Available to hire
An Experienced Data Analyst with 3.5+ years of expertise in healthcare, eCommerce, and FinTech analytics. Skilled in SQL, Python,
Tableau, Power BI, and cloud platforms like AWS, Azure, GCP. Proven track record in predictive modeling, dashboard
development, and optimizing business operations and compliance.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Expert
Intermediate
Language
English
Fluent
Work Experience
Data Analyst at Highmark Inc.
March 1, 2024 - PresentEngineered interactive dashboards using Tableau and SQL to examine healthcare claims data, identifying patient utilization patterns and reducing unnecessary claim payouts by 10%. Formulated predictive models in Python (pandas, scikit-learn) to identify high-risk patient segments, enabling targeted interventions that improved proactive care management effectiveness by 15%. Streamlined regulatory compliance reporting via automation with SQL and Excel, achieving 100% accuracy and decreasing report preparation time by 50% for Medicare and Medicaid audits. Evaluated chronic disease management initiatives using statistical insights in Python and visual storytelling in Power BI, boosting member preventive care participation by 12%. Designed and maintained KPI dashboards in SAS and Tableau to monitor operational metrics (claim processing timelines and customer satisfaction ratings), contributing to an 8% enhancement in operational efficiency.
Data Analyst at Sigma Infosolutions Ltd.
November 1, 2020 - June 1, 2023Performed data extraction and complex SQL queries using MySQL and PostgreSQL to pull insights for eCommerce and FinTech clients, enabling data-driven decisions. Built interactive dashboards using Power BI and Tableau, showcasing key performance metrics for sales performance, customer analytics, and product performance across platforms like Magento, Shopify, and Salesforce CRM. Developed predictive models in Python to forecast sales trends, customer churn, and payment patterns, significantly improving the accuracy of business forecasting by over 20%. Utilized AWS services (S3, EC2, Redshift) to design scalable data pipelines for real-time analytics and reporting. Analyzed consumer purchase behavior, conversion rates, and website traffic data to optimize eCommerce platforms Magento and Shopify, resulting in an 18% increase in conversion rates. Conducted extensive data analyses using advanced Excel (Pivot Tables, macros, VLOOKUP) for client reporting and performance benchmarking of digita
Education
Master of Science in Information Technology Services Administration and Management at Lindsey Wilson College
August 1, 2023 - May 1, 2025Bachelor of Engineering in Electronics and Communication Engineering at VNR Vignana Jyothi Institute of Engineering and Technology
August 1, 2018 - July 1, 2022Qualifications
Industry Experience
Healthcare, Financial Services, Software & Internet, Retail, Professional Services, Media & Entertainment
Skills
Experience Level
Expert
Expert
Expert
Expert
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Expert
Expert
Expert
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Intermediate
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