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Applied Predictive Analytics Modeler Resume

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Chesterbrook, PA

SUMMARY:

  • A deeply competent and confident professional in the area of exploratory data analysis, statistical data modeling, predictive analysis, presentation, and decision making.
  • My ability to formulate and apply mathematical modeling methods to develop and interpret information will assist in identifying potential problem areas and help make timely actionable decisions.
  • Strengths include the ability to communicate complex ideas effectively, plan large projects with diverse teams, and jump through multiple hoops to meet the institution’s needs.

TECHNICAL SKILLS:

Statistical packages: R, Weka, Excel

Presentation: R - GGPlot2, Lattice, Tableau, Excel, PowerPoint

Relational databases and SQL variants: MySQL, MS SQL Server 2008 (Management Studio, BIDS), Access

NoSQL: HIVE, Mongo DB

Big Data Frameworks: Hadoop, Azure, Hive, Pig

Map/Reduce: Hadoop with Pig & Hive

Scripting languages: Python, Bash

Object languages: Python, Java

Functional programming: LISP, Clojure, Erlang

PROFESSIONAL EXPERIENCE:

Confidential, Chesterbrook, PA

Applied Predictive Analytics Modeler

Responsibilities:

  • Using the full range of analytical tools to explore, analyze, and predict patient behavior based on their web and medical device usage as well as their survey responses.
  • Member of 2 core study teams with responsibilities of data analysis and interpretation of clinical studies focusing on outcomes of patients using One Touch Reveal.
  • Coordinating with Marketing to provide pilot program analytics for close performance monitoring in US and UK.
  • Patient survey analysis using Likert and multiple correspondence analyses to evaluate patient attitudes towards One Touch Reveal.
  • Authored analysis reports for management of One Touch Reveal activity as measured by site (Google Analytics) and meter including sentiment analysis and predictive activity.
  • Use of Google Analytics to explore individual and aggregate web habits.
  • Full analysis of patient behavior via survey response data.
Confidential, Chantilly, Virginia

Associate / Data Analytics Engineer

Responsibilities:

  • On-site quantitative consultant specializing in providing data analytics to operationally-focused clients within the national security space.
  • Participant in full development cycle of automated risk assessment algorithms and targeting frameworks for U.S. Customs and Border Protection client, including targeting concepts, model selection, implementation, and assessment.
  • Comparing multiple algorithms and models for best performance and accuracy.
  • Department of Homeland Security Suitability clearance granted October 2013.
Confidential, Pennsylvania

Data Scientist

Responsibilities:

  • Lead in research project using Azure/Hadoop Big Data framework finding useful patterns in web logs (MapReduce, Pig, Hive, and R).
  • Invited by Microsoft to participate in their Design Wins Azure Hadoop development program.
  • Identified product recommendation rules based on member purchase patterns using Association Analysis mining techniques.
  • Using Classification predictive machine learning, I developed an algorithm to predict membership renewal activities.
  • Using Neural Nets, Support Vector Machines, and k-nearest neighbor, I developed learning tools to predict member certification activity and the relationships between members’ web activity and marketing.
  • Mining Twitter, I discovered related user groups and sentiment regarding project management and member reactions to organizational rules.
  • Pulled LinkedIn profile data using associations to build groups of like-members in order to better target knowledge products.
  • Using time series:
  • Cross correlation analysis to find leading indicators among membership groups.
  • I projected total membership and within country membership.
  • Using leading indicators, I associated economic activity (using certain parameters) with projected membership.
  • Natural Language Processing:
  • Using large data set of contact logs, I identified improvements to web site and call center process to improve customer experience and reduce problem calls,
  • Using Sentiment Analysis, I was able to detect customer relationships among departments leading to better quality initiatives.
Confidential, Malvern, PA

Database Management Systems

Responsibilities:

  • Managed extensive datasets for faculty research:
  • Maintenance and analysis of datasets concerning:
  • Abnormal pricing analysis in the US.
  • Impact of U.S, merchandise trade on the stock market
  • Mutual fund performance
  • Conducted market research to enhance customer satisfaction, retain customers, and seek out prospects.
  • Conducted comprehensive statistical study for Strategic Plan
  • Gathered, analyzed, and recommended actions using Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis and was instrumental in guiding the organizations growth in the following years.
  • First to use web based analytics to strengthen organization’s web site drawing even more views and potential prospects to the campus.
  • Designed and built multiple applications for business and academics:
  • Designed and delivered the campus’ first client tracking system with both a client front end and database backend. This system allows users to create tracking reports, target promotions, and establish next steps requirements to better inform clients of upcoming events and gather responses.
  • Designed and delivered multiple surveys for the Web and desktop. These surveys were developed for research and customer feedback. Reports were created to better manage responses and next steps.
  • Key member of the planning and implementation team for the Schools prospect system. Ensured user requirements were aligned with business objectives and that rollout was pain free for all users.
  • Enabled leadership to make key decisions based on reliable information by identifying, maintaining, and extracting research and business information based on data warehouse and other databases using a MS SQL, MySQL, Access, Excel and on-line analytical processing.
  • First ever program and systems analysis support to the enterprise:
  • Designed, installed, created, configured back-up, and maintained multiple databases for clients, faculty, and staff.
  • Developed a database to maintain information on key School contacts, clients, and potential clients, used by the Conference Planning staff and others offices on campus
  • Served as a member of various School teams that design, create, and administer online studies of student opinion and satisfaction. Assisted in creating and administering online surveys to support client relationship development and to assess client educational needs.
  • Collaborated in creating and administering electronic voting documents for student voting on faculty teaching excellence and student faculty senate representative.
Confidential, Lyndonville, VT

Assistant to the Academic Dean for Information Technology

Responsibilities:

  • Selected as first ever leader of information technology at the college. Implemented from scratch an information services organization, wiring infrastructure, upgrades, and server based services.
  • IT Director, Naval War College, Newport, RI 1992 - 1996
  • Specially selected as first ever IT Director of this college.

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