SUMMARY:

Green card holder, PhD in Management Science and Information Systems, 12+ years of work experience in Machine Learning/Predictive model development and optimization, Deep theoretical knowledge and practical experience with DL and ML, Extensive experience in Python and AB Testing, Extensive backgrounds in data science, quantitative fields and optimization

COMPUTER AND STATISTICS SKILLS:

Statistical Background: Mathematical Statistics, Econometrics (SAS and Gauss, SPSS, RATS)

Computer Languages: Python, SAS, Java, VC, VB, PHP, Matlab, UML, XML, .NET, VBA

PROFESSIONAL EXPERIENCE

Senior Data Scientist and Machine Learning Engineer

Confidential

Responsibilities:

• Working on recommendation and NLP algorithms.
• Develop algorithms to cluster the question bank of K12 education, and make personal recommendations for every student and teacher.
• Over 300 million questions and answers are processed, and several products were developed.
• Python and NLP algorithms were extensively developed and used.
• Produce high quality labels for various contents to provide users the best recommendation experience and realize predictive targeting.
• Understand product objectives and take full advantage of modern machine learning and information retrieval techniques to improve recommendation and search quality and perception.
• Key member in the core models and algorithms development including content demand understanding, content labeling and ranking, content recommendation, system reliability, and etc.
• Improve the accuracy of converting word files containing complex math formulas from 60% to above 99%;
• Develop and optimize recommendation and NLP (natural language processing) algorithms for short video recommendation.
• Develop algorithms to cluster and segment the users in the internet community, provide virtual incentives to promote the creation of short video, and make personal recommendations for every user.
• ver 10 million short videos are produced by the users and these short videos are distributed by the algorithms.
• Develop algorithms to understand the content of the short videos, and understand the users, and provide optimal strategies to match the content and the users based on historical action (click, play, full play, favor, share, follow, comment, return, etc.) data and user/content portraits.

Senior Data Scientist and Machine Learning Engineer

Confidential

Responsibilities:

• Develop highly scalable classifiers and tools leveraging machine learning; improve model and recommendation strategy
• Understand users’ behavior and apply ML algorithms to optimize content consumption experience.
• Multiple research projects in Big Data, AI and Blockchain: Work with large, complex data sets.
• Solve difficult, non - routine analysis problems, applying advanced analytical methods as needed.
• Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Build and prototype analysis pipelines iteratively to provide insights at scale.
• Develop metrics and advocate for changes needed for research and product development.
• Make recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings.
• Expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods, and predictive modelling.

Senior Data Scientist and Senior Manager in Big-Data Analytics

Confidential

Responsibilities:

• Lead go-to-market strategy for ever-evolving brands and products in Confidential, with a focus on targeting capabilities and AI strategies.
• Shape the new way of shopping, explore the next generation of shopping experience in the community.
• Instrumental in setting go-to-market strategy in e-markets like Tmall and Taobao marketplace and ensuring automatic execution and operations against the strategy.
• Partner closely with sales team to deeply understand businesses targeting pain points, form business requirements and prioritize solutions to influence the direction of product development and market strategy develop and execute personal and regional programs and initiatives, give recommendations from insight to drive best practice.
• Capitalize on the organic shopping behaviors and facilitate retentive behaviors to provide more business value.
• Build delivery services for Confidential, including ads targeting, indexing, recall, click and convert prediction, etc. Build machine learning solutions for Gome ads ranking and provide personalized targeting capabilities. Focus on core ads product (delivery, targeting, bidding/budgets, and optimization), to ensure the highest, sustained monetization of Gome operations. Work on the core ads flow, such as projects around how to start and design ad requests, and how to decide what ads will be shown to users.
• Build ML driven products that help advertisers identify the best customers for their products to maximize their return on investment.
• With deep understanding of ad tech and the measurement space, including direct response and brand advertising.
• Responsible for the product design and life-cycle managements for visualized predictive modelling and analytics tools. Own features and experiments end-to-end, including writing product specs, making thoughtful product decisions along the way, and sharing insights and results throughout the company.

Senior Data Scientist on Risk and Optimization

Confidential, MI

Responsibilities:

• Senior algorithm expert and chief data scientist in price and revenue optimization projects for automobile loans.
• Conduct demand forecasting and measure price elasticities, so that price and revenue are optimized based on these metrics.
• Develop quantitative models to analyze data and predict loss.
• Conduct portfolio and dashboard analysis in many important dimensions.
• TeraData, SAS, and mathematical models are used extensively.
• Work proficiently with SAS macro, datasets restructuring.
• Python, SAS Base, STAT, Macro, SQL, JMP are extensively used.
• Key member in the risk scoring project for automobile loans.
• Develop credit scorecards and apply the probability of payment (POP) model.
• Data are collected and input variables are prepared. Variables are clustered and screened.
• Logistic models are fitted for different FICO bands of US retail and lease products.
• Model performance is measured and evaluated. Python, SAS Base, STAT, Macro, SQL, and JMP, Excel are extensively used.
• Hands-on experience with Python, SAS, VBA to mine, transform and visualize data.
• An understanding of data in a complex enterprise system landscape, including data governance and quality.
• Communicate clearly and concisely across multiple audiences and partners.

Senior Machine Learning Engineer on Business Intelligence

Confidential, Texas

Responsibilities:

• Focusing on machine learning which can help anticipate, predict potential risks, and build systems to protect against these risks.
• Built machine learning systems in credit card fraud detection and pattern recognition.
• Conducted market segmentation based on transaction records.
• Developed customer acquisition, portfolio and cross-selling strategies.
• SAS, Cognos 8 BI are extensively used to do transaction and data cube analysis.

Architect and Programmer Engineer

Confidential

Responsibilities:

• Key designer and developer in designing and developing telecommunication network management system, business communication manager system, telecom account system for the suburb of Shanghai, customer service systems for metro Shanghai. C++, Java, VC, VB, .Net, Matlab are extensively used.