Data Analyst II @ Centene Corporation | Master's in Data Science @ Georgia State University

San Jose, California, United States

California, United States

California, United States

Atlanta, Georgia, United States

Hyderabad Area, India

Chennai, Tamil Nadu, India

Master's degree, Data Science and Analytics
Georgia State University - J. Mack Robinson College of Business
Bachelor of Technology (BTech), Electronics and Communication Engneerinng
Gokaraju rangaraju institute of technology
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At Centene Corporation, our team leverages advanced data analytics to enhance healthcare operations, underpinned by my Master's from Georgia State University in Data Science and Analytics. With a robust grasp of SQL and Power BI, I drive the creation of dynamic dashboards and reports, directly contributing to improved decision-making and operational efficiency. My engineering background from Gokaraju Rangaraju Institute of Technology primes me for innovation in data modeling and visualization, where I excel at turning intricate datasets into tangible insights. My commitment to business intelligence and process improvement embodies my pursuit of excellence and my zeal for solving complex problems in the healthcare industry.
San Jose
Data Analyst II at Centene Corporation, Oct 2024 - Present · 1 yr 8 mos, San Jose, California, United States
Business Intelligence Analyst at Molina Healthcare, Apr 2023 - Oct 2024 · 1 yr 7 mos, California, United States, • Extract, Load & Model raw data to ensure accuracy and readiness for reporting to create regulatory , compliance and operational reports in Claim, Member, Provider, and Clinical data. • Assisted in creating subsets for target variables, organized large data sets post-requirement gathering, and performed routine data refreshes for accurate reporting and data mapping. • Developed dynamic Power BI dashboards and designed reports(ADHOC/Monthly/yearly) as per business requirements, SSIS, and SSRS reports to provide Stakeholders and Executives with meaningful insights for informed decision-making reducing manual efforts by 25% and help with business operations and ensuring compliance with federal and state deliverables. • Utilized SQL code for complex reports, combining different data sets to ensure accuracy and uncover significant insights • Enhanced existing reports to comply with changing regulations and requirements and prioritize tasks as per priority.
Data Analyst at Abbott, Aug 2022 - Mar 2023 · 8 mos, California, United States
Business Data Analyst at Georgia State University - J. Mack Robinson College of Business, Aug 2021 - Aug 2022 · 1 yr 1 mo, Atlanta, Georgia, United States, 1. Prepared data sets with Selenium, Beautiful soap, and preprocessed it with Python(Pandas). 2. Visualizing data with Python (Matplotlib, Seaborn), Tableau, and Power BI to target important parts and decrease implementation time by 2 to 5 days. 3. Forecasting trends in data, performing statistical analysis, and performing and deriving insights implementing Sentimental Analysis (TextBlob, TensorFlow) on data model with NLP, Topic Modelling techniques, and BERT model to help with inclusive branding strategies resulting in an increasing impact of advertisements by 28%.
Business Data Analyst at Capgemini, May 2019 - May 2021 · 2 yrs 1 mo, Hyderabad Area, India, 1. Improved efficiency for 10K users through detailed analysis of production issues and seamless execution of sustainable solutions bringing into play SQL, Guidewire Policy Center, Guidewire Billing Center, Excel, and Tableau. 2. Analyzed Forms and Documents workspace of Guidewire application and helped inform leadership decision-making regarding requirements for applications running on Salesforce and AWS utilizing Tableau, Power BI, and Microsoft Excel to ensure forms and documents are appealing and understandable to consumers and resulting in an increase in sales by 15%.
Data Analyst at Capgemini, Dec 2018 - Apr 2019 · 5 mos, Chennai, Tamil Nadu, India, 1. Collected data from different ongoing projects in Capgemini and performed Text Cleaning on cleaned and investigated it with Python, Tableau, and Power BI. 2. Anticipated an estimated training cost for each section utilizing unsupervised machine learning models, thereby helping to plan training costs to get reduced by 35%.
Master's degree, Data Science and Analytics, Georgia State University - J. Mack Robinson College of Business
Bachelor of Technology (BTech), Electronics and Communication Engneerinng, Gokaraju rangaraju institute of technology