Ming Cong Email & Phone Number

Long Beach, Ca, Us

Irvine, Ca, Us

Reinforcement learning focused

Irvine, Ca, Us

El Segundo, Ca, Us

* Responsible for leading personalization algorithm development in health vertical at Internet Brands. This includes WebMD and Medscape.com* Responsible for optimizing legal lead generation, value audience retargeting within legal vertical at Internet Brands. This includes Avvo.com, nolo.com and laywers.com

El Segundo, Ca, Us

• Built personalized content feed recommendation system using collaborative filtering based and content based algorithms including ALS, VAE, SAR and feature-rich deep learning algorithms• Built ML model for customer churn prediction in email marketing • Built programmatic header bidder price floor model to determine if recent header bidding data can be used to predict the monetary value of incoming Ad impressions for WebMD.

El Segundo, Ca, Us

• Data science and engineering for various optimization problems across multiple verticals• Built large-scale personalized recommendation system• Built image classification and segmentation models for gallery related products• Built customer preference model into Smart Schedule project for health vertical• Faster deployment of machine learning models to production

Long Beach, Ca, Us

• Conducted statistical analysis by finding an appropriate statistical model based on research questions from a consulting project• Acted as an associate researcher and team member in numerous consulting projects and provided statistical support for faculty, staff and students• Utilized SAS, R, SPSS to manage data and perform data analysis• Selected Consulting experience:o Evaluating the effectiveness of the Modified Emergency Warning Score (MEWS) algorithm as a tool to enhance staff nurses’ ability to identify patients at risk for significant clinical instabilityo Data analysis to examine self-efficacy, self-regulation and their relationship to overweight patients who utilize a health coacho Data analysis for the substance abuse treatment: an overview of relapse prevention efficacy

Long Beach, California, Us

• Data Analysis from IRB-Approved Wound Score Research Project• Attended weekly research meetings and provided data analysis to be used for three wound scoring related paper• Implemented statistical methods (correlation, chi-square test, ANOVA, etc.) and determined statistical significance of over 60 columns of information for nearly 100 patients• Related Research Papers:o An innovative wound score and its versatility for scoring a variety of wound types and locations in addition to diabetic footo The Incidence of Confounding Factors in Diabetes Mellitus Patients Hospitalized for Diabetic Foot Ulcerso The Validity of Transcutaneous Oxygen Measurements in Predicting Healing of Diabetic Foot Ulcers

Master’S Degree, Mathematics And Statistics

Bachelor’S Degree, Information And Computation Science

Education record