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I am Kavya Sri Kamisetty, a data analyst with 4+ years of experience across healthcare, IT, and real estate. I specialize in extracting, transforming, and analyzing large datasets using Python, SQL, R, and libraries like NumPy and Pandas to derive actionable insights. I have hands-on experience with cloud platforms like AWS and Azure, and I enjoy turning data into strategic decisions with dashboards in Tableau and Power BI, while collaborating in Agile environments and building predictive models to optimize outcomes.…I am Kavya Sri Kamisetty, a data analyst with 4+ years of experience across healthcare, IT, and real estate. I specialize in extracting, transforming, and analyzing large datasets using Python, SQL, R, and libraries like NumPy and Pandas to derive actionable insights. I have hands-on experience with cloud platforms like AWS and Azure, and I enjoy turning data into strategic decisions with dashboards in Tableau and Power BI, while collaborating in Agile environments and building predictive models to optimize outcomes.

Kavya Sri Kamisetty

Data Analyst, Data Scientist, AI Developer, +1

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I am Kavya Sri Kamisetty, a data analyst with 4+ years of experience across healthcare, IT, and real estate. I specialize in extracting, transforming, and analyzing large datasets using Python, SQL, R, and libraries like NumPy and Pandas to derive actionable insights. I have hands-on experience with cloud platforms like AWS and Azure, and I enjoy turning data into strategic decisions with dashboards in Tableau and Power BI, while collaborating in Agile environments and building predictive models to optimize outcomes.…I am Kavya Sri Kamisetty, a data analyst with 4+ years of experience across healthcare, IT, and real estate. I specialize in extracting, transforming, and analyzing large datasets using Python, SQL, R, and libraries like NumPy and Pandas to derive actionable insights. I have hands-on experience with cloud platforms like AWS and Azure, and I enjoy turning data into strategic decisions with dashboards in Tableau and Power BI, while collaborating in Agile environments and building predictive models to optimize outcomes.

Available to hire

I am Kavya Sri Kamisetty, a data analyst with 4+ years of experience across healthcare, IT, and real estate. I specialize in extracting, transforming, and analyzing large datasets using Python, SQL, R, and libraries like NumPy and Pandas to derive actionable insights.

I have hands-on experience with cloud platforms like AWS and Azure, and I enjoy turning data into strategic decisions with dashboards in Tableau and Power BI, while collaborating in Agile environments and building predictive models to optimize outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Data Analyst at Cigna

June 1, 2024 - Present

Developed and optimized Python scripts (Pandas, NumPy) and SQL queries to clean, analyze, and perform exploratory data analysis (EDA) on large Epic EHR datasets, extracting insights into patient outcomes and operational efficiency. Built and deployed machine learning models using TensorFlow to improve patient outcome forecasts by 50%, applying regression, ANOVA, and A/B testing to identify key drivers of outcomes and costs. Applied NLP techniques on physician notes and patient feedback to uncover patterns in unstructured healthcare data, informing care strategies. Designed interactive dashboards in Power BI to track KPIs on patient care, hospital efficiency, and cost-effectiveness. Automated data workflows with Apache Airflow to ensure faster, timely updates, and orchestrated scalable ETL pipelines on AWS EC2 and Azure Data Factory. Built SQL models in dbt with CI/CD tests to ensure data quality and scalability across healthcare datasets. Delivered advanced statistical analyses to surf

Business Data Analyst at Cognizant

November 1, 2019 - November 30, 2022

Led SDLC- and Waterfall-based projects delivering predictive analytics and customer segmentation to optimize costs and improve operational efficiency. Performed data wrangling and ETL using SSIS and Azure services, preparing high-quality structured datasets and executing complex SQL queries across relational data. Designed data warehouses on AWS Redshift and Azure, enabling scalable reporting across sources. Applied statistical techniques including hypothesis testing and regression to validate cost optimization strategies and inform recommendations. Built visualizations and reports in Python (Matplotlib), Power BI, and Excel to communicate segmentation, demographics, and cost-management insights. Conducted data mining and customer segmentation to reveal patterns aligned with marketing goals. Delivered data storytelling to translate analytics into actionable strategies that enhanced operational efficiency.