Eric Kim

» As a data science manager, I help companies leverage their data to solve complex problems using appropriate solutions such as statistical analysis, machine learning, and automation. I'm incredibly fascinated with data and ways to communicate insights/recommendations through visualization and data storytelling. I'm always trying to perfect the most elegant way to present data to stakeholders so that they can make the most data-driven decisions. » My current line of expertise in biotechnology provides analytics for therapeutic drugs and their respective programs for one of the largest biotech companies in the world, Amgen. With Data Science techniques, I create value and access for our patients through applying my skills and experience from the payer side of health insurance to focus on commercial copay programs, Medicare part D phases, and market penetration analysis. » My past line of expertise in healthcare involves risk adjustment programs, member/provider data, HEDIS/STARS initiatives, and pharmacy data. On my free time, I love studying stock market, cryptocurrency, real estate, and eSports related data. My hobbies include real estate investments, interior design, animal welfare, golf, snowboarding, and playing competitive online/board/card games. My Data Science Stack: ‣ Databases: Amazon Redshift, SSMS (SQL) ‣ ETL/Pipelines/Automation: Databricks, Spark, SSIS, Python, APIs ‣ Machine Learning and Analytics: Python, R ‣ Cloud Services: Azure, AWS ‣ Business Intelligence/Visualization/Reports: Excel, SSRS, Power BI, Tableau ‣ Prototypes/UX/UI: Figma » Resume, Portfolio, and Blog: kimanalytics.com » GitHub: github.com/kimanalytics » E-mail: [email protected]