Data Science Consultant Resume Arlington, VA - Hire IT People

PROFILE:

Data Science professional with public and private sector domain experiences, domestic and international; Experienced in applying econometric, machine learning and probabilistic modeling techniques to strategic or operational problems; Multi - lingual - French, German, Creole.

TECHNICAL SKILLS:

Programming, Databases & Operating Systems: SQL, Python, Apache Hadoop, Apache Spark, SAP HANA, SAP Business Objects, Linux Ubuntu & Debian, Mac OS, Windows OS

Statistical Tools & Methods: R, STATA, Base SAS, SAS EM, Applied Econometrics, Statistics

Business Intelligence & Data Visualization Tools: QlikView, Microsoft Power BI, Tableau, Microsoft Excel, Google Analytics & AdWords

Data Analytics: Data Transformation - Stepwise Backward Elimination / Forward Selection, Principal Component Analysis (PCA)Model Analytics Ensemble Methods - Bootstrapping, Random Forest (Bagging), Boosting, Stacking

Customer/Marketing Analytics: Probability Modeling - Shifted Beta-Geometric Model, Exponential-Gamma Model, Poisson-Gamma Model

Unstructured Data Mining: Text Mining, Natural Language Processing, Web-crawling, Web-scraping

Classifiers: K-Nearest Neighbor (KNN), Decision Trees, Regression Methods, Clustering, Market Basket, Association Rule Mining

Advanced Classifiers: Support Vector Machines (SVM), Na ve Bayes, Bayesian Networks, Neural Networks

Project Management Tools & Methods: Agile Application Development, JIRA. Trello, Slack, Version Control - Git & GitHub

EXPERIENCE:

Confidential, Arlington, VA

Data Science Consultant

Responsibilities:

Contributed to Confidential ’ projects that focused on enforcing International Tax Compliance, prosecuting criminal Employment Tax Evasion schemes, and curtailing the use of Secrecy Banking Jurisdictions for Tax Evasion or Avoidance purposes
Applied the Machine Learning techniques of K - Means Clustering, Principal Components Analysis and Elbow Method to design a descriptive model that enhanced our client s understanding of banking transaction flows between Switzerland and other offshore banking jurisdictions
Implemented the model analytics methods of Cross Validation and Bootstrapping Ensemble to assess the predictive accuracies between Decision Tree and Na ve Bayes models
Used results from the model analytics to design a Na ve Bayes predictive model that enhanced the client s risk-profiling capability to enforce international tax compliance by US taxpayers
Interpreted client s business requirements to develop criteria for a descriptive analytics model that profiles potential US employers that perpetrated the Pyramid Scheme employment tax evasion
Successfully deployed the descriptive analytics model, resulting in the client s identification and prosecution of four Pyramid Scheme violators

Software Technologies: Python, R, SQL, Tableau

Confidential, Dallas, Texas

Data Science Consultant

Responsibilities:

Contributed extensively to three major projects and assumed responsibility for various components of other projects
Used Survival Analysis techniques to design a predictive classifier for the client s customer retention rate of his business customer loyalty program
Conducted multiple tests of probability distributions and settled on the Geometric Distribution as the base classifier
Improved the base classifier s predictive accuracy by combining it with the Beta Distribution, resulting in a Beta-Geometric probability distribution
Constructed a predictive model to forecast sales revenues from the marketing campaign of a new product
Assessed the model-fitness of multiple probability distributions and selected the Exponential Distribution for the base classifier
Improved the base classifier s predictive accuracy by combining it with the Gamma Distribution, resulting in a Gamma-Exponential mixed probability distribution
Enhanced the advocacy capacity of a Non-profit Organization by providing empirical, statistical insight that reinforced the client s policy proposition
Conducted multiple tests to approximate the data distribution s functional form and address issues such as Omission Variable and Exact Multi-Collinearity Biases; Also enhanced model accuracy through the addition of Interaction and Indicator Variables
Ran hypotheses tests to assess the validity of the model s parameter coefficients

Software Technologies: SAS, Python, R, SQL, Excel, Tableau & QlikView

Confidential

Business Manager

Responsibilities:

Produced information and data analytics for the Investment Committee; Managed large - scale joint venture investments; Screened acquisition assets;
Undertook financial due diligence; Supported CFO and CEO on operational and strategic projects
Developed Tableau workbooks, dashboards, global filter page and parameter-based calculations to perform Year-Over-Year, Quarter-Over-QuarterMonth-To-Date, Quarter-To-Date and Year-To-Date type of analyses by using Tableau as a front-end Business Intelligence tool and Microsoft SQL
Server 2012 as a backend database
Ensured data accuracy through the creation and implementation of data integrity queries, and conducted statistical analyses that supplemented the investment decision-making process

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Data Science Consultant Resume

Arlington, VA

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