Hadi Jahanshahi

Ph.D., Mechanical and Industrial Engineering - A+

Data Science Lab

M.S., Industrial Engineering

Industrial Engineering Department

B.A.; Industrial Engineering, Systems Planning & Analysis

Industrial Engineering Department

Senior Data Scientist

• Working on Product Recommendations to customers in the Marketing Team

Smart Reply System for Doctors

• Designing a Smart Reply System to facilitate doctor-patient chats
• Conducting research using Seq2seq, BERT, and LSTM to address auto response generation in medical contexts
• This work is supported and funded by Mitacs through the Mitacs Accelerate Program [Link].

Assigning Couriers to Meal Delivery Orders

• Automating the assignment of meal delivery orders to couriers while maximizing the long-run income
• Conducting research using Deep Reinforcement Learning algorithms
• Adopting Prioritized Experience Replay, Dueling Double Deep Q-networks (D3QN), and hard & soft updates for the network weights

Classifying Grocery Products Based on Their Description

• Classifying multi-level product categories
• Adopting the state-of-art NLP models (including BERT, XLM, RoBERTa)
• Developing task-specific methodology and establishing a strong baseline for the multi-level grocery product classification task

Bug Triage in Open-Source Issue Tracking Systems

• Manually Extracting bugs’ and developers’ information from Bugzilla via API
• Automating bug triage in Bugzilla by adopting Natural Language Processing, Machine Learning, Reinforcement Learning, Approximate Dynamic Programming, Simulation, and Optimization (Integer Programming)
• Designing the experiment from scratch, including mining datasets, defining models, implementing them, comparing with the state-of-the-art baselines, validating the process, and reporting the observation in three journal papers.
• It was the topic of my Ph.D. dissertation and was partially funded by NSERC Discovery Grant. [Link]

Executive Manager & Data Analyst

• Executive Manager, Dealers Manager, and Data Analyst
• Received Confirmation of Directors' Satisfaction
• Technical Analysis and Marketing
• Planner and Coordinator of organization operations

Reinforcement Learning

Score: A+

Data Mining and Prescriptive Analytic

Score: A+

NLP (Text Mining)

Score: A+

Machine Learning

Score: A+

Data Mining

Score: A+

Programming Language (C)

Score: A+

Sessional Instructor

• CIND 123: Data Analytics: Basic Methods
  • R programming

Data Science Researcher

• Collaborated on papers related to Machine Learning, Software Engineering, and Data Science
• Worked on Your Doctors Online project to generate smart replies in medical chat services
• Delivered two projects with Getir company on the meal delivery problem and the grocery product categorization
• Carried out software engineering projects on automating Bug triage in Bugzilla
• Conducted and scheduled bi-weekly meetings of Data Science Lab members since 2018

Guest lecturer; Master of Data Science program

• DS 8010: Interactive Learning in Decision Process
  • Deep Reinforcement Learning

Guest lecturer; Bachelor of Industrial Engineering

• IND 405: Introduction to Data Science and Analytics
  • Python programming

Teaching Assistant; Master of Data Science program

• DS 8010: Interactive Learning in Decision Process
  • Python programming
• DS 8002: Machine Learning
  • Python programming
• DS 8004: Data Mining and Prescriptive Analysis
  • Python programming
• DS 8003: Management of Big Data and Big Data Tools
  • Hadoop, Spark, and Pig

Teaching Assistant; Bachelor of Industrial Engineering

• IND 405: Introduction to Data Science and Analytics
  • R and Python programming
• IND 708: Information Systems
  • Microsoft Excel and Microsoft Access

Teaching Assistant, Continuing Education at Raymond Chang School

• CMTH 642: Data Analytics: Advanced Methods
  • R programming
• CIND 840: Practical Approaches in Machine Learning
  • Python programming

• CIND 719: Big Data Analytics Tools
  • Hive, Hadoop, Spark, and Pig

• CIND 123: Data Analytics: Basic Methods
  • R programming

• CIND 110: Data Organization for Data Analysts
  • SQL