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Contract Data Scientist Resume

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SUMMARY

  • Data Analytics professional with 2 years of experience working on analytics projects with finance, strategy, and IT services teams within project based and discreet manufacturing organizations; expertise in predictive modeling.

TECHNICAL SKILLS

  • R | Python
  • SAS MATLAB
  • SQL Advanced Excel
  • Big data
  • Business Analyst
  • Business Strategy
  • Clustering
  • Costing
  • Forecasting
  • Machine Learning
  • Excel
  • Modeling
  • NLP
  • Project Management
  • Python
  • SAS
  • Simulation
  • SQL
  • Strategy
  • Tableau
  • VBA
  • Machine Learning Skills: Linear Regression
  • Logistic
  • Regression
  • Clustering
  • Naïve Bayes
  • Random ForestDecision tree
  • Text mining
  • Time Series modeling
  • NLP

PROFESSIONAL EXPERIENCE

Contract Data Scientist

Confidential

Responsibilities:

  • Mined complex project data to provide systems - related advice
  • Worked with IT services team to manage statistical data and create predictive models for project duration, effort hours, lead times, and cost analysis
  • Executed, analyzed, and prepared reports to respond to the needs of requisition managers as well as on-site engineers
  • Worked closely with both engineers and IT services team(s) to determine the most appropriate and effective analytics approaches
  • Utilized a variety of systems and software tools to compile and prepare reports, graphs and charts of data analyzed; primarily R, Python, SQL, Excel, Tableau, ServiceNow, as well as older legacy systems

Business/ERP Analyst

Confidential

Responsibilities:

  • Worked as Schaeffer Productique ERP and SAP Analyst
  • Worked with Finance, Operations, Sales, IT, and other BSA's to ensure successful data integration, rollout, go-live, training and support of SAP R/3 7.4
  • Worked on teams comprised of members from Finance, IT and Sales to merge and normalize master data from two different ERP systems into SAP
  • Worked on a customer complaints taskforce to map the workflow of current CRM: Customer Complaints process, setup BPM configurations in Schaeffer ERP accordingly to ultimately maintain a customer focused approach to continuous improvement
  • Lead the initiative to improve QA processes and procedures through extensive QA software training
  • Solved several internal logistics issues created from years of poor warehousing procedures combined with inexperienced mapping of warehouse locations and handling units to the Schaeffer ERP system
  • Managed a training program for previous ERP system, Schaeffer Productique. Created documentation and administered both classroom and hands on training for employees from all organizational levels
  • Supervised and supported a major production management software change

Information Resource Management Intern

Confidential

Responsibilities:

  • Collected city administration requirements, determine technical issues, and design reports to meet data analysis needs
  • Identified new sources of data and methods to improve data collection, analysis, and reporting
  • Collected, analyzed, and reported data through SAS to meet city needs

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