Vida Fathi Email & Phone Number

Oakville, Ontario, Canada

Ontario, Canada

Montreal, Quebec, Canada

• Documented the responses of more than 200+ calls a day to survey questions which results in better decision making
• Gathered people's opinions for studies such as pipelines in Canada, gold mine environmental assessments and pandemic effects on Canadian mental health etc.
• Built customer rapport by placing follow-up calls for customers
• Worked with upper management to ensure appropriate changes were made to improve customer satisfaction and created then implemented procedures to obtain required information and support research goals
• Used strong and eloquent speaking skills in delivering questions to survey participants by phone and prompting responses to complete questionnaires

Toronto, Ontario, Canada

• 14-week intensive online training on the fundamentals of computer technology, and project management
• Effectively complete a capstone project by collecting data from multiple sources, performing exploratory data analysis, data wrangling, statistical analysis and mining of the data using Python libraries
• Work extensively on creating charts and plots to visualize data, and building an interactive dashboard using IBMs Cognos Analytics and various Excel charts/graphs
• Visualize data using Python libraries including Matplotlib, Seaborn, Plotly and Dash
• Compose queries to access data in cloud databases using SQL and Python from Jupyter notebooks
• Explain cloud concepts, benefits of cloud computing and core Azure architecture components

Montreal, Quebec, Canada

• Graded assignments, mid-terms, finals and held office hours weekly to assist students with the material of the course
• Assisted teachers with classroom management and document coordination to maintain a positive learning environment

Montreal, Quebec, Canada

• Collaborated with faculty members to develop new approximation models and machine learning algorithms which resulted in using solving large-scale and computationally complex mathematical models without the dependency.
• Designed and implemented a near-optimal controller for deep structured teams with a non-linear term
• Developed reinforcement learning algorithms using an artificial neural network to reduce computational cost and improve sample complexity
• Reported to the supervisor on a daily basis and created monthly slide presentations to present to the mentor
• Troubleshoot problems using MATLAB and try and error for proper actions and expanded improvement initiatives

Jr. Data Analyst Program

• 14-week intensive online training on the fundamentals of computer technology, and project management • Effectively complete a capstone.

Master'S Degree, Electrical And Computer Engineering

Thesis Title: Reinforcement Learning in Linear Quadratic Deep Structured Teams with Performance Guarantee Courses: System Optimization.

Bachelor’S Degree, Electrical And Computer Engineering

Bachelor thesis title: Simulation of a Solar Power Plant

Master'S Degree, Electrical And Electronics Engineering