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Dina Koes - Navy VeteranGreeley, CO PHONE NUMBER AVAILABLE EMAIL AVAILABLE www.github.com/Rocket3012SummaryData Scientist and Navy Veteran with extensive expertise in data warehousing, big data frameworks, and healthcare databases. Proven track record in building efficient ETL processes, optimizing SQL queries, and managing large datasets. Adept at leveraging cloud platforms, automating workflows, and ensuring HIPAA compliance in healthcare environments. Seeking to utilize skills in data architecture, data integration, and advanced analytics to drive business decisions and operational efficiency in healthcare.TECHNICAL SKILLSData Warehousing & ETL: SQL Query Optimization, Data Modeling, Snowflake, Databricks, Hive, HadoopData Integration: ETL Automation, Data Pipeline Development, Integration of Healthcare Datasets, Cloud Storage SolutionsHealthcare Data Expertise: Open Dental, HIPAA Compliance, Data Security, Procedure Code AnalysisProgramming: Python, R, SQLCloud Platforms: AWS, Google Cloud (Drive API), AzureBig Data & Databases: Spark, Hadoop, NoSQL (MongoDB, Cassandra), MySQLMachine Learning & AI: TensorFlow, PyTorch, Scikit-learnVisualization: Power BI, Matplotlib, Seaborn, PlotlyTools: Jupyter Notebook, Git, Jira, Microsoft SuitePROFESSIONAL EXPERIENCEConsulting Data ScientistHonest Dental Remote Jan 2023  PresentDesigned and implemented ETL processes to automate healthcare data workflows, integrating datasets from Open Dental, fee schedules, and patient records.Optimized complex SQL queries in Open Dental to enhance performance, reducing data retrieval times by 25%.Developed HIPAA-compliant cloud-based backup systems using Google Drive, automating daily data synchronization without overwriting, ensuring data security and integrity.Built Power BI dashboards to visualize key healthcare performance metrics, improving clinic management's decision-making process by delivering real-time insights.Data ScientistPhyrn Remote Jan 2022  Dec 2022Led the development of machine learning models to forecast customer behavior and reduce churn, improving prediction accuracy by 15%.Architected a scalable data warehouse in Snowflake to support real-time analytics, decreasing query times by 20%.Integrated data from multiple sources using Databricks to create a unified data platform, enabling faster and more accurate business insights.Research AssistantSan Diego State University Research Foundation San Diego, CA Sep 2020  Dec 2021Performed data analysis and modeling on large academic datasets, developing actionable insights through data visualization and statistical analysis.Automated data collection and preprocessing pipelines using Python, significantly reducing manual workload for the research team.Gunners MateUnited States Navy San Diego, CA Aug 2014  Aug 2019Led team operations involving secure communications and logistical planning, aligning operational protocols with strict compliance requirements.EDUCATIONMaster of Science in Data ScienceUniversity of Denver Denver, CO June 2024Bachelor of Arts in Industrial/Organizational PsychologySan Diego State University San Diego, CA December 2020PROJECTSOpen Dental Data Automation & ReportingDeveloped SQL queries and scripts to optimize patient reminder systems and manage appointment schedules, reducing patient no-shows by 10%.Implemented a secure, automated daily backup system using Google Drive API, ensuring seamless data synchronization while maintaining HIPAA compliance.Machine Learning Models for Healthcare AnalyticsBuilt machine learning models using Scikit-learn and TensorFlow to predict patient health outcomes based on demographic and clinical data, aiding in the early detection of high-risk cases.Power BI Dashboards for Healthcare ReportingDesigned interactive Power BI dashboards that provided real-time insights into clinic performance, enabling providers to make data-driven decisions.LANGUAGESEnglish (Fluent)Russian (Fluent)Ukrainian (Fluent)