John Dickson

About John Dickson

9+ years of data science and machine learning experience with a proven record of developing and deploying large scale machine learning models that changed the business significantly. 8+ years of experience applying R, Python, SAS and SQL for algorithm development, data modelling and statistical learning and visualization. John Dickson obtained his PhD in Industrial Engineering from the University of Texas at Arlington. His research is on surrogate optimization using exploitation and exploration approach. His interests are statistical data analysis and optimization. He has also worked in many research projects and delivered results for clients in manufacturing, airlines and customer service.John\'s research experience includes collecting simulated data, building statistical models, analysis of the decision variables, determining the optimum solution. He has made presentations to expose the research among other researchers in several prestigious Operation Research and Industrial Engineering conferences. John has experience in creating analytics, decision making frameworks using Design of Experiments, Response surface methodology, Sequential Design of Experiments, Multivariate analysis, Logistic and Linear regression methods for complex processes. He also has experience in Mixed Integer Linear Programming and Surrogate optimization with which the approximate models are optimized.Specialties: R, PYTHON, SAS, CPLEX, XPRESS Optimization, JMP, Matlab, SQL, SPSS, Power BI, Azure ML, AWS, Spark, H2OPatents : 1) system and method for predicting shutdown alarms in boiler using machine learning (02•••••••80A1)2) Data stitching and harmonization for machine learning (16••••23)

Experience

1. Lead Data Scientist

   Optimum

   May 2025 — Present

Education

• The University of Texas at Arlington

  MS, Engineering Management, Industrial Engineering

  2007 — 2009

• Anna University Chennai

  BE, Mechanical

  2002 — 2006

• The University of Texas at Arlington

  Doctor of Philosophy (Ph.D.), Industrial Engineering

  2009 — 2014

• Udacity

  Nanodegree, Self Learning Car

  2018 — 2019

Skills

• Python
• R
• Sql
• Statistical Data Analysis
• Regression Analysis
• Analytics
• Cross-Functional Team Leadership
• Design of Experiments
• Data Mining
• Operations Research
• Engineering
• Matlab
• Apache Spark
• Statistics
• Statistical Modeling
• Simulations
• Industrial Engineering
• Minitab
• Optimization
• Pyspark
• Data Analysis