Sandhya Kilari
Intermediate Business Intelligence Analyst Data Analyst @University Of Michigan School Of Dentistry
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WORK HISTORY
Intermediate Business Intelligence Analyst Data Analyst @University Of Michigan School Of Dentistry
Ann Arbor, MI, US
Assists in data management, automation, virtualization, and integration efforts- Develop and present data analytics solutions and datasets, dashboards, and other visualizations- Develop organizational understanding of the business of patient care, education, research, and related processes and information sources- Functional and technical coordination of projects- Other systems projects as assigned for support, data delivery, and interoperability.
EDUCATION
Michigan State University
Master of Science - MS, Data Science
Camford English High School
Secondary Education
Sree Vivekananda Junior College
Intermediate, MPC
Siddaganga Institute Of Technology
Bachelor of Engineering - BE, Electronics and Communication Engineering
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 k••••••••@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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