Ning X. Email & Phone Number

San Francisco, CA, US

Predictive modeling Machine learning Marketing - Customer Acquisition, Channel Optimization

Columbia, Maryland, US

For a leading renewable energy company, - built and implemented targeting models to predict direct mail converters; - implemented direct mail campaigns throughout the whole process, including list refreshment, model scoring, target selection, final file preparation and quality control; - maintained KPI dashboards on Tableau server and optimized the queries.

Columbia, Maryland, US

- For a pet insurance company, optimized digital channel spends, created segmentation to aid a new mobile App rollout; created customer profiles, mined churn customer behaviors to modify retention approach, and optimized call center operations through call analysis- For a major global vacation ownership company, built a model to predict timeshare upgrade.

New York, NY, US

I believe the best way to learn and/or strengthen knowledge is to teach. I led a lab session for the class Python Programming for Lawyers at Fordham School of Law. By lecturing, tutoring and advising of learning strategies, I helped ~30 law students with no prior programming experience grasp basic programming skills within 2 months.

Miami, FL, US

Projects:- Natural Language Processing (NLP) using streaming data from social media for opinion mining of airline brands (tf-idf, sentiment analysis, feature extraction);- Exploration of statistical and data mining methods to mine air fare information, especially air fare codes, to facilitate optimization of search engine products;- Execution of other data.

Boston, MA, US

• Primary investigator of a research project on information retrieving in oral reading, especially on understanding the mechanisms of semantic substitutions in Chinese reading
• Conducted literature review, designed new experiments
• Conducted experimental sessions and collected primary data
• Administrated data entry and data analyses with SPSS

Hangzhou, Zhejiang, CN

• Implemented statistical analyses on consumer behavior data, built RFM model for product users and conducted survey on target audience demos/activities/interests;
• Collected competitor products information on main social network, monitored product features, new partnership and user interactions;
• Conducted analyses using statistical tools, prepared monthly data reports and presentations on the main NetEase products.

East Lansing, MI, US

• Worked as a research assistant in Well-being and Personality Lab at MSU
• Administrated data entry and data management with Microsoft Office Suite
• Organized daliy experimental sessions, awarded credits to participants, and conducted general organization of 300+ participants
• Contributed to the research team in literature review and discussion on the design of new experiments.

Master’S Degree, Computer And Information Sciences, General

Master Of Arts (Ma), Psychology

Bachelor Of Science (Bs), Psychology