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