Harsh Bhanderi
Healthcare Data Engineer @ University of Michigan | Data Management | SQL, Python, AWS, SAS
- Role
- Database Analyst Programmer - Department of Internal Medicine at Michigan Medicine
- Location
- Austin, TX, US
- LinkedIn followers
- 500 followers
About Harsh Bhanderi
Results-driven Data Professional with a Master’s in Data Science and 5+ years of experience spanning database management, data engineering, and advanced analytics. Skilled in designing and optimizing SQL/Python pipelines, building interactive dashboards, and managing large-scale clinical, financial, and trading datasets. Experienced in ensuring data governance and compliance (HIPAA, GDPR, IRB) while partnering with cross-functional teams to deliver actionable insights. Proficient in cloud platforms (AWS, GCP, Azure), ETL workflows, and BI tools (Tableau, Power BI, Qlik). Adept at transforming complex data into strategic solutions that improve decision-making, operational efficiency, and business outcomes.Programming: Python, R, SAS, Java, C++, JS, PHP, Swift, BashMachine Learning & AI: scikit-learn, TensorFlow, PyTorch, NLP, Deep Learning, Time Series Forecasting, Predictive ModelingData Analytics & Statistics: Regression, Hypothesis Testing, Bayesian Methods, Probability, Experimental DesignDatabases & Data Engineering: Oracle, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Redshift, AWS RDS, ETL, Data Modeling Visualization & BI: Tableau, Power BI, Qlik, SAP Business Objects, matplotlib, seaborn, PlotlyData Governance and Compliance: IRB, HIPAA, GDPR, Data Security & EncryptionCloud Computing: AWS (S3, Redshift, SageMaker), GCP (BigQuery, Vertex AI), Azure (Synapse, ML Studio)
Experience
Database Analyst Programmer - Department of Internal Medicine
Oct 2023 — Present · Ann Arbor, MI, US
Work with stakeholders, team members, and end users to identify and understand HMS clinical data collection needs, challenges, and opportunities- Prepare data collection tools for collecting data from hospitals in Michigan- Building reports, graphs, or dashboards for research with user-friendly data visualizations that are effective in increasing awareness among end-users and clinicians- Writing, testing, and implementing programs to clean, merge, analyze, and maintain large complex datasets- Preparing and maintaining technical documentation of data and analysis files- Maintain, clean, and organize datasets for statisticians- Collaborate with internal teams and external vendors in the design, implementation, testing, and deployment of technical data collection and specifications.
Education
L.D. College of Engineering
Bachelor's degree, Information Technology
University of Maryland Baltimore County
Master of Science - MS, Data Science
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