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© 2019 by Arash Tavassoli

Education

Data Science Diploma (Full-Time)

BrainStation, Vancouver, BC

March 2019 - June 2019

Self-Directed Studied in Data Science

Coursera and Udemy

  • Self-motivated Data Science studies with certificates from 20+ courses on Coursera and Udemy (see below)

August 2018 - Present

Registered Professional Engineer (P.Eng.)

The Association of Professional Engineers and Geoscientists of British Columbia

Registered Since April 2018

Master of Applied Science

Mechatronic Systems Engineering
School of Mechatronics Engineering

Simon Fraser UniversitySurrey, BC

  • Thesis: Investigating the Local Membrane Degradation Mechanisms in PEM Fuel Cells

  • Achievements: Published 2 journal papers and 1 conference paper as first author

  • GPA: 4.33/4.33

2012-2014 (2 years)

Bachelor of Science

Mechanical Engineering 

School of Mechanical Engineering

University of Tehran, Tehran, Iran

  • Capstone Project: Optimization of Active Flat‐Plate Solar Collectors Using Genetic Algorithm (in MATLAB)

  • GPA: 85/100

2006-2011 (4.5 years)

Experience

Research Assistant

SFU Fuel Cell Research Lab

@ MagPower Systems

White Rock, BC | 2014-2015 (6 months)

  • Developed a novel Mg-Air battery design concept, leading to expected 30% reduction in manufacturing costs of the final product

  • Established test protocols, and conducted performance testing and data analysis on competing concepts

@ Mercedes-Benz Fuel-Cell

Burnaby, BC | 2014 (3 months)

  • Studied the break-in conditioning protocols for commercial PEM fuel cell stacks with respect to process costs, cycle times and integrability in MBFC's manufacturing facility in Burnaby, BC

@ Ballard Power Systems

Burnaby, BC | 2011-2014 (2+ years)

  • Worked as a part of SFU’s $12M national flagship research project on heavy-duty fuel-cells with Ballard Power System and developed a set of experiments to understand the effects of manufacturing defects on degradation of PEM fuel cells

  • Implemented accelerated stress testing on proposed models and concluded a correlation between catalyst-layer related defects and local degradation of PEMFC membranes (results published in Journal of Power Sources, 2016)​​

2011-2015 (3 years and 4 months)

Teaching Assistant

Engineering Measurement and Data Analysis

Simon Fraser UniversitySurrey, BC

2013 (4 months)

Senior Engineer, Consultant

Neovasc Medical, Richmond, BC

  • Continued supporting the manufacturing operations of Tiara  and provided consultation during transition of my role to a new hire

March -May 2019 (3 months)

Manufacturing Engineer, Operations

Neovasc Medical, Richmond, BC

  • Lead Manufacturing Engineer for production activities of a Class III medical device 

  • Supported product’s continuous improvement projects, regulatory submissions, design changes and verification studies, also managed the production flow, inventory levels and daily activities of 2-4 production technicians

  • Developed and maintained a series of Excel-based, interactive, inventory tracking dashboards as a mini-ERP system within production 

  • Interfaced with global suppliers and partnered with multidisciplinary teams in development of product’s risk management tools (FMEAs, PCPs) and 100+ quality system reports compliant to ISO 13485 quality management system

2015-2019 (3 years and 10 months)

2019

2018

2017

Teaching Assistant, Data Science

BrainStation, Vancouver, BC

  • Guiding the full-time Data Science students on lab assignments and capstone projects

  • Assisting the lead educator with graded work submissions 

June 2019 - present

2016

2015

2014

2013

2012

2011

2020

Data Science Study Roadmap:

On-Campus

Online, Self-Directed

(Please visit my LinkedIn page for links to verified course certificates)

MOOC PLATFORM

COURSE NAME

STATUS

SKILLS

Level:

Intermediate to Advanced

  • Machine Learning (by Andrew Ng) 

  • Neural Networks and Deep Learning

 

 

  • Improving Deep Neural Networks 

  • Structuring Machine Learning Projects

  • Convolutional Neural Networks

  • Sequence Models

 

Completed

Completed

 

 

Completed

Completed

In Progress

In Queue

  • Neural Networks

  • SVM

  • Linear Regression

  • Logistic Regression

  • Unsupervised Learning

  • Diagnosing Bias vs. Variance

  • Shallow vs. Deep Neural Networks architecture

  • Deep Neural Network for Image Classification

Level:

Fundamental to Intermediate

  • Python Data Structures

  • Using Python to Access Web Data

  • Using Databases with Python (SQL)

  • Intro to Probability and Data

  • Inferential Statistics   

  • Linear Regression and Modeling

 

 

  • R Programming   

  • Getting and Cleaning Data   

  • Exploratory Data Analysis   

  • Reproducible Research 

  • Statistical Inference  

  • Regression Models  

  • Practical Machine Learning

  • Developing Data Products

Completed

Completed

Completed

Completed

Completed

Completed

Completed

Completed

Completed

Completed

Completed

Completed

Completed

Completed

  • Python fundamentals incl:

    • Data Structures

    • Functions

    • Regular Expressions

    • Python and SQL

  • Probability and Data:

    • Probability Distributions

    • Principles of Experimental Design

  • Inferential Statistics:

    • Central Limit Theorem and Confidence Interval

    • Inference and Significance

    • Hypothesis Testing (t-tests, Chi-Square and ANOVA)

  • Linear Regression and Modeling:

    • Correlations​

    • Outliers

    • Model Selection

  • Data Science in R:

    • Data Structures in R

    • Data Cleaning and EDA

    • Statistical Inference and hypothesis testing in R

    • Regression Models and ML in R

    • Data Visualization in R

    • R-Markdown

    • Data Products (Shiny)

Level:

Intermediate to Advanced

  • Python for Data Science and Machine Learning Bootcamp

Completed

  • Python libraries incl:

    • NumPy

    • Pandas

    • Matplotlib

    • Seaborn

    • Plotly

    • Scikit-Learn

Level:

Fundamental to Intermediate

  • Complete Python 3 Bootcamp

  • Hands-On Tableau 10 Training For Data Science

  • Microsoft Excel 2013 Advanced

  • Complete SQL Bootcamp

Completed

 

 

Completed

Completed

 

 

Completed

  • Python fundamentals incl:

    • OOP with Python

    • Modules & packages

    • Methods & functions

    • Data structures

  • Data visualization in Tableau:

    • Plots​

    • Dashboards

    • Story lines

  • Handy Excel features incl:

    • VLOOKUPs and IFs​

    • Pivot Tables

    • Basic Macros

  • SQL queries in PostgreSQL:

    • Creating and altering databases

    • Joining, grouping and aggregations

Full Time Diploma Program in Data Science

BrainStation Vancouver

March - June 2019