Data Scientist II Resume Las Vegas, Nevada - Hire IT People

SUMMARY

Proven success leveraging statistical (machine) learning, stochastic process, regression, and multi - objective optimization methods to optimize business performance and revenue.
Adept in big data analytics—including associate, correlation, evidence, inference, and cluster techniques; skilled in data mining, validation, and modeling.
Exceptional project planning and management acumen, collaborating among cross-functional teams and internal / external stakeholders to develop top-quality data analysis deliverables.
Demonstrated record of success leading team training / instruction, coaching, mentoring, and knowledgebase development.
Communication, presentation, and relationship development talents; bilingual in English and Chinese.

TECHNICAL SKILLS

Platforms: Windows, Linux

Tools: SAS/SAS SQL, Python, R, Matlab, SQL, PHP, Java, HTML, Neo4j, MySQL, MicroStrategy, Microsoft Office Suite (Word, Excel, Access, PowerPoint, Outlook)

Techniques: Data Mining & Validation, Extraction / Transformation / Load (ETL), Quantitative & Qualitative Analysis, Statistical (Machine) Learning, Random Forest, Adaboost, KNN, Support Vector Machine (SVM), Stochastic Process / Regression / Optimization Methods, Financial Risk Modeling, Multi-Objective Optimization (NSGA-II)

PROFESSIONAL EXPERIENCE

Confidential, Las Vegas, Nevada

Data Scientist II

Responsibilities:

Designing and developing a graphic database to enable future development of a machine learning model capable of fraud detection; leverage Neo4j open-source database and Hadoop to create fraud detection model and device fingerprint to detect fraud device cycle.
Designing new waterfall decision tree using integer programming and evolutionary methods to archive optimal GP& lowest cost for client.
Building risk portfolio for client, optimizing key KPIs, identifying low conversion group. Optimizing cost/risk model.
Developing customized underwriting rules to predict credit and fraud risk in a real time decision pipeline
Designing and reconstructing analytics database, building real time dashboard for client to monitor KPIs. Performing data discovery and statistical analyses around new data and existing data sources to identify additional spam/fraud.

Confidential, Las Vegas, Nevada

Data Scientist

Responsibilities:

Pioneered a dynamic decision ping tree featuring campaign preference learning.
Leveraged k-means to optimize media costs and improve advertising budget management system.
Increased average leads price by 30% through optimization of lender lead caps and slashed fraud leads by 13%.
Managed comprehensive suite of business intelligence (BI) databases and reporting dashboards; migrated all accounting reports to SAS to eliminate MicroStrategy licensing costs.
Advised marketing team on strategies to improve campaigns and drive customer acquisition, development, and retention.
Assisted with development of industrial reformation model to enable system restructuring.
Trained colleagues in SQL and linear optimization methods.

Confidential, Bowling Green, Ohio

Teaching Assistant

Responsibilities:

Provided extensive instruction and tutoring in advanced business optimization models.

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Data Scientist Ii Resume

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