Ruth Li Email & Phone Number

Lead & coach a team of data scientists, ML analysts to enable macro and micro level forecasting as well as automated spend process in Finance. Some of the problems we're tackling include:* Improve forecast accuracy through bottom-up batch forecasting, solving sparse time series data challenges* Enhance interpretability of reports through SL/ML like anomaly detection, driver analysis, etc.* Drive strategic discussion through deep dive analysis with appropriate statistical approaches

· Managed full life cycle of automated data analytics solution implementations; led analytics team in the identification of business requirements, functional design, process development, testing, deployment, post-production support/maintenance, documentation, and end-user training· Involved in development and delivery of trainings in statistics, programming, data preparation, machine learning, data visualization, etc. to diverse audiences· Led R&D efforts in designing machine learning driven revenue forecasting methodologies which has been implemented by 5+ clients

· Developed ETL procedures using SAS and SQL to prepare data from different information systems, which improved efficiency of journal entry analysis and fraudulent detection for over 40 clients· Applied Dynamic Time Warping (DTW) algorithm in sales data analysis to identify abnormal performances and used price volume mix model to reveal underlying causality· Designed, tested, and maintained 20+ interactive dashboards in Tableau based on user requirements, covering topics such as competitor analysis, warranty risk det

• Collected and compiled large data sets containing behavioral information and grades of 20,000 children. Conducted extensive data-cleaning procedures to ensure the integrity and standardization of data from dispersed sources.• Performed statistical analyses to evaluate the effectiveness of Treehouse’s various programs. Formulated reports with narratives, charts and tables customized for various constituents, including Board and program-level managers.• Enhanced the organization’s data processing infrastructure by replacing its obsolete manual process with an automated and streamlined process, utilizing advanced database and information systems tools including Excel and VBA templates, Access database, SPSS, and MS Dynamics.• Provided technical documentations for ongoing system maintenance and easy transfer of technology know-how.

• Developed an AI-driven, cognitive empathy applied Financial Platform using Knime and Python for our client.• Helped the client to understand how the Machine Learning Algorithms work and provided problem solutions.• Standardized the unstructured data frame and built predictive models.

Master'S Degree, Statistics

Bachelor Of Science - Bs, Mathematics