Data Analyst at the UCLA Center for Health Policy Research, specializing in programming, data management, and statistical analysis across national, state, and local administrative and survey databases. My role involves:- Client consulting: developing and coding statistical analysis, generating data visualizations, statistical interpretations, etc- Project management: overseeing small team or working independently on year-long projects for outside stakeholders and funders- Data management & quality control: receive raw data from third-party vendors and processI work extensively with the following programs:- Python (4 years) - Data manipulation/analysis, visualization, statistical/mathematical analysis: Pandas, NumPy, Matplotlib, SQLAlchemy, SciPy, PySpark, Pytest, etc- SAS (4.5 years) - Data management/manipulation, statistical analysis, data visualization, data extraction: PROC SQL, ODS, PROC LOGISTIC, etc- R (5 years) - data manipulation, visualization, statistical analysis, machine learning and predictive modeling: dplyr, plyr, tidyr, gdata, haven, shiny, etc- SQL (4 years) - - Stata (6 years) - data management & cleaning, statistical analysis & modeling, survey data analysis, data visualization- Excel (8 years) - data management (pivot tables, filter/sort), LOOKUP functions, math/statistics, visualization, Power Query, VBA, dashboards, data cleaning, etc.In addition, I am pursuing a remote, part-time MS in data analytics at Georgia Institute of Technology with experience in:- Optimization models- A/B testing- Experimental design & model construction- Simulations- Machine learning & neural networks