Summary
Overview
Work History
Education
Skills
Publications
Timeline
Generic

Farzaneh Zarei

Vaughan,ON

Summary

Highly experienced Data Scientis and software engineer with extensive expertise in research and development, emphasizing data acquisition, analysis, and the practical implementation of machine learning and deep learning solutions. Possessing a solid foundation in mathematics and statistics, and skilled in utilizing a range of tools including Python, Java, TensorFlow, Hadoop, AWS, GCP, SQL, Docker containers, and GitHub.

Overview

6
6
years of professional experience

Work History

Smart City Data Analyst Research Assistant & PhD Candidate

Concordia University
09.2017 - Current
  • As an innovative data scientist and urban planner with extensive experience in proposing, implementing, and evaluating data models for the built environment, I used Enterprise Architecture to draw UMLs, Java to develop Object Relation Mapping, and Python Flask to develop backend solutions. I also used PyTorch and TensorFlow to develop machine learning models to improve urban planning decision-making. Out of my work, I published five papers on developing and evaluating a data model for warehousing data for evaluating citizen comforts in the built environment. The main outcome of this research work was a reference architecture for automated urban decision-making, demonstrating a practical application of research findings.

Smart City Data Analyst Research Assistant

LS3 Lab, Toronto Metropolitan University
09.2019 - 09.2023
  • As an experienced data scientist with a strong background in data science machine learning, I developed an innovative approach for automatically extracting domain folksonomy, detecting dependency, and performing sentiment analysis, named entity recognition, and topic modeling from web reviews, using NLTK. Also, I have used different machine learning algorithm such as XGBoost, KNN, and SVM. The main outcome of this work was a significant improvement in the accuracy of the urban planning decision support system by integrating citizen reviews, providing valuable insights to urban planners.

Data Engineer

Arad ICT Engineering & Consult
11.2020 - 07.2020
  • As a skilled data engineer with experience in designing and implementing GCP data processing and machine learning pipelines, I designed the architecture of the data and machine learning pipeline and selected appropriate services and configurations to address company policies and ensured scalability, performance, financial efficiency, and security. The main outcome of this work was a set of detailed architecture documents that were used in the implementation phase of the pipeline. I have a proven track record of delivering high- quality work under tight deadlines, with excellent attention to detail and a strong focus on meeting business requirements. I was a collaborative team player with excellent communication and problem-solving skills.

Education

Ph.D. - Smart City And Data Analytics

Concordia University
Montreal, QC
2023

Master of Science - Machine Intelligence & Robotics

University of Tehran
Tehran, Iran
2014

Bachelor of Science - Software Engineering

Ferdowsi University Of Mashhad
Mashhad, Iran
2011

Skills

  • Machine Learning
  • Deep Learning
  • Algorithm Design
  • Data Structures
  • NLP
  • Python
  • Java
  • Apache Spark
  • Apache Kafka
  • PostgreSQL
  • MangoDB
  • Research
  • Statistics
  • Linear Algebra

Publications

·  Zarei, F., Nik-Bakht, M., 2020, "A Fuzzy Decision Maker for selecting the Index-Terms in the Citizen Engagement Research", Cities, Elsevier, 112, 103-137

·  Zarei, F., Basirat, A., Faili, H., Mirain, M., 2017, “A bootstrapping method for development of Treebank”, Journal of Experimental & Theoretical Artificial Intelligence, 29 (1), 19-42

·  Zarei, F., Faili, H., Mirain, M., 2015, “A machine learning approach for correcting the errors of a Treebank”, Signal and Data Processing, 12(3), 99-108

·  Zarei, F., Nik-Bakht, M., 2019, "Automated detection of urban flooding from news", accepted and presented in 36th International Symposium on Automation and Robotics in Construction. 

·  Zarei, F., Nik-Bakht, M., Hammad, A., 2019, "Visualization of Local Municipal Satisfaction by Twitter Data Analysis", in 7th CSCE International Construction Specialty Conference (jointly with Construction Research Congress). 

·  Zarei, F., Nik-Bakht, M., 2020, "Occupants' comfort at urban scale – Analyzing citizens opining using convolutional neural networks" in Building Performance Analysis Conference and SimBuild co-organized, Chicago, August 12-14, 2020.

Zarei, F., Abhay, M., Mock, M., Nik-Bakht, M., 2023, "Extracting domain folksonomy for the built environment - an automated approach", in 11th CSCE International Construction Specialty Conference (jointly with Construction Research Congress), Moncton, Canada, May 24-27, 2023

Timeline

Data Engineer

Arad ICT Engineering & Consult
11.2020 - 07.2020

Smart City Data Analyst Research Assistant

LS3 Lab, Toronto Metropolitan University
09.2019 - 09.2023

Smart City Data Analyst Research Assistant & PhD Candidate

Concordia University
09.2017 - Current

Ph.D. - Smart City And Data Analytics

Concordia University

Master of Science - Machine Intelligence & Robotics

University of Tehran

Bachelor of Science - Software Engineering

Ferdowsi University Of Mashhad

Similar Profiles

CREATE PROFILE
Farzaneh Zarei