Yash Raghuwanshi

About Yash Raghuwanshi

I am an Associate Data Scientist with over 3 years of experience in applying machine learning, statistical modeling, and AI to drive data-driven decision-making in healthcare. With expertise in predictive analytics, healthcare analytics, and AI-driven solutions, I am passionate about optimizing healthcare operations, improving patient outcomes, and reducing costs through advanced data science techniques.In my current role at University Hospitals, I\'ve developed and deployed machine learning models predicting post-acute discharge readmissions, achieved substantial improvements in risk stratification models, and contributed to a cloud infrastructure migration, resulting in significant operational gains. My hands-on experience spans across a range of tools and platforms, including Python, R, SQL, Alteryx, Power BI, and cloud services (Azure & GCP), with a strong focus on healthcare systems like EPIC.I am committed to leveraging my expertise to improve healthcare delivery and am currently seeking opportunities to take on leadership roles in AI & healthcare analytics, with a long-term goal of becoming a Senior Data Scientist. I am particularly interested in roles that allow me to innovate at the intersection of healthcare and technology, applying AI and ML to solve complex challenges.Key Skills- Programming & Tools: Python, R, SQL, SAS, Alteryx, Power BI, Tableau, MATLAB, DAX- Machine Learning & AI: Classification, Regression, Time Series, NLP, Deep Learning, Computer Vision- Healthcare Analytics: EPIC Caboodle, EPIC Cogito, Allscripts, HIPAA Compliance, HEDIS Measures- Data Engineering: ETL, Data Pipelines, Google Cloud (BigQuery), Azure Data Studio- Collaboration & Strategy: Stakeholder Engagement, Product Development, Agile & ScrumLet\'s connect if you’re interested in discussing AI & healthcare analytics, machine learning, or innovative data solutions in healthcare!

Experience

1. Associate Data Scientist

   University Hospitals

   Jul 2021 — Present · Cleveland, OH, US

   Developed machine learning models to predict post-acute discharge readmissions, achieving an accuracy of 82%, leading to a 20% reduction in readmission rates and improved patient care management.•Contributed to AI-powered patient risk stratification models, enhancing care management efficiency by 15% and aiding in proactive intervention strategies.•Optimized Alteryx workflows and Power BI dashboards, increasing the accuracy and efficiency of population health analytics by 35%, enabling more actionable insights for healthcare teams.•Led the cloud migration of the hospital\'s analytics infrastructure, reducing query processing time by 40% and streamlining the data retrieval process.•Collaborated with senior data scientists, physicians, and healthcare professionals to translate complex business challenges into AI-driven solutions, improving patient care and operational efficiency.

Education

• University of North Carolina at Charlotte

  Master of Science - MS, Health Informatics and Analytics

  2019 — 2021

• Govt. Holkar Science College A.B. Road, Indore

  Bachelor of Science, Medical Microbiology and Bacteriology

  2014 — 2017

• St paul higher secondary school

  Senior school certification , Physics , chemistry and biology with english

  2012 — 2013

• Indira Gandhi National Open University

  Post graduate diploma in environmental and suistainable development, Environmental Science

  2017