Kamyar Azar
Data Scientist at Playground- Claim this Profile
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Persian Native or bilingual proficiency
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English Professional working proficiency
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French Elementary proficiency
Topline Score
Bio
Credentials
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Custom Models, Layers, and Loss Functions with TensorFlow
CourseraApr, 2021- Oct, 2024 -
The Complete SQL Bootcamp 2020: Go from Zero to Hero
UdemyNov, 2020- Oct, 2024 -
Accelerating TensorFlow with the Google Machine Learning Engine
LinkedInJun, 2020- Oct, 2024 -
Building Deep Learning Applications with Keras 2.0
LinkedInMay, 2020- Oct, 2024 -
Building and Deploying Deep Learning Applications with TensorFlow
LinkedInMay, 2020- Oct, 2024 -
NLP-Natural Language Processing with Python
UdemyMay, 2020- Oct, 2024 -
Tableau 2020 A-Z:Hands-On Tableau Training For Data Science!
UdemyMay, 2020- Oct, 2024 -
Machine Learning A-Z™: Hands-On Python & R In Data Science
UdemyApr, 2020- Oct, 2024 -
Deep Learning A-Z™: Hands-On Artificial Neural Networks
UdemyJan, 2020- Oct, 2024 -
Data analysis with R
Amirkabir University of Technology - Tehran PolytechnicSep, 2018- Oct, 2024 -
Introduction to Weka
Amirkabir University of Technology - Tehran PolytechnicOct, 2017- Oct, 2024 -
Microsoft Excel-Advanced
Iranian Academic Center for Education, Culture, and research (ACEER)Jun, 2017- Oct, 2024 -
Introduction to Microsoft Excel
Iranian Academic Center for Education, Culture, and research (ACEER)Apr, 2017- Oct, 2024 -
C programming course
Iranian Academic Center for Education, Culture, and research (ACEER)Mar, 2017- Oct, 2024 -
Introduction to Matlab
Amirkabir University of Technology - Tehran PolytechnicSep, 2016- Oct, 2024
Experience
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Playground
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Technology, Information and Internet
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1 - 100 Employee
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Data Scientist
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Apr 2022 - Present
- Utilized cutting-edge machine learning techniques and advanced algorithms (e.g., regression, clustering, decision trees, gradient boosting, neural networks) with libraries such as scikit-learn and TensorFlow to optimize data analysis and solve business problems from structured data sources. - Leveraged natural language processing (NLP) techniques and Large Language Models (LLMs) for extracting insights from unstructured data sources, such as Google Map reviews and pdf files. - Developed… Show more - Utilized cutting-edge machine learning techniques and advanced algorithms (e.g., regression, clustering, decision trees, gradient boosting, neural networks) with libraries such as scikit-learn and TensorFlow to optimize data analysis and solve business problems from structured data sources. - Leveraged natural language processing (NLP) techniques and Large Language Models (LLMs) for extracting insights from unstructured data sources, such as Google Map reviews and pdf files. - Developed and maintained a Python-based toolkit (utilizing libraries like SQLAlchemy, Numpy, and Pandas) for efficient data extraction, cleaning, transformation, and loading from various sources, supporting both reporting and machine learning projects. - Collaborated with stakeholders to gather requirements, generate actionable insights, and provide data-driven recommendations for decision-making. - Conducted extensive experimentation and analysis of large datasets using Python (NumPy, Pandas) to uncover hidden relationships, patterns, and correlations, aligning with business objectives. - Maintained and managed Tableau Server, ensuring the availability and accessibility of data visualizations across the organization. - Created and delivered customized reports, visualizations, and dashboards using Tableau Desktop and Tableau Prep to facilitate quick data analysis and decision-making. - Employed Django and Flask frameworks to proficiently deploy and host the machine learning projects and applications, ensuring seamless integration and accessibility for stakeholders. Show less - Utilized cutting-edge machine learning techniques and advanced algorithms (e.g., regression, clustering, decision trees, gradient boosting, neural networks) with libraries such as scikit-learn and TensorFlow to optimize data analysis and solve business problems from structured data sources. - Leveraged natural language processing (NLP) techniques and Large Language Models (LLMs) for extracting insights from unstructured data sources, such as Google Map reviews and pdf files. - Developed… Show more - Utilized cutting-edge machine learning techniques and advanced algorithms (e.g., regression, clustering, decision trees, gradient boosting, neural networks) with libraries such as scikit-learn and TensorFlow to optimize data analysis and solve business problems from structured data sources. - Leveraged natural language processing (NLP) techniques and Large Language Models (LLMs) for extracting insights from unstructured data sources, such as Google Map reviews and pdf files. - Developed and maintained a Python-based toolkit (utilizing libraries like SQLAlchemy, Numpy, and Pandas) for efficient data extraction, cleaning, transformation, and loading from various sources, supporting both reporting and machine learning projects. - Collaborated with stakeholders to gather requirements, generate actionable insights, and provide data-driven recommendations for decision-making. - Conducted extensive experimentation and analysis of large datasets using Python (NumPy, Pandas) to uncover hidden relationships, patterns, and correlations, aligning with business objectives. - Maintained and managed Tableau Server, ensuring the availability and accessibility of data visualizations across the organization. - Created and delivered customized reports, visualizations, and dashboards using Tableau Desktop and Tableau Prep to facilitate quick data analysis and decision-making. - Employed Django and Flask frameworks to proficiently deploy and host the machine learning projects and applications, ensuring seamless integration and accessibility for stakeholders. Show less
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Concordia University
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Canada
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Higher Education
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700 & Above Employee
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Research Assistant
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Sep 2019 - Feb 2022
As a research assistant at Concordia University, my mission was to develop a state-of-the-art condition-based maintenance model to predict the failure of a system using machine learning and deep learning methods. To accomplish this, I conduct a literature review to get a general picture of the problem and the research accomplishments in this field. After finding the right data set, I analyzed the data and coded different models in Python. I reported on the status of research activities… Show more As a research assistant at Concordia University, my mission was to develop a state-of-the-art condition-based maintenance model to predict the failure of a system using machine learning and deep learning methods. To accomplish this, I conduct a literature review to get a general picture of the problem and the research accomplishments in this field. After finding the right data set, I analyzed the data and coded different models in Python. I reported on the status of research activities regularly to my supervisor and interpreted and summarized the research findings into reports and manuscripts for publications. During this time, we published a paper in a well-known conference proceeding, and three more journal papers are in process.
