data Quality Frameworks

Automation & Workflow: Power Automate, Azure Logic Apps, Jenkins

Compliance & Privacy: HIPAA, GDPR, PCI-DSS, CMS, SOC 2

Data Modelling & Analysis: Data Cleansing, EHR Data Analysis, Population Health Analytics, Risk Assessment

Software Development Methodologies: Agile, Scrum

Collaboration & Stakeholder Management: Cross-functional Team Collaboration, ITSM Standards

PROFESSIONAL EXPERIENCE

UnitedHealthcare, Texas, USA

Healthcare Data Analyst / Feb 2025 – Present

•Developed 20+ interactive dashboards and reports using Power BI and Tableau, improving operational decision-making speed by 30% and enhancing financial reporting accuracy.

•Built and automated ETL pipelines processing 10M+ clinical records per month, improving data availability for analytics by 35% and reducing processing errors by 20%.

•Migrated and managed healthcare data on Azure Synapse Analytics (formerly SQL Data Warehouse), ensuring encryption and secure storage of Protected Health Information (PHI) in accordance with HIPAA guidelines.

•Implemented predictive models using Python, Scikit-learn, and Azure Machine Learning Studio to identify high-risk patients and predict hospital readmission rates, in accordance with PHI de-identification protocols.

•Analyzed clinical data using SQL and Azure SQL Database to monitor patient safety metrics, identify adverse events, and recommend process improvements, ensuring data compliance with HIPAA Security Rule.

•Developed and automated secure data pipelines using Azure Data Factory and Databricks, ensuring end-to-end encryption and RBAC (Role-Based Access Control) to restrict unauthorized access to sensitive data.

•Utilized Azure Logic Apps and Power Automate to automate data integration workflows between EHR systems and reporting platforms, ensuring audit logs for compliance with HIPAA Privacy Rule.

•Conducted data quality assessments and data governance policies using Azure Purview and Azure Security Center, maintaining audit trails and encryption protocols to protect PHI.

•Optimized complex SQL queries, improving query performance by 25% and reducing report generation time by 40%.

•United with healthcare providers, clinical teams, and compliance officers to ensure data solutions align with HIPAA, GDPR, and HITRUST standards, safeguarding patient privacy and improving data security practices.

Indiana State University, Indiana, USA

Computer Technician / Nov 2023 – Jan 2025

•Provided front-line technical support to students, faculty, and staff at the university’s IT helpdesk.

•Diagnosed and resolved hardware, software, and network-related issues on Windows and macOS systems.

•Installed, configured, and maintained computers, printers, and peripheral devices across campus labs and offices.

•Assisted in the setup and troubleshooting of university-supported software, including antivirus programs, productivity suites, and academic tools.

•Supported student computer labs by maintaining system performance and ensuring up-to-date software deployments.

•Documented support requests and solutions in the ticketing system, ensuring timely resolution and escalation when necessary.

•Trained and guided new student technicians, ensuring adherence to IT policies and best practices.

•Participated in asset management tasks, including inventory tracking and equipment check-in/check-out procedures.

•Collaborated with full-time IT staff on special projects, system upgrades, and technical documentation efforts.

Zingaro Ai Pvt Ltd, Khammam, Telangana

Data Analyst / Aug 2022 – Jun 2023

•Cooperated directly with Panasonic India to deliver advanced analytics solutions, significantly enhancing product performance insights and customer engagement analysis.

•Developed and optimized ETL pipelines with AWS Glue and S3, achieving a 40% improvement in data processing efficiency and scalability.

•Built automated data validation frameworks using SQL and Python, improving data accuracy and reliability by 30%.

•Created 15+ interactive, real-time Tableau dashboards, enabling leadership teams to reduce reporting turnaround times by 50% and identify product performance trends 20% faster.

•Implemented Python-based statistical forecasting models, increasing predictive accuracy of sales trends and customer behaviors by 20%.

•Engineered data workflow automation with Apache Airflow, streamlining data processes and reducing manual handling efforts by 50%.

•Managed high-performance data warehousing solutions using AWS Redshift, enabling scalable and rapid analytics and reporting.

•Performed detailed ad hoc SQL analysis, uncovering correlations between product usage patterns and market performance, informing targeted marketing strategies.

•Conducted regular data cleansing and transformations, ensuring consistency and quality across diverse datasets from multiple business units.

•Coordinated cross-functionally with stakeholders, delivering actionable Power BI visualization reports to drive operational excellence and revenue growth.

Jrai.Tech, Gurgaon, Haryana

Data Analyst - Python Intern / Jan 2022 – Jul 2022

•Collaborated on developing a scalable inventory management system for a European client, streamlining sales, purchases, and reporting processes.

•Built backend services using Python (Flask) to develop robust RESTful APIs supporting dynamic inventory workflows.

•Designed and managed MySQL database schemas, efficiently structuring product, supplier, and transaction data for enhanced reporting.

•Authored SQL queries improving data accuracy by 25% and reducing report generation time from 2 hours to 30 minutes.

•Executed secure user authentication and session management modules, ensuring safe and controlled data access.

•Supported seamless front-end integration using AJAX and jQuery, facilitating effective user interactions with backend services.

EDUCATION

Master’s in Computer Science – Indiana State University

CERTIFICATIONS

Data Analyst Bootcamp Certification - Udemy

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