- Use causal inference to evaluate various interventions on maternal health outcomes - Lead the development of the research agenda, including preparation of manuscripts for conferences and publication - Provide ad-hoc data science solutions related to maternal health such as improving risk scoring models, anomaly detection of gestational age, and NLP for CPT and ICD codes

New York University | Sep 2018 - Present

Adjunct Faculty

Teach business analytics courses in the M.S. Marketing program

City of New York | Dec 2015 - Mar 2022

Data Scientist

- Led development, production, and automation of various reports and dashboards - Built end-to-end data pipelines from SQL tables, to analytics in R, to final reports - Used predictive modeling and analytics on millions of records to inform leadership decision making - Developed, analyzed and automated citywide surveys (i.e., NYC Engage, WISE Survey) - Used data analytics and machine learning techniques (i.e., GLM, ARIMA) to help implement new policies - Conducted program evaluation of various initiatives and was able to show 10-20% improvement in KPIs and key outcomes - Sample project: https://dcas.shinyapps.io/workforce_planning_retirement/

Columbia University in the City of New York | Sep 2016 - Aug 2018

Lecturer

- Teach risk management courses in the Enterprise Risk Management (ERM) master's program

My Education

Take a look at my formal education

PhD, Risk Management and InsuranceTemple University - Fox School of Business and Management | 2015

M.S., Enterprise Risk ManagementSt. John's University | 2011

B.S., MathematicsNew York University - Polytechnic School of Engineering | 2010

Create Your Data Portfolio for Free