Sandhya Kilari

Intermediate Business Intelligence Analyst Data Analyst at University Of Michigan School Of Dentistry

Based in Ann Arbor, United States

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Seniority

Other

Department

Other

Location

Ann Arbor

Industry

Hospitals and Health Care

Company size

528

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Background

About Sandhya Kilari

I turn raw data into clear insights that make a difference. With 4+ years of experience in data science and engineering, I have built machine learning models, automated ETL workflows, and designed dashboards that improve decision-making. My work spans healthcare, education, and nonprofit sectors—driving projects from concept to impact. At the University of Michigan School of Dentistry, I manage 10+ Tableau dashboards that drive clinical and administrative decision-making. I design and maintain Apache Airflow DAGs to automate data extraction from platforms like Scopus and Qualtrics via APIs, integrating this data into MiDent, the school’s enterprise data warehouse. I also extract and transform clinical and imaging data from AXIUM (EHR system) and MiPACS (dental imaging system) using MySQL, Oracle SQL, PostgreSQL, and Python to support 15+ research initiatives. Partnering closely with clinicians and administrators, I translate complex requirements into BI dashboards that improve care coordination and reporting efficiency. At Michigan State University, I apply data science techniques to support academic and research. One of my recent models predicts cancer patient outcomes with an AUC of 0.92. I have contributed to multiple funded projects, leading efforts in data collection, wrangling, and predictive modeling to generate actionable insights from complex datasets. Previously at Accenture, I improved enterprise app performance by 30% using SQL Server and Azure DevOps. I also led automation projects that sped up workflows by 20% and reduced downtime by 15%. At QSIDE, I developed a grant discovery platform for Native communities using AWS, GCP, and NLP techniques—cutting search effort by 40%. I enjoy solving real-world problems by automating reports, building models, and making data accessible to everyone. Outside of work, I explore tools like Streamlit and Docker, mentor peers, and participate in datathons. If you’re working on data projects that drive innovation or impact—I would love to connect at ksandhya1298@gmail.com! Skills: Python | SQL | Power BI | Tableau | Azure | AWS | GCP | Machine Learning | NLP | Predictive Modeling | A/B Testing | Docker | ETL Pipelines | Data Engineering | Git | Streamlit | SQL Server | C#| R

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