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Vedant Kadam is a Data Scientist and Analyst with expertise in machine learning, healthcare analytics, and Generative AI. He holds a Master’s in Information Systems from Syracuse University and has experience building predictive models, scalable ETL pipelines, and data-driven dashboards using Python, SQL, Power BI, and Tableau. Vedant has developed production-ready AI solutions, including a RAG-based medical chatbot and a deep learning stroke detection system deployed on AWS. His work focuses on delivering measurable impact through advanced analytics, automation, and data-driven decision-making.…Vedant Kadam is a Data Scientist and Analyst with expertise in machine learning, healthcare analytics, and Generative AI. He holds a Master’s in Information Systems from Syracuse University and has experience building predictive models, scalable ETL pipelines, and data-driven dashboards using Python, SQL, Power BI, and Tableau. Vedant has developed production-ready AI solutions, including a RAG-based medical chatbot and a deep learning stroke detection system deployed on AWS. His work focuses on delivering measurable impact through advanced analytics, automation, and data-driven decision-making.

Vedant Kadam

Data Scientist, Data Analyst, Full Stack Developer, +2

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Vedant Kadam is a Data Scientist and Analyst with expertise in machine learning, healthcare analytics, and Generative AI. He holds a Master’s in Information Systems from Syracuse University and has experience building predictive models, scalable ETL pipelines, and data-driven dashboards using Python, SQL, Power BI, and Tableau. Vedant has developed production-ready AI solutions, including a RAG-based medical chatbot and a deep learning stroke detection system deployed on AWS. His work focuses on delivering measurable impact through advanced analytics, automation, and data-driven decision-making.…Vedant Kadam is a Data Scientist and Analyst with expertise in machine learning, healthcare analytics, and Generative AI. He holds a Master’s in Information Systems from Syracuse University and has experience building predictive models, scalable ETL pipelines, and data-driven dashboards using Python, SQL, Power BI, and Tableau. Vedant has developed production-ready AI solutions, including a RAG-based medical chatbot and a deep learning stroke detection system deployed on AWS. His work focuses on delivering measurable impact through advanced analytics, automation, and data-driven decision-making.

Available to hire

Vedant Kadam is a Data Scientist and Analyst with expertise in machine learning, healthcare analytics, and Generative AI. He holds a Master’s in Information Systems from Syracuse University and has experience building predictive models, scalable ETL pipelines, and data-driven dashboards using Python, SQL, Power BI, and Tableau. Vedant has developed production-ready AI solutions, including a RAG-based medical chatbot and a deep learning stroke detection system deployed on AWS. His work focuses on delivering measurable impact through advanced analytics, automation, and data-driven decision-making.

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Work Experience

Data Analyst at Syracuse University

May 1, 2024 - May 1, 2025

Streamlined database management operations using Python and Excel, increasing data cleaning efficiency by 35% and improving data completeness by 20%, enabling more accurate healthcare market insights. Utilized SQL and Tableau to optimize stakeholder reporting and support HIPAA-compliant analytics; delivered regression analyses and EDA to improve model accuracy.

Data Scientist at Racks Connect

July 1, 2020 - August 1, 2021

Implemented data wrangling and cleaning for large-scale EHR datasets using Pandas, NumPy, and regex, boosting data integrity and preprocessing efficiency by 40%. Designed scalable data models and ETL pipelines with Informatica, improving query performance by 30% and enabling multi-dimensional analysis. Built predictive models using time-series analysis and Python to identify high-risk patients, increasing early intervention accuracy by 28% and reducing readmissions. Created Power BI dashboards for patient flow and appointment trends, improving clinical efficiency by 25%.

Data Analyst Intern at Racks Connect

April 1, 2020 - July 1, 2020

Transformed healthcare analytics workflows to analyze patient care trends and operational inefficiencies, increasing efficiency by 30%. Implemented data models to support extraction and structuring of data from EHR systems, utilizing Informatica for data transformation and data pipelining to enhance integrity by 35%. Built Power BI dashboards tracking KPIs such as patient throughput and wait times, supporting more informed operational decisions.