Paurush Totlani

Data Analyst

Centene Corporation

Jun 2024 - Current (2 years 2 months)

As a Data Analyst, I played a pivotal role in transforming data into actionable insights, significantly enhancing reporting efficiency and operational performance. I automated SQL queries and ETL pipelines using Azure Data Factory and Databricks, reducing reporting turnaround from three days to under two hours. I built scalable Power BI and Tableau dashboards featuring real-time KPIs for over 1 million members, while partnering with actuarial, compliance, and provider teams to deliver critical insights for HEDIS and NCQA reporting. My expertise in root cause analysis (RCA) on claims data led to a 15% reduction in discrepancies, and I designed cloud-native data processing solutions with Databricks and Snowflake. I applied Lean Six Sigma me

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Data Analyst

Leanopsys LLC

Jan 2024 - Dec 2024 (1 year)

As a Data Analyst, I built self-learning ETL pipelines using Python and SQL for Medicare claims, significantly enhancing data processing efficiency. I applied PyTorch machine learning models to predict readmission risk, achieving an impressive 18% increase in identification accuracy. My role involved designing and deploying A/B tests with Google Optimize, which resulted in a 12% increase in conversion rates. I modeled provider behavior and high-cost patterns utilizing Snowflake and Databricks, and deployed models into production APIs while adhering to MLOps best practices. Collaborating closely with the software engineering team, I developed client-facing data dashboards in React.js, ensuring seamless integration of SQL and Python-based dat

Data Analyst

SimonMed Imaging

Sep 2023 - May 2024 (9 months)

As a Data Analyst, I queried and analyzed patient datasets using SQL to uncover care trends, designed predictive models that improved patient volume planning accuracy by 20%, and created KPI dashboards that reduced reporting time by 40%. I partnered with leadership to scale these dashboards across 50+ locations, ensuring that governance and compliance were integral to our analytics processes. Leveraging Python, I automated ETL workflows, performed data cleaning, and integrated APIs, which significantly enhanced our clinical analytics dashboards. Additionally, I collaborated with the engineering team to design React.js-based internal visualization modules, focusing on data layer integration to ensure seamless data flow from SQL and Python pr

Operations & Data Analyst Intern

IEHP

Jul 2023 - Aug 2023 (2 months)

- Built KPI dashboards and automated workflows, enhancing operational efficiency and data visibility. - Conducted public health quantitative analytics, providing insights to support decision-making processes. - Collaborated with Data Engineering and Software teams to design interactive Power BI dashboards and web-based reporting modules that integrated with internal applications built using React.js and JavaScript. - Assisted in testing and validating data render logic in JavaScript for filters, dropdowns, and embedded charts, ensuring accurate display of analytics to end-users. - Gained hands-on exposure to front-end integration, deepening my understanding of how React.js consumes APIs and dynamic datasets, effectively bridging data mo

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Data Analyst

MT Renaissance Remedies

Jun 2020 - Oct 2022 (2 years 5 months)

Built Power BI/Tableau dashboards reducing reporting time –30% • Applied unsupervised clustering to identify anomalies (–15% inefficiencies) • Conducted market analysis & cost–benefit studies, cutting costs –12% • Automated MySQL + Python ETL pipelines for accuracy improvement • Introduced CI/CD in ETL development using GitHub Actions • Collaborated on analytics and data pipeline design to support both internal and client-facing dashboards, creating interactive prototypes similar to Metabase, which were later embedded in React.js-based web applications. This involved working closely with developers using JavaScript to integrate SQL-driven data outputs from our warehouse. • Wrote and optimized complex SQL queries to clean and mod

Research Assistant

Bharati Vidyapeeth University

Jan 2019 - Jan 2020 (1 year 1 month)

As a Research Assistant at Bharati Vidyapeeth University, I focused on data collection, visualization, and providing publication support for various research projects. My role involved collaborating with other researchers to convert static analytical outputs into web-accessible visual summaries, enhancing the accessibility and impact of our findings. While the position was primarily academic, I explored JavaScript-based visualization libraries such as Chart.js and D3.js to create interactive research dashboards that could be easily viewed through simple web interfaces. This experience introduced me to the fundamentals of front-end visualization and interactivity, which later evolved into my understanding of how frameworks like React.js hand

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