Weilong Hu

• 10+ years of experience in advanced analytics, statistics, machine learning, and stochastic simulation.
• Comprehensive knowledge in predictive modeling, machine learning, deep learning, natural language processing, recommendation system, design and analysis of experiments, stochastic modeling, Bayesian statistics, time series analysis, and data visualization. Specialization: semi-supervised learning; active learning; unsupervised learning; imbalance learning and statistical inference. Strong programming skills in Python, MATLAB, R, SAS, SQL.

Ernst and Young US - Assistant Director, Lead Statistician Aug 2020 - Present • Design processes for repeatable analyses with a focus on efficiency, automation, risk mitigation, and quality controls. • Work as the principal investigator to build explanatory and predictive models using statistical and machine learning methods in the areas of audit risk, staffing needs for engagements, monitoring, and other areas. • Develop leading practices for all phases of the analytics development cycle such as conceptualizing the analysis, determining data requirements, identifying and solving issues, reporting, and clearly communicating results. • Consult on statistical matters for engagement teams using in-depth knowledge of statistical theory. • Communicate progress, barriers, risks, and benefits to team members and clients to achieve project success. • Lead statistical and advanced analytical projects and manage junior team members to deliver quality analyses. • Manage and motivate teams of professionals with diverse skills and backgrounds. Provide mentorship and performance feedback to junior team members.
CCC Intelligent Solutions - Senior Data Scientist Sept 2017 - Aug 2020 • Design and implement machine learning and deep learning algorithms using both structured and unstructured data: images, videos, text, and tabular data. • Lead a team of data scientists and engineers to build predictive capabilities for software products. • Deploy state-of-art AI solutions to transform and modernize the auto insurance claims process.
• Present technical findings to the R&D community and non-technical business partners.

Ph.D. University of Massachusetts-Amherst, Statistics Feb 2020
M.Sc. University of Massachusetts-Amherst, Statistics Sep 2017
M.Sc. University of Massachusetts-Amherst, Computer Science Feb 2017