Axiom Health is a data technology company that helps MedTech commercial teams get evidence-based, data-driven answers to their daily questions.Built for MedTech industry, our platform organizes, enriches, and makes predictions with data to help our customers learn from the past, understand the present, and predict the future state of the MedTech market. By providing answers based on specific MedTech market segments, they can make fact-based decisions for each clinical program — in minutes, not weeks. With Axiom Health, getting trusted answers to MedTech questions just became easier, faster, and more accurate.On the Data Science team, I work with refining and unifying many sources of medical and insurance data, as well as building relevant and novel ML models with said data.

Analytics Product Manager and Data Science Team LeadDeveloped AI use cases and products around converting spectroscopy data into biomarker concentrationsResponsible for defining modeling roadmap and execution, creating internal analyses products to assist hardware and spectroscopy teams, and growing analytics team across data science, engineering, and ML expertise

Led teams of client and consultant data scientists on machine learning other predictive analytics projects for insurance and financial service clientsResponsible for end-to-end development of MVP ML products, from identifying business problem to model build and executionBuilt out client-side Data Science and Analytic teams focused on innovation and finding novel applications for AI and ML

Worked alongside Economists in the Applied Microeconomic Division of the FRBSF's Economic Research Department on projects and publications in academic research, and relevant Microeconomic policy topics Performed statistical analysis ranging from filtering and dimensional reduction (Kalman Filter/Smoother, PCA) to specialized data-specific techniquesDeveloped automated processes for updating largescale sets of panel data, and generating analyses and external monthly/quarterly reportsAuthored and Co-authored publications on sector analyses of inflation, and panel-studies on financial returns of college degreesGuided team of Research Associates on large-scale research efforts and data projectsLed Research Associate interviewing and onboarding

Healthcare Division Business Analyst Built data models and developed software solutions for hospital staffing across 15 pilot hospitalsAutomated processes for cleaning and analyzing hospital staffing data, and aggregating across different hospitalsLiaised between the hospital staff, software development team, and platform designers throughout a staffing software pilot process

Researched and wrote a paper on a novel quantitative measure for calculating the significance of sequential patterns. -Nominated to the Conference of REU Student Scholarships for Best National Science Foundation REU program accomplishments