Jan 2021 – Jul 2022 · 1 yr 6 mos

• Communicate with customers to understand use cases and evaluate high impact features for product roadmap - Work as part of three Agile Scrum teams: Engage with project management, internal and external stakeholder, partner with data pipeline engineers to productionize code for customer facing products
• Become resident data expert to evaluate data quality in pipeline outputs and own bug tickets to resolution
• Develop alerting features that impact patient safety through predictive modeling and increase medication savings over time through cost monitoring models
• After demonstrating excellent programming skills and a strong understanding of the medication management process, I was promoted to a Senior Analytics Engineer role

Feb 2020 – Jan 2023 · 2 yrs 11 mos

• Multidisciplinary team lead, focused on developing stakeholder trust and providing actionable insights by designing high impact KPIs, automated reporting tools, and providing algorithmic recommendations for program improvement
• Implemented machine learning models such as multi-objective optimization algorithm, NSGA-II, for cost savings initiatives, high dimensional clustering for peer group analysis using distance matching techniques, and spaCy’s NER model for text classification
• Own development pipeline of R Shiny applications for cloud platform with more than 100 active users, including data transformation and validation, application optimization and styling, containerization, and version deployment in testing and production environments
• Provide cloud platform support for over 10 features in production and over five features in active development

Feb 2020 – Jan 2021 · 11 mos

• Perform data exploration and analysis using R and SQL with customer data in the cloud to develop reporting metrics and provide actionable insights
• Create scalable R Shiny dashboards through development of a modularized R package within UI/UX framework

Oct 2019 – Feb 2020 · 4 mos

• Design R package for A/B testing of marketing strategies in retail stores by implementing full analytics pipeline from randomization, designing model to control for external variables such as store size and current sales targets, validating results, and building an automated Tableau dashboard to communicate strategy effectiveness to stakeholders

Jan 2019 – Jun 2019 · 5 mos · Pittsburgh, PA

• Served as a graduate teaching assistant for the Spring 2019 semester in the course BIOST 2043: Introduction to Statistical Theory, holding weekly review sessions, grading homework, and offering one-on-one sessions.

Aug 2016 – Feb 2020 · 3 yrs 6 mos · Pittsburgh, PA

• Worked as a statistician on projects with collaborators of both statistical and non-statistical backgrounds. Focus on issues such as opioid mortality, social determinants of health, and geospatial analyses. Responsibilities included for cleaning data, planning and executing analysis, and presenting the results to the appropriate stakeholders.

Jan 2017 – Dec 2020 · 3 yrs 11 mos

• Provided personal tutoring for students in courses ranging from undergraduate statistics to graduate statistical theory, and applied statistical methods.

Jun 2012 – Aug 2016 · 4 yrs 2 mos · Pittsburgh, PA

• Office of the Senior Vice Chancellor for Health Sciences and Dean of the School of Medicine