Responsible for the strategic management of the Astrana Health data lake. Lead a team of highly technical data engineers, data architects, and analytics engineers.Responsible for roadmap creation and alignment of said roadmap with C-Suite level executives and other senior operational and clinical stakeholders.Technical Stack:SQL, Python, Pandas, PySpark/Spark, AWS, Databricks

Lead the end to end/zero to one design, development, and deployment of Curation Health's self service analytics platform that has scaled to multiple hundreds of thousands of lives.Lead the end to end/zero to one design, development, and deployment of Curation Health's NLP engine.

- I lead the end to end design, development, deployment, and management of Curation Health's business intelligence, NLP, and machine learning solution suite from both a product and software engineering lens.- Responsible for the development and maintenance of the AI & analytics roadmaps.- Responsible for the architecture of the analytics & AI system.- Responsible for the creation of the analytics software development lifecycle.- Technical stack includes: -- Python -- SQL -- Git -- Docker -- Jenkins -- Bash scripting

- Lead the end to end development, deployment, and management of Curation Health's business intelligence reporting suite from both a product and engineering standpoint.- Technical stack includes: -- Python -- SQL -- Git -- Docker -- Jenkins

Technical Stack/Skills:PythonElasticSearch/KibanaWeb Scraping - Scrapy/BeautifulSoupBash ScriptingNLP

Analytics Technical Stack: 1. SQL 2. Python (Pandas, Numpy, Scikit-Learn) 3. ExcelBroad Experience:1.) Process Automation--Utilization of multiple languages (SQL and Python) to automate manual data cleaning and formatting processes. 2.) Financial Modeling--Use advanced Excel functions to build pricing models for multiple teams. Pricing models used to project price points for a wide variety of prospective clients.3.) Operational Reporting--Use Python, SQL, and Excel to build and deploy automatic reports that deliver actionable insight to end users.Healthcare Specific Experience:1.) Risk Adjustment Services--Prospective and retrospective risk adjustment experience across multiple lines of business (Medicare Advantage, ACA, Medicare Shared Savings Programs, Medicaid). Experience working with claims, eligibility, & provider data.2.) RADV (Risk Adjustment Data Validation) Audit.--End to end HHS RADV experience. --Created targeted chase list to predict highest value medical charts to be retrieved in order to maximize ROI.3.) Quality Services--Experience with Quality measures across Medicare Advantage (STARS, including HEDIS) as well as Medicaid populations.

Experience with:1.) Prospective and retrospective risk adjustment operations, including knowledge of CMS submission systems across lines of business (Medicare Advantage, ACA Exchange, NGACO).2.) Analytics and KPI report generation. 3.) RADV (Risk Adjustment Data Validation) Audit experience.4.) ETL experience with data in varied formats.Technical Skills:SQL, SAS, and Python experience.

Data collection, cleaning, and analysis. Analyzed data to help reduce inefficiencies present in the Instructor Engagement and Quality Assurance departments.Tools Used: SQL, Excel, Access, Google Fusion Tables