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Office Assistant Python

Richmond Hill, ON, Canada
March 21, 2020

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Toronto, Ontario 647-***-****


University of Toronto Toronto, Ontario

Honours Bachelor of Science . September 2017- Present

• Majors in Math and Statistics, Minor in Computer Science

• Activities: Member of the D-League Women’s Soccer Team, HanVoice Outreach Committee

• Relevant Coursework: Advanced Multivariable Calculus (MAT237), Linear Algebra (MAT223 & MAT224), Statistical Methods for Machine Learning (STA314), Ordinary Differential Equations (MAT244), Software Design (CSC207), Introduction to the Theory of Computation (CSC236), Probability and Statistics (STA257 & STA261), Methods of Data Analysis (STA302 & STA303)


In-Game Presentation / Varsity Blues Marketing & Promotions Team September 2018- Present University of Toronto Toronto, Ontario

• Plans and implements all game day activities at the Varsity Blues women’s and men’s basketball, hockey, football and volleyball home games

• Highly interactive team member who acts as a catalyst to encourage an energetic and entertaining atmosphere at all home games

• Managing the prize tables and handing out fan giveaways

• Running in-game contests, interacting with a wide variety of people with on-field/ice/court activations, distributing promotional tasks

• Assisting in the development and implementation of strategic objectives to deliver professional events Office Assistant February 2017- June 2018

Alborz Educational Centre North York, Ontario

• Operating and maintaining machines in the office such as the computers, voice mail systems, scanners, and photocopiers

• Filing, sorting, copying and compiling records on various activities such as business transactions

• Updating and maintaining database, mailing, inventory, and filing systems (either using a computer or manually)

• Taking messages, direct calls and answering phone calls ADDITIONAL SKILLS

• Experience with Python, Java and Git

• With the statistical programming language R :

Experience with Rstudio, Rmarkdown

Implementing various models and data exploration techniques including Regression((Multiple,Logistic)/General Linear Models/ General Linear Mixed Models),Ridge/Lasso,Splines, K-means

Implementing Re-sampling methods such as Bootstrapping and K-fold Cross Validation

• Proficiency in Excel, Microsoft Word and PowerPoint

• Initiative/ Problem Solving/ Professionalism/ Adaptability/ Leadership

• Fluent in Farsi

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