プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

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☆☆☆☆☆

Dr. Dillon H.に依頼

Canada

Research quantitative (data) analyst

プロフィール概要

I was accepted to the MAMF program at Columbia University in 2015 but chose for a variety of reasons to continue the economics doctoral program at Western, and successfully defended my dissertation (essays in financial asset pricing) in December 2021. I am currently seeking employment, particularly in data analytics or other quantitative research and analysis; my LinkedIn profile is https://www.linkedin.com/in/dillon-huddleston-9a738180/. I earned undergraduate degrees in pure and applied mathematics from the University of Calgary, with a CGPA of 3.87 on 52 courses, and a major GPA of 3.98. I am happy to consider any solicitations regarding mathematics, statistics, economics, engineering, natural or computer science tutoring; which I have been doing online for more than seven years. I have also worked as a software developer and spent three years in mechanical and biomedical engineering as an undergraduate.

専門分野

• ★ Data Analysis
• ★ Mathematics
• ★ Economics
• ☆ Mathematical Chemistry
• ☆ Chemoinformatics
• ☆ Quantum Chemistry
• ☆ Computational Chemistry
• ☆ Computational Biology
• ☆ Biostatistics
• ☆ Mathematical Biology
• ☆ Cell Biology
• ☆ Computational Neuroscience
• ☆ Biomedical Engineering
• ☆ Biomechanics
• ☆ Engineering
• ☆ Aerodynamics
• ☆ Electrical Engineering
• ☆ Electronic Circuits
• ☆ Signal Processing
• ☆ Wireless Sensor Networks
• ☆ Biological Engineering
• ☆ Engineering Education
• ☆ Engineering Physics
• ☆ Computer Science
• ☆ Computer Hardware
• ☆ Supercomputing
• ☆ Quantum Computing
• ☆ Parallel Computing
• ☆ Distributed Computing
• ☆ Software Engineering
• ☆ Facial Recognition Technology
• ☆ Cryptography
• ☆ Internet of Things
• ☆ Software Architecture
• ☆ Robot Programming
• ☆ Computer-Aided Engineering
• ☆ Mechanical Engineering
• ☆ Mechatronics & Robotics
• ☆ Combustion & Ignition
• ☆ Mechanical Design
• ☆ Robotics Engineering
• ☆ Micromechatronics
• ☆ Engineering Thermodynamics/Thermophysical Engineering
• ☆ Systems Science
• ☆ Sound Design
• ☆ Remote Sensing
• ☆ Heat Transfer & Calorimetry
• ☆ Fluid Mechanics
• ☆ Computational Fluid Dynamics
• ☆ Industrial Engineering
• ☆ Industrial Operations Research
• ☆ Data Science
• ☆ Image Processing
• ☆ Social Network Analysis
• ☆ Computer Simulation/Computational Modeling
• ☆ Algorithm Design
• ☆ Predictive Modeling & Analytics
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Text Mining & Analytics
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Natural Language Processing
• ☆ Neural Networks
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Business Analytics
• ☆ Fuzzy Logic
• ☆ Financial Modeling
• ☆ Statistics
• ☆ Statistical Theory
• ☆ Applied Statistics
• ☆ Social Statistics
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Bayesian Statistics
• ☆ Correlation Analysis
• ☆ Quantum Statistics
• ☆ Statistical Computing
• ☆ Mathematical Statistics
• ☆ Survey Design
• ☆ Statistical Review
• ☆ Spatial Statistics
• ☆ Medical Statistics
• ☆ Health Data Analysis
• ☆ Trend Analysis
• ☆ Geographic Information Systems (GIS)
• ☆ Geography & Cartography
• ☆ Seismology, Tectonics & Volcanology
• ☆ Sedimentology
• ☆ Geophysics
• ☆ Geomechanics
• ☆ Environmental Statistics
• ☆ Physics
• ☆ Electromagnetism
• ☆ Wave Mechanics
• ☆ Applied Mechanics
• ☆ Theoretical Mechanics
• ☆ Fluid Dynamics
• ☆ Statistical Mechanics
• ☆ Thermodynamics
• ☆ Particle Physics
• ☆ Quantum Mechanics
• ☆ Theoretical Physics
• ☆ Computational Physics
• ☆ Applied Physics
• ☆ Mass Transfer
• ☆ Relativity Theory
• ☆ Calorimetry/Heat Transfer
• ☆ Applied Mathematics
• ☆ Mathematical Models
• ☆ Mathematical Optimization
• ☆ Mathematics Education
• ☆ Mathematical Control Theory
• ☆ Computational Sciences
• ☆ Mathematical Physics
• ☆ Differential Equations
• ☆ Chaos Theory
• ☆ Group Theory
• ☆ Mathematical Wavelets
• ☆ Computational Mathematics
• ☆ Stochastic Processes
• ☆ Game Theory
• ☆ Pure Mathematics
• ☆ Fractals
• ☆ Number Theory
• ☆ Categorical Algebra
• ☆ Algebra
• ☆ Calculus
• ☆ Mathematical Analysis
• ☆ Geometry
• ☆ Mathematical Logic
• ☆ Topology
• ☆ Graph Theory
• ☆ Discrete Mathematics
• ☆ Integral Equations
• ☆ Cell Line Engineering
• ☆ System Dynamics
• ☆ Cybersecurity
• ☆ String Theory
• ☆ Population Genetics
• ☆ Engineering Design
• ☆ Risk Assessment & Actuarial Science
• ☆ Logic
• ☆ Social Network Theory & Analysis
• ☆ Educational Statistics
• ☆ Educational Methods & Theories
• ☆ Computer Science Education
• ☆ Science Education
• ☆ Educational Technology
• ☆ Curriculum Planning & Development
• ☆ Distance Education
• ☆ History of Mathematics
• ☆ Python
• ☆ SPSS
• ☆ Matlab
• ☆ SQL
• ☆ Excel
• ☆ Java
• ☆ SAS
• ☆ STATA
• ☆ LaTex
• ☆ R
• ☆ Tableau
• ☆ Scikit-learn
• ☆ Drug Discovery
• ☆ Combinatorial Chemistry
• ☆ Clinical Trials
• ☆ Clinical Trials Data Analysis
• ☆ Medical Imaging/Radiology
• ☆ Kinesiology & Exercise Science
• ☆ Public Health
• ☆ Health Informatics
• ☆ Electrocardiogram (ECG)
• ☆ Material Sourcing
• ☆ Reverse Engineering
• ☆ Supply Chain & Logistics
• ☆ Inventory Control
• ☆ Product Design
• ☆ CAD & 3D Modeling
• ☆ Research
• ☆ Peer Review
• ☆ Research Methodology
• ☆ Survey Design & Methodology
• ☆ User Research
• ☆ Quantitative User Research
• ☆ Meta-Research
• ☆ Feasibility Studies
• ☆ Technology Scouting
• ☆ Fact Checking
• ☆ Literature Search
• ☆ Skills Training
• ☆ Regulatory Writing
• ☆ Nonclinical Study Documentation
• ☆ Technical & Scientific Writing
• ☆ Journal Selection
• ☆ Manuscript & Journal Article Writing
• ☆ Instructional Materials
• ☆ Release Notes
• ☆ White Papers
• ☆ Case Studies
• ☆ Textbook Content Writing
• ☆ Literature Review
• ☆ Traditional/Narrative Literature Review
• ☆ Systematic Literature Review
• ☆ Copywriting
• ☆ User Guides & Handbooks
• ☆ Proofreading & Editing
• ☆ Course Content Writing
• ☆ Statistical Finance
• ☆ Financial Technology
• ☆ Mathematical Finance
• ☆ Business Statistics
• ☆ Data-Driven Decision Making
• ☆ Political Economy
• ☆ Consumer Behavior & Theory
• ☆ Macroeconomics
• ☆ Econometrics
• ☆ Microeconomics
• ☆ Economic Evaluation
• ☆ Behavioural Economics
• ☆ Market Research
• ☆ Quantitative Market Research
• ☆ Risk Management

