Parawee (Nicky) Lekprasert Email & Phone Number

Seattle, Washington, United States

• Consulted for Rasgo Intelligence, LLC. on building feature repository for clients in extended domains to model COVID-19 impacts to their business • Ideated and engineered time-series features for modeling and forecasting in post-COVID world, resulting in ready-to-use features to accelerate modeling for faster actionable insights• Developed a forecasting model for grocery store foot traffic, using Random Forest and COVID-19 features, which reduced errors by 8%.

Bangkok Metropolitan Area, Thailand

• Lead data-driven research to assess national gender gap across education and career continuum. Gather and analyze multiple sources of data, and make recommendation for policy and action plans to improve equity and inclusion, as part of UNESCO’s global SAGA (STEM and Gender Advancement) project• Analyze scholar data and make recommendation for revised database and data process to improve effectiveness in monitoring and retention in the program• Initiate data-driven project to provide personalized development plan to learners for skill development and career preparation• Manage the design process of online tool and system to monitor and evaluate progress in implementing new educational strategy at a national level • Conduct analyses to provide recommendations to executives and cross-functional teams in strategizing and evaluating policies and projects• End-to-end development of educational products, including metrics and evaluations, to improve learning experiences and outcomes for all• Collaborate with multiple levels of stakeholders to promote quality and inclusive education• Build public-private partnership to promote technology-led and integrated STEM learning

Durham, Nc, Usa

• Perform statistical analysis of high-throughput data to demonstrate utility of new features in increasing robustness of gene target predictior• Build Regression model to predict targets of genome-wide regulators with improved performance• Apply Multivariate Markov modeling inference framework to integrate multiple data sources to predict gene targeting event. The tool outperforms existing approaches and quantifies the prevalence of new target type (publication in journal with impact factor 25.95)

Doctor Of Philosophy (Ph.D.), Computational Biology And Bioinformatics

Certificate, Teaching College Biology

Bachelor Of Science (B.S.), Biochemistry And Molecular Biology