Biography
I am Reza, a data scientist and statistician with a PhD in Statistics from the University of Waterloo. My research interests revolve around the intersection of data science, statistics, and AI technologies. Specifically, I am passionate about exploring machine learning approaches, leveraging AI techniques, and developing innovative solutions in the field of data analysis and prediction.
Interests
- Data Science
- Statistics
- Machine Learning
- Artificial Intelligence
- Neurology
Education
PhD in Statistics, 2021
University of Waterloo
MSc in Statistics, 2017
University of Waterloo
Skills
Statistics
100%
Data Science
100%
Python
80%
R
80%
SQL
90%
NLP | LLM
80%
Experiences
Data Scientist
Responsibilities include:
- Analysing
- Modelling
- Implementing
Statistical Consultant
Stats Club, University of Waterloo
Responsibilities include:
- Consulting
Lecturer of Statistics
Taught statistics and probability courses.
Projects
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This project scrapes detailed data from AI-related videos on YouTube and offers visualization insights based on the collected information.
This project involves YouTube video transcription, summarization, and content analysis which empower users to extract valuable insights, save time, and enhance their understanding of video content. These tools are invaluable for content creators, researchers, and anyone looking to navigate the rich and diverse world of YouTube videos with ease and efficiency.
The purpose of this project is to deploy a Python-based application for object detection within both images and videos. Leveraging the powerful capabilities of the OpenCV library, this code employs a range of its methods to accurately locate and track objects of interest.
This project aims to discover hidden anomalies in data to improve system integrity by mastering anomaly detection, combined with root cause analysis.
Recent Publications
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(2023).
Medium-Fidelity Evaluation and Modeling for Perception Systems of Intelligent and Connected Vehicles.
IEEE Transactions on Intelligent Vehicles.
(2023).
Human Inspired Autonomous Intersection Handling Using Game Theory.
IEEE Transactions on Intelligent Transportation Systems.
(2021).
Valid Post-Detection Inference for Change Points Identified Using Trend Filtering.
arXiv e-prints.
(2021).
Detection of Change Points in Piecewise Polynomial Signals Using Trend Filtering.
arXiv e-prints.
(2019).
Prediction of future failures times based on Type-I hybrid censored samples of random sample sizes.
Communications in Statistics-Simulation and Computation.
Contact
Connect with me
- valiollahi.reza@gmail.com
- Waterloo, Ontario