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Teaching Assistant
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Dec 2019 - Apr 2020
As the teaching assistant of INSE 6411-Product Design Theory and Methodology course, I assist the teacher to grade the projects, quizzes, and exams.
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Data Analyst
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Apr 2019 - Aug 2019
As a part of my bachelor thesis, I had this opportunity to work with a company that specialized in the sale and repair of laptops, cell phones, and tablets spare parts. I was responsible to understand and analyze a huge database to derive insights about their operation and recommend actions for improvement. To do so, I wrote lots of complex queries to extract data from a SQL database. After cleaning and preprocessing the data and group meeting with the managers and employees, I… Show more As a part of my bachelor thesis, I had this opportunity to work with a company that specialized in the sale and repair of laptops, cell phones, and tablets spare parts. I was responsible to understand and analyze a huge database to derive insights about their operation and recommend actions for improvement. To do so, I wrote lots of complex queries to extract data from a SQL database. After cleaning and preprocessing the data and group meeting with the managers and employees, I visualized our findings, some pre-defined metrics, and KPIs to show and summarize the system performance and recommendations for improvement. Afterward, I deployed a set of ML models to predict the repair time of an item and came up with the idea of using association rules for the task assignment. Working with a company was a great experience for me to improve my skills and employ them in a real-world problem. Besides improving my technical skills, it was a precious experience for me to enhance my soft skills, like team working, communication, and critical thinking. Show less As a part of my bachelor thesis, I had this opportunity to work with a company that specialized in the sale and repair of laptops, cell phones, and tablets spare parts. I was responsible to understand and analyze a huge database to derive insights about their operation and recommend actions for improvement. To do so, I wrote lots of complex queries to extract data from a SQL database. After cleaning and preprocessing the data and group meeting with the managers and employees, I… Show more As a part of my bachelor thesis, I had this opportunity to work with a company that specialized in the sale and repair of laptops, cell phones, and tablets spare parts. I was responsible to understand and analyze a huge database to derive insights about their operation and recommend actions for improvement. To do so, I wrote lots of complex queries to extract data from a SQL database. After cleaning and preprocessing the data and group meeting with the managers and employees, I visualized our findings, some pre-defined metrics, and KPIs to show and summarize the system performance and recommendations for improvement. Afterward, I deployed a set of ML models to predict the repair time of an item and came up with the idea of using association rules for the task assignment. Working with a company was a great experience for me to improve my skills and employ them in a real-world problem. Besides improving my technical skills, it was a precious experience for me to enhance my soft skills, like team working, communication, and critical thinking. Show less
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Amirkabir University of Technology - Tehran Polytechnic
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Iran
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Higher Education
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700 & Above Employee
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Teaching Assistant
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Jan 2019 - May 2019
As the teaching assistant of the Data Analytics course, I was responsible to create and translate the lecture slides. I held prep exam and lesson review sessions to prepare students for the midterm and final exams. Also, I helped the teacher to grade the project and the exams as well. I also hold workshop sessions on Data Analysis with R. During these workshop sessions, I was teaching the student how to preprocess and prepare the data, use different supervised and unsupervised machine… Show more As the teaching assistant of the Data Analytics course, I was responsible to create and translate the lecture slides. I held prep exam and lesson review sessions to prepare students for the midterm and final exams. Also, I helped the teacher to grade the project and the exams as well. I also hold workshop sessions on Data Analysis with R. During these workshop sessions, I was teaching the student how to preprocess and prepare the data, use different supervised and unsupervised machine learning models, and visualize the data and the results in R.
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Teaching Assistant
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Jan 2018 - May 2019
As the teaching assistant of Engineering Statistics course, I assist the teacher to grade the quizzes and exams. I also hold a workshop session on Data Analysis with Weka. In this workshop, I was responsible to familiarize the students with Weka, and guide them step-by-step through a Market Basket Analysis case study using an association rule method (Apriori algorithm).
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Teaching Assistant
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Sep 2017 - May 2019
As the teaching assistant of Probability Theory & Applications course course, I assist the teacher to grade the quizzes and exams.
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Education
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2019 - 2022
Concordia University
Master of Science - MS, Quality Systems Engineering -
2015 - 2019
Amirkabir University of Technology - Tehran Polytechnic
Bachelor's degree, Industrial Engineering
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