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing, Newswriting

Research Market Research, User Research, Meta-Research, Feasibility Study, Fact Checking, Gap Analysis, Gray Literature Search, Systematic Literature Review, Secondary Data Collection

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Data Visualization, Big Data Analytics, Data Processing, Data Insights

Product Development Product Validation, Prototyping

職務経験

Graduate Research Assistant / Research Assistant

University of Western Ontario

9月 2020 - 12月 2021

Freelancer

PeoplePerHour

9月 2020 - 11月 2021

Tutor

Chegg

9月 2018 - 7月 2019

Engineering Intern

ALSTOM POWER (Switzerland)

5月 2011 - 3月 2012

学歴

Economics, Ph.D.

University of Western Ontario

9月 2015 - 12月 2021

MA in Economics

University of Western Ontario

9月 2014 - 10月 2015

Pure and applied mathematics

University of Calgary

9月 2008 - 2月 2014

認定資格

• 認定資格の詳細は未入力です。

出版物

DISSERTATION THESIS

Huddleston, Dillon Ross, "Essays in financial asset pricing" (2021). Electronic Thesis and Dissertation Repository. 8292 .

JOURNAL ARTICLE

Dillon Huddleston and Fred Liu and Lars Stentoft(2021). Intraday Market Predictability: A Machine Learning Approach . Journal of Financial Econometrics. Oxford University Press ({OUP})