Ali Feizabadi

Ali Feizabadi

Data Scientist, Data Engineer

Smith School of Business

Biography

I am an M.Sc. graduate in Management Information Systems from Smith School of Business. Leveraging my experience in both industry and academia, I have published in top-tier journals, and received various merit-based awards and scholarships.

I have experience in data analysis, machine learning, natural language processing, and digital strategy and have used different techniques to uncover patterns and insight and to deliver a strong data-driven framework for planning and decision-making.

Having an engineering background gave me a strong foundation in mathematics, statistics, analytics, and critical thinking skills and made me to be passionate and personally driven to keep up with new data science techniques and best practices.

Download my resumé.

Interests
  • Artificial Intelligence and Machine Learning
  • Data Analytics and Visualization
  • Digital Transformation
  • Customer Insight
  • Business Intelligence
Education
  • M.Sc. in Management Information Systems, 2020

    Queen's University

  • M.Sc. in Chemistry, Materials Engineering, 2019

    Western University

  • B.Sc. in Materials Engineering, 2017

    Amirkabir University of Technology - Tehran Polytechnic

Skills

Python
C#
JavaScript
SQL
SQL
R
Azure
Azure
AWS
Databricks
Databricks
PBI
Power BI
tabl
Tableau
Statistics
Jira
Confluence

Experience

 
 
 
 
 
Four Seasons Hotels and Resorts
Data Engineer/Scientist
Four Seasons Hotels and Resorts
Feb 2021 – Present Toronto

Responsibilities include:

  • Partnered with business and technology teams to identify business problems, built insightful analytical solutions and developed state-of-the-art solutions aligned with business objectives. Provided data warehouse & BI technology vision, roadmaps, blueprints, and project plans
  • Extract, Transform and Load data from various sources to Azure Data Lake Storage using a combination of Azure Data Factory, T-SQL, Spark SQL, and U-SQL Azure Data Lake Analytics. Data Ingestion to one or more Azure Services - (Azure Data Lake, Azure Storage, Azure SQL, etc.) and processing the data in Azure Databricks
  • Developed and implemented API services and monitoring systems in an agile environment for connecting and querying AAS (DAX, MDX) using .Net Core, ADOMD.NET / Entity Framework, ASP.NET MVC, ASP.NET WEB API, JWT, Microsoft SQL Server, Azure Blob Storage, Data Pipeline, Azure Logic App, and real-time Power BI
  • Designed and executed well-engineered, easy-to-maintain, and reliable applications, using AI models, and helped to free up over 20 labor hours per week and facilitated users’ access provisioning requests
  • Developed internal analytics and data exploration services, using ServiceNow Rest API, to analyze patterns and reduce ServiceNow ticket volume by flagging similarity across tickets using cluster analysis, automating ticket assignment, and predicting time to resolution for each request using regression analysis
  • Utilized MS SQL, Azure Analysis Services, data warehousing programs, Power BI, and PowerApps for data visualization and analysis; Designed, created, and maintained automated visualizations for internal and client-facing reporting deliverables
  • Owned and managed all changes to the data models and used Git Repository as a version control tool. Created data models, solution designs, and data architecture documentation for complex information systems
 
 
 
 
 
Toronto Machine Learning Series (TMLS)
Member
Toronto Machine Learning Series (TMLS)
Jan 2021 – Present Toronto
 
 
 
 
 
BizXL Solutions
Business Analyst
BizXL Solutions
Sep 2020 – Jan 2021 Toronto

Responsibilities include:

  • Provided executives with analytics and decision-support tools to help with strategic initiatives, roadmaps & process models
  • Leveraged platforms such as Google and Adobe Analytics, besides MS SQL, Tableau, and other visualization toolsets for data intelligence and analysis, to gain data-driven insights into customer behavior and used for business development strategies
  • Implemented Total Business Excellence [TBE™] model to assist businesses to achieve a sustainable competitive advantage by developing a culture that is integrated, aligned, and responsive to market and customer demands
 
 
 
 
 
Smith School of Business at Queen's University
Research Analyst and Teaching Assistant
Smith School of Business at Queen’s University
Sep 2019 – Aug 2020 Kingston

Responsibilities include:

  • Project 1: Conversational Agents
  • Designed and developed AI-enabled agents using JavaScript, HTML, and API calls and used these as virtual advisors in financial services to provide a personalized experience across different digital channels and customer touchpoints
  • Collected, studied, and interpreted large datasets using surveys and interviews; performed extensive data analysis to unveil User-AI interactions; investigating the adoption of these technologies by organizations and their acceptance by customers
  • Conducted advanced statistical analysis using Python and R (e.g., structural equation modeling, multiple/logistic regression, mediation/moderation models, ANCOVA, MANCOVA, and linear mixed models) to test hypotheses; tested for the validity and reliability of constructs using lavaan, semTools, psych, dplyr, ggplot2, car, and emmeans libraries
  • Project 2: Intelligent E-mail Management System (IEMS)
  • Created a personalized AI platform and implemented supervised clustering algorithms such as Naïve Bayesian classification, Support Vector Machine, K-Nearest Neighbor, and Neural Networks to group received emails based on their importance and urgency
  • Evaluated model performance and monitored the training process, eventually obtained excellent accuracy of 93%
  • Teaching
  • Instructed Business Intelligence, Business Process Model and Notation, App Development, ERPsim
  • Used Multiple-Criteria Decision-Making (MCDM) models (e.g., analytic hierarchy processing (AHP), ELECTRE, VIKOR, TOPSIS, and CORPAS) as computational tools in evaluating multiple, contradicting, qualitative and quantitative criteria
 
