I'm a data analyst with 4+ years of experience in healthcare and financial services, translating large and complex datasets into actionable insights that drive clinical outcomes and business decisions. I specialize in building scalable ETL pipelines, developing interactive data visualizations and dashboards, and applying predictive analytics and machine learning to optimize processes, detect anomalies, and support data-driven decision making. I've delivered cloud-based data solutions using AWS and Azure, implemented HIPAA-compliant data storage, and partnered with clinicians, risk teams, and stakeholders to align analytics with regulatory requirements and operational goals. My work accelerates reporting, improves data quality, and empowers teams with data storytelling and analytics that inform strategy.

Lokesh Taduri

I'm a data analyst with 4+ years of experience in healthcare and financial services, translating large and complex datasets into actionable insights that drive clinical outcomes and business decisions. I specialize in building scalable ETL pipelines, developing interactive data visualizations and dashboards, and applying predictive analytics and machine learning to optimize processes, detect anomalies, and support data-driven decision making. I've delivered cloud-based data solutions using AWS and Azure, implemented HIPAA-compliant data storage, and partnered with clinicians, risk teams, and stakeholders to align analytics with regulatory requirements and operational goals. My work accelerates reporting, improves data quality, and empowers teams with data storytelling and analytics that inform strategy.

Available to hire

I’m a data analyst with 4+ years of experience in healthcare and financial services, translating large and complex datasets into actionable insights that drive clinical outcomes and business decisions. I specialize in building scalable ETL pipelines, developing interactive data visualizations and dashboards, and applying predictive analytics and machine learning to optimize processes, detect anomalies, and support data-driven decision making.

I’ve delivered cloud-based data solutions using AWS and Azure, implemented HIPAA-compliant data storage, and partnered with clinicians, risk teams, and stakeholders to align analytics with regulatory requirements and operational goals. My work accelerates reporting, improves data quality, and empowers teams with data storytelling and analytics that inform strategy.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Work Experience

Data Analyst at McKesson Corporation
May 1, 2024 - November 5, 2025
Architected ETL pipelines using Python and Apache Airflow to automate extraction, transformation, and validation of 500K+ patient records from multiple sources, improving processing efficiency and ensuring accurate, regulatory-compliant datasets for advanced analytics. Audited Epic EHR data with clinicians, identifying and correcting anomalies across 50K+ patient records, boosting reliability of predictive models and dashboards for evidence-based clinical decisions. Optimized PostgreSQL queries on multi-year patient datasets with indexing and partitioning, reducing execution latency by 60% and enabling scalable population health analytics and compliant reporting. Implemented HIPAA-compliant cloud storage on AWS S3 for secure storage and cross-departmental access.
Data Analyst at Accenture
July 1, 2023 - July 1, 2023
Engineered financial data pipelines using Python and Alteryx to automate extraction, transformation, and enrichment of 1M+ records, improving data quality and accelerating regulatory-compliant risk analysis. Optimized SQL Server databases and queries on 5+ years of transactional data, reducing latency by 50% and enabling faster risk monitoring and regulatory reporting. Built and deployed 20+ Tableau dashboards and BI reports integrating real-time market feeds and transactional datasets, delivering KPI tracking that helped executives identify portfolio risk exposure and improve strategic planning. Developed Azure Data Factory ETL pipelines to process 6TB+ datasets, reducing latency by 42% and speeding compliance reporting to regulators. Integrated AI-driven analytics into risk dashboards, automating anomaly detection and reducing manual reviews by 35%.

Education

Master of Science in Data Analytics at Clark University
January 11, 2030 - November 5, 2025
Bachelor of Technology in Electrical and Electronics Engineering at Kakatiya Institute of Technology and Science
January 11, 2030 - November 5, 2025

Qualifications

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Industry Experience

Healthcare, Financial Services