Statistical Modeler Resume Norfolk, VA - Hire IT People

SUMMARY:

Before pursuing a data science career, I was a successful biology scientist for a decade. While I was doing my research, I need to analyze vast amounts of scientific data, which is critical for my research.
Through multiple research projects, I not only developed my R/Python programming and data analysis skills but more importantly, I have gained the great passion for the data science field.
Currently, I work as a statistical modeler, improving services for our clients by using advanced analytics, big - data analytical tools, and creating predictive models to help company business performance.
Competencies: Data Science, Machine Learning, Big Data/Spark, Deep Learning, Tableau, Business
Analytics, SAS, Python/R, Data Visualization, SQL Server, Strong Research Skill, Self-Directed Learning
R Programming (10+ years), Python (3 years), Excel (10+ years), SAS (2 years), Tableau (2 years)Minitab (2 years), Machine Learning (5 years), Deep Learning (2 years), Power BI (2 years), Financial
Modeling (1 year), Data Mining (5 years), Time Serial Analysis (Financial data) (1 year), MySQL (5 Years), SQL Server (2 years)

PROFESSIONAL EXPERIENCE:

Statistical Modeler

Confidential - Norfolk, VA

Responsibilities:

Building predictive models to predict borrower's risk level, helping customers service department to prioritize their services and take actions before the borrowers become delinquent;
Using cluster analysis for market segmentation, targeting the appropriate borrowers for automatic payments campaign;
Combining multiple tools(R, Tableau, SQL Server), using Big Data skill to monitor clients/customers behaviors and company business performance;
Analyzing Financial data and discover patterns in the historical data and extrapolate the pattern in the future;
Building unique machine learning models and making valuable predictions for different clients according to their requests;
Using time series to analyze and predict important business metrics, such as total loans counts, escrow advance balance, total delinquency rate and so on, providing practical advice for senior executives hoping to make right decisions

Research Scientist

Confidential - Ithaca, NY

Responsibilities:

Using quantitative genetics, bioinformatics, genome-wide association analysis(GWAS), building predictive model to predict and study gene functions;
Having strong scientific research and project management ability, published research results in the top academic journals;
Mentored undergraduates, graduate students and visiting scholars. Assisted with experiment design, data analysis and problem solving.
Obtained green card under the EB1a category (Extraordinary scientific research Ability)