Rezvan Rafiei

North York, ON

647-***-**** ac83ns@r.postjobfree.com

CAREER PROFILE

• Self-motivated and goal-oriented PhD level analyst and modeling advisor with +8 years of experience specialized in modeling, applying statistics, developing quantitative algorithms, and analyzing data

• Expert in creating data regression models, using predictive data modelling algorithms to deliver insights and implement action-oriented solutions to complex business model

• Solid background in using database management tools (e.g. SQL) to query relational databases

• Experienced in using decision support tool developers to solve problems

• Hands-on experience designing and building analytical solutions to solve real world problems

• Advanced programming skills with MATLAB/Octave, C/C++, Python and R

• Hands-on certificate for data science program (machine learning, big data, cleaning data, and Hadoop platform)

• Excellent analytical, communication and organizational skills TECHNICAL SKILLS

• Optimization Tools: LINGO, LINDO, CPLEX, BARON, OPL STUDIO

• Programming Tools: Visual Basic, C/C++, MATLAB, Python

• Simulation Tools: Arena, Simio

• Statistical Tools: SPSS, Minitab, R

• Database Management Tools: SQL

• Project Management Tools: Microsoft project, Primavera

• Software Tools: Microsoft Office (Excel, Access, Visio, PowerPoint and Word) PROFESSIONAL EXPERIENCES

o Operation Research Analyst, DeGroote School of Business, McMaster University 2015-Present

• Developed statistical, optimization and predictive models and algorithms

• Proposed data-driven approaches to reduce computational time of mathematical models

• Developed algorithms beating commercial optimizer and reduced costs more than 20%

• Generated analytical models, using real data, running correlation and regression and sensitivity analysis

• Provided recommendation about implementing complex decision-making framework for real world problems

o Data Analyst, IS & Management Sciences Department, University of Sherbrooke 2014-2015

• Worked with stakeholders to identify opportunities for leveraging data to drive business solutions

• Developed key performance indicators and analyzed model performance and data accuracy

• Created decision trees algorithms and developed mathematical models based on that

• Developed planning scenarios, evaluated scenarios, applied predictive modeling to increase and optimize revenue generation and cost savings and achieved 15% improvement o Supply Chain Analyst, Value Chain Optimization, CANADA (part of my PhD thesis) 2009-2014

• Proposed an optimization/simulation framework using operations research tools to develop a culture of analytical decision-making platform

• Collaborated with stakeholders, collected data, developed a conceptual model, and created KPIs and translated stakeholder’s requirements into mathematical models for a real-world problem

• Developed regression models using predictive data modelling algorithms and analyzed data

• Proposed efficient methodologies to solve new planning strategies and achieved performance improvement by 20%

o Senior Business Analyst, National Iranian Oil Company, IRAN 2007 - 2009

• Translated business user concepts and ideas into comprehensive business requirements and design documents and developed process mapping of current and future business processes

• Defined project scopes and phases into deliverable steps, monitored progress of active projects, implemented improvement plans, analyzed and interpreted project results

• Implemented and updated business processes and evaluated performance of systems

• Coordinated with project manager to develop and drive a strategic plan to assess the process performance within 25 sub-companies

o Business Analyst, Behvazan Pharmaceutical Company, IRAN 2006 - 2007

• Collaborated with leaders to develop KPIs in order to evaluate performance of stakeholders

• Applied operation research modelling approaches to optimize production of medications and logistics of special disease medications and improved sales team performance

• Analyzed client’s business requirements and processes through document analysis and interviews

• Revised purchase ordering procedure to minimize overstock resulted in savings of 5-15% per inventory purchase

o Senior Data & Business System Analyst, Toliddaru Pharmaceutical Company, IRAN 1998 - 2006

• Supervised “Data & Statistics” sector of company with 5 number of employees

• Applied statistical tools to interpret and analyze health related data sets

• Evaluated performance of distributers based on predefined KPIs (e.g. Service Level)

• Performed data and information for making regular report data analysis

• Created monthly reports for board meeting and provided performance improvement recommendations

EDUCATION

• PhD in Industrial Engineering, Université Laval, Quebec City, Canada 2009-2014

• MSc in Industrial Engineering, Tarbiat Modares University, Tehran, Iran 2001-2004

• BSc in Applied Mathematics (Major: Computer Science), Shahid Beheshti University, Tehran, Iran

1993-1998

ONLINE COURSES AND CERTIFICATES

• Exploratory Data Analysis by Johns Hopkins University on Coursera Present

• R Programming by Johns Hopkins University on Coursera, Certificate No.: LY2G3RUQT238

2019

• Getting and Cleaning Data by Johns Hopkins University on Coursera, Certificate No.: PHSK39F4V8QE

2019

• Machine Learning by Stanford University on Coursera, Certificate No.: A9VCPEKEKXXB

2019

• Big Data Modeling and Management Systems by University of California San Diego on Coursera, Certificate No.: 3JNLNDTNSH4Z

2019

• Hadoop Platform and Application Framework by University of California San Diego on Coursera, Certificate No.: A5ZYXXHK9PZF

2019

AWARDS

• Winner of David Martel paper prize at the 58th CORS Annual Conference, 2016, Banff, Canada

• Nomination of Ph.D. project by Theme Leaders of Value Chain Optimization (VCO) Network Leadership team for the VCO Success Stories, 2014, Quebec City, Canada

• Finalist for David Martel paper prize at the 56th CORS Annual Conference, 2014, Ottawa, Canada LANGUAGES

o English, French

References: available upon request

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