Innovation Specialist (Data Scientist) Resume Washington, DC - Hire IT People

TECHNICAL COMPETENCIES:

Very strong programming skills with: 5+ years experience performing data wrangling, structuring, cleaning, and building complex statistical models, as well as generating automated reports and visualizations. Python Strong programming skills with 3 years experience applying Python’s scientific computing libraries for data collection and analysis, data visualization, predictive modeling, big data processing, natural language processing, and machine learning.

Web: Familiar with web development using modern languages and frameworks (HTML5, CSS3, JavaScript). Experience building interactive web data visualizations in D3.js and in managing web development projects. DB Capable of building and executing advanced queries in a variety of SQL environments. Experience with non - relational databases such as MongoDB.

Other: Extensive experience using Tableau and Teradata. Familiar with big data analysis using Hadoop/MapReduce, as well as Spark/Resilient Distributed Datasets and Amazon EMR.

Highly competent with: entire MS Office Suite (Word, Excel, Access, etc.). Competent with distributed version control (Git). Some experience performing statistical analysis using SAS, SPSS, and Stata. Comfortable working with Amazon Web Services (EC2, S3, RDS, DynamoDB, and EMR).

Familiar with: Ruby, Java, and C. Language Skills English (native), Russian (fluent), Dutch (fluent), German (proficient)

PROFESSIONAL EXPERIENCE:

Confidential, Washington, DC

Innovation Specialist (Data Scientist)

Responsibilities:

Serve as the lead statistics and data science technical expert for the OGP Office of Information, Integrity, and Access, working to assist agencies with the implementation of Confidential technology policy initiatives.
Designed and executed several statistical studies of complex policy issues using state - of-the-art econometric methods to provide policy makers with data-driven insight into multiple facets of government technology policy.
Used demographic and survey data to design and write a price elasticity model in R, then provided explanation and visualizations that informed the pricing structure of .gov domains.
Led a development team to design and build pulse.cio.gov, which automatically measures agency implementation of federal website policies and best practices using automated analysis tools built in Python and Ruby.
Organized and led a Bayesian statistics study group to build the team’s predictive modeling competencies.
Designed and wrote a maximum entropy text classification algorithm using MapReduce and Natural Language Processing in Python to automatically scan IT procurement documents for policy compliance.
Created several modular, reusable programs in Python and R for text-mining documents, crawling/scraping web pages, supervised/unsupervised machine learning, and automatically running analyses and producing visualizations

Confidential, Washington, DC

Data Analyst

Responsibilities:

Developed extensive experience evaluating government program performance.
Developed and implemented project and technical assistance plans for agencies to aid them in achieving the President’s policy goals.
Regularly gathered data from various sources and applied quantitative research skills in performing legislative, economic, regulatory, management, and budgetary analysis of the effectiveness of various IT systems and programs.
Assisted in drafting the IT chapter of the President’s annual budget proposal, including the preparation of briefing materials and presentations used by the Federal CIO when speaking with congressional leaders.
Provided training sessions and briefings to communicate technical program information to non-technical audiences.
Frequently devised methodologies and developed analytical products to help oversight officers measure federal investment health, project performance, and agency adherence to Confidential technical guidance.
Designed and implemented an automation process for information workflow to develop program materials and validate data using R and Python that saved the office nearly 2000 work hours for the annual PortfolioStat initiative.
Led a team of four interns in the collection and analysis of a large set of management and performance data using R to conduct a procurement system optimization for a Dutch multinational chemistry company.
Frequently drafted documents and presentations to communicate the results of our analyses to company executives.

Confidential, Austin, TX

Account Manager

Responsibilities:

Served as the main point of contact for multiple large business clients in a high-pressure, collaborative environment.
Gathered project requirements, drafted project plans, and communicated business needs to coworkers through presentations and project summaries.

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Innovation Specialist (data Scientist) Resume

Washington, DC

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