 
 
 
 
Illinois Institute of Technology
Visiting Scholar
Illinois Institute of Technology
Jun 2019 – Jul 2019 Chicago
 
 
 
 
 
Western University
Research Analyst and Teaching Assistant
Western University
Sep 2017 – Aug 2019 London

Accomplish­ments

Microsoft
Microsoft Certified Azure Data Scientist Associate
See certificate
Microsoft
Microsoft Certified Azure AI Engineer Associate
See certificate
Microsoft
Microsoft Certified Azure Fundamentals
See certificate
Microsoft
Microsoft Certified Azure AI Fundamentals
See certificate
Microsoft
Microsoft Certified Azure Data Fundamentals
See certificate
Microsoft
Microsoft Certified Azure Data Engineer Associate
See certificate
Google
The Fundamentals of Digital Marketing
Credential ID LLD XBN JEW
See certificate
Google
Google Analytics Individual Qualification
Credential ID 54027648
See certificate
Google
Advanced Google Analytics
See certificate
Google
Google Data Studio
See certificate
University of Michigan
Introduction to Data Science in Python
Credential ID DF66J7B97YMN
LinkedIn Learning
Learning Adobe Reports and Analytics
Credential ID AS4JzKGXF5rilTpIR3Y1wuciDDX9
DeepLearning.AI
Neural Networks and Deep Learning
Credential ID MWUXBWF37TDQ
Mitacs
Cross-Cultural Team Communications
Western University
The Leadership Education Program-Group Leadership
Western University
The Teaching Assistant Training Program (TATP)
Elsevier
Recognized Reviewer of Elsevier

Projects

*

Recent Publications

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(2023). Cobalt-Doped Pd@Pt Core–Shell Nanoparticles: A Correlative Study of Electronic Structure and Catalytic Activity in ORR. In The Journal of Physical Chemistry C.

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(2022). How the AIS can improve its contributions to the UN’s sustainability development goals: Towards a framework for scaling collaborations and evaluating impact. In Communications of the Association for Information Systems.

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(2018). Cyclic oxidation characteristics of HVOF thermal-sprayed NiCoCrAlY and CoNiCrAlY coatings at 1000° C. In Journal of Alloys and Compounds.

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(2017). MCDM selection of pulse parameters for best tribological performance of Cr–Al2O3 nano-composite co-deposited from trivalent chromium bath. In Journal of Alloys and Compounds.

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(2017). Comparison of Isothermal with cyclic oxidation behavior of “Cr-Aluminide” coating on inconel 738LC at 900 C. In Oxidation of Metals.

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Teaching

Teaching assistant for the following courses:

  • COMM 190: Introduction to Digital Business and Technologies, Smith School of Business, Fall 2019 & Winter 2020
    • Instructed Business Intelligence, Business Process Model and Notation, App Development, ERPsim
  • Chem 1301: Discovering Chemical Structure, Western University, Fall 2017 & Fall 2018
  • Chem 1302: Discovering Chemical Energetics, Western University, Winter 2018 & Winter 2019
  • Chem 2213: Organic Chemistry for Life Sciences, Western University, Summer 2018 & Summer 2019
    • Led, supervised, and planned tutorials, assisted with instruction material, exams, and record keeping

Awards

Honorable Mention Award (ASAC 2020, IS Division)

  • Issued by: Administrative Sciences Association of Canada
  • Year: 2020

Mitacs Business Strategy Internship

  • Issued by: Mitacs
  • Year: 2020

Special Dean’s Award

  • Issued by: Queen’s University
  • Year: 2020

PSAC 610 Outstanding Research Contributions Scholarship

  • Issued by: University of Western Ontario
  • Year: 2019

Smith School of Business Award

  • Issued by: Queen’s University
  • Year: 2019

CLS Graduate and Post-Doctoral Student Travel Support Award

  • Issued by: Canadian Light Source
  • Year: 2018, 2019

CMC -NanoCanada Conference Support Award

  • Issued by: NanoOntario Inc.
  • Year: 2018

WISE ( Western’s Ideas for Sustainability and the Environment ) Competition Award

  • Issued by: University of Western Ontario
  • Year: 2018

Nanofabrication Supporting Award

  • Issued by: Western Nanofabrication Facility
  • Year: 2017

Western Graduate Research Scholarship

  • Issued by: University of Western Ontario
  • Year: 2017

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