Aug 2021 – Apr 2023 · 1 yr 8 mos · Remote

Oct 2020 – Jul 2021 · 9 mos · Austin, Texas, United States · Remote

• > Developed custom data-driven decision support tools in partnership with stakeholders from
• internal teams such as Infrastructure, Finance, and Network Performance.
• > Designed next-generation time series forecasting tool for multivariate long-range forecasts
• across thousands of customer/product subsets using state-of-the-art deep learning methods
• > Created a simulation tool to estimate lead times and resource utilization for hundreds of
• simultaneous network upgrades across the globe, with a user-friendly interface to modify
• assumptions and business logic on the fly
• > Worked with Data Engineers and Machine Learning Engineers to ensure data pipelines and
• ML platforms meet the needs of our data science use cases

Dec 2018 – Oct 2020 · 1 yr 10 mos · Dallas/Fort Worth Area

• > Advance the forecasting state-of-the-art to drastically enhance granularity, accuracy, and accessibility
• > Adapt new methods to enable realistic short-term forecasting during the COVID pandemic
• > Design experiments to evaluate the causal impact of targeted interventions
• > Collaborate with business leaders to scope and develop novel data products that enhance decision-making
• > Disseminate data science best practices across the organization

Sep 2016 – Oct 2018 · 2 yrs 1 mo · Dallas/Fort Worth Area

• > Predict health outcomes to enable providers to make better decisions
• > Collaborate with clinical leaders to assess needs and design innovative machine learning solutions
• > Work with colleagues across the organization to deploy models into production systems
• > Build and maintain data pipelines to integrate diverse data sources

Oct 2015 – Sep 2016 · 11 mos

• > Developed predictive analytics to help healthcare providers close care gaps and manage the health of the communities they serve
• > Identified targets for continuous improvement by applying statistical methods to big data
• > Worked with database team to design a true analytical data warehouse environment, improving the speed and accuracy of analysis
• > Prepared, visualized, and interpreted preliminary analyses for client-facing teams
• > Ensured client analytic needs were met, with a focus on demonstrating program value and identifying actionable opportunities for improvement

Nov 2013 – Oct 2015 · 1 yr 11 mos · Dallas/Fort Worth Area

• > Provided data and analysis on operational and student achievement metrics for about 900 teachers and staff, enabling data-driven decisions in instruction, central management, finance, and performance improvement
• > Predicted outcomes to pinpoint academic interventions based on a novel, adaptive model of student outcomes
• > Expanded data model to improve access, quality, and depth of offerings
• > Created and iterated dozens of Tableau dashboards, visualizing and securing student, teacher, and aggregate data integrated from dozens of distinct sources
• > Wrote complex queries for ad-hoc data requests and created effective custom reports
• > Contributed to SQL Server maintenance and Tableau Server administration
• > Trained staff throughout the organization to explore and make sense of data, in-person and online via LMS
• > Shared innovative techniques at professional conferences including Harvard’s Strategic Data Project, SAS Global Forum, and Tableau 2015

Jul 2011 – Sep 2013 · 2 yrs 2 mos

• > Counseled caseload of about 500 students concerning academic difficulties, degree planning, and financial aid
• > Worked closely with faculty to manage course enrollment and emergent student issues
• > Designed data collection procedures to focus interventions and fine-tune service

Jan 2006 – Aug 2008 · 2 yrs 7 mos

• > Contributed to econometric analysis on sustainable development in Brazil
• > Co-authored book chapter on the relationship between industrial pollution and tourism in "Economic Development and Globalization" with Dr. Samuel Cohn
• > Reviewed and synthesized research articles