Manindranath Kommineni

Data Analyst @Humana

Birmingham, AL, US
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WORK HISTORY

Aug 2024 — Present

Data Analyst @Humana

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US

Developed interactive Power BI dashboards with advanced DAX and Power Query for real-time monitoring of cloud infrastructure, reducing system downtime by 20%. Integrated data from AWS Redshift, SQL Server, and S3 for unified reporting.• Automated ETL workflows using Talend and optimized SQL scripts to extract and transform log data from SQL Server, improving pipeline efficiency and reducing manual effort by 35%.• Performed root cause analysis on outages using Python (Pandas, NumPy) and SQL, accelerating resolution by 25%. Built forecasting models (ARIMA, Prophet) to predict resource needs, reducing operational costs by 15%.• Managed scalable ETL pipelines with Apache Airflow, integrating data from multiple sources and improving availability for system monitoring. Automated SQL query executions for reporting, improving data accuracy by 30%.• Implemented robust data validation and governance frameworks to ensure integrity and compliance with industry standards, producing high-quality datasets for analytics. Created KPI dashboards to track uptime, latency, and application performance, enabling proactive issue resolution.• Utilized AWS Lambda and S3 to automate cloud-based data processing workflows, reducing manual intervention by 40%. Conducted A/B testing and performance analysis on server configurations, improving reliability by 18%.• Collaborated with cross-functional teams including Data Scientists, Engineers, and Product Managers to translate business needs into technical solutions that improved data accessibility and decision-making.

EDUCATION

2022 — 2024

University of Alabama at Birmingham

Master of Science - MS

2018 — 2022

SRM IST Chennai

Bachelor's degree

ABOUT MANINDRANATH KOMMINENI

Data Analyst with over 3+ years of experience in leveraging data analytics to drive strategic decision-making. Proficient in SQL, Python (Pandas, NumPy), Power BI, and Tableau for data visualization and reporting. Expertise in developing ETL pipelines, performing statistical modelling, and conducting predictive analytics to enhance operational efficiency. Strong background in cloud- based data integration (AWS) and data governance. Proven track record of automating processes to improve data accuracy and reporting speed, delivering actionable insights that optimize business performance and reduce costs.

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