Available to hire
Hi, I’m Bhavya Sri K, a data analyst with 3+ years of experience in healthcare and retail. I turn messy data into clear, actionable insights, building predictive models and dashboards that help teams monitor KPIs in real time and automate data flows for compliant analytics.
Outside the numbers, I enjoy collaborating with cross-functional teams to translate business questions into data-driven solutions, continually learning new tools like NLP techniques, cloud platforms, and advanced visualization to deliver impact.
Skills
Experience Level
Language
Afar
Advanced
Work Experience
Data Analyst at McKesson Corporation
August 1, 2024 - November 4, 2025Performed comprehensive data mining across 10+ healthcare provider and payer systems to detect hidden payment inconsistencies; automated compliance exception reports for claims audits using Advanced Excel Macros, VLOOKUP, and pivot models. Built interactive Power BI dashboards connected to live Microsoft SQL Server feeds to monitor 25+ operational KPIs, including provider billing accuracy, prior authorization turnaround, and member claims cycle time. Integrated unstructured physician notes and member grievance logs into NLP pipelines, extracting over 18,000 clinical and policy terms to boost early detection of high-risk claims. Developed and validated predictive regression models in SAS with 85% accuracy, enabling interventions that prevented 7,000+ non-compliant payments in under six months. Optimized PostgreSQL queries and transformations, increasing payment integrity across 6 regional centers by 20% and lowering denial rates by 13%.
Data Analyst at Infosys
July 1, 2023 - July 1, 2023Automated ingestion of daily inventory and sales feeds from 6 global databases using Apache Airflow, delivering cleansed stock data within 30 minutes of warehouse updates. Developed neural networks with Keras to predict in-store and online product return likelihood, analyzing 1.3 million transactions and flagging 4,900+ high-risk SKUs for review. Built TensorFlow models with stratified cross-validation, improving demand forecasting accuracy by 17% and optimizing replenishment for seasonal campaigns. Created executive Tableau dashboards across 90+ locations with real-time metrics to quickly identify bottlenecks. Implemented Snowflake analytics layer to merge POS data with vendor logs, achieving 21% faster queries. Used Google Analytics to map cross-device journeys to 15 KPIs, increasing targeted ad CTR by 10%. Documented insights with R and Jupyter Notebook for merchandising and supply chain stakeholders. Built GDPR-compliant pipelines in Informatica processing 120K+ PII, ensuring audit
Education
Master of Science in Information Systems and Technologies at University of North Texas, Denton, USA
January 11, 2030 - November 4, 2025Bachelor of Technology at SVEC (Sree Vidyanikethan Engineering College), Tirupati, Andhra Pradesh, India
January 11, 2030 - November 4, 2025Qualifications
Industry Experience
Healthcare, Retail, Life Sciences, Professional Services, Software & Internet
Skills
Experience Level
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