Data Analyst

Shuo Yu

Cell: 647-***-**** **F*-** Gerrard St. E.

E-mail: ****@*******.** Toronto, ON M5B 1G7

SKILLS

• Comprehensive knowledge of computer networks, D2D (device-to-device) communications and resource allocation techniques.

• Solid background in programming languages including Python, JavaScript and MATLAB, etc.

• Well versed with office software sets such Microsoft Office, G Suite, Adobe Acrobat, etc.

• Knowledgeable about the basics of data preprocessing and data manipulation.

• Sufficient experience in data analysis of large datasets (csv files, images, texts, etc.)

• Proficient in Python libraries such as Numpy, Pandas, Scikit-learn, Matplotlib, etc.

• Hands-on experience in MySQL queries, including data manipulations, functions, triggers, etc.

• Have a strong knowledge in math and statistics in regard to machine learning models and neural network theories.

• Familiar with shell scripting and Linux shell commands.

• Proficient with software such as Jupiter Notebook, Tableau, LaTeX.

• Experience with both supervised learning (prediction and classification) and unsupervised learning (clustering, association) in data mining analysis.

• Excellent customer service in a professional environment.

• Effective planning and organizing skills; stellar oral and written communication skills.

• Ability to present ideas in a user-friendly language and exchange ideas in a multicultural workplace; Ability to collaborate with team members, make decisions and solve problems. PROFESSIONAL EXPERIENCE

Ryerson University, Toronto, Canada Sept. 2015-Present WINCORE Lab – Research Assistant

• Currently working on electricity load forecasting using artificial neural networks and support vector machine algorithms and in collaboration with a Research Associate on the topic of classification using machine learning algorithms.

• Familiarised myself with the use of Python for Machine Learning, including libraries such as Numpy, Pandas, Scikit-learn, Matplotlib, etc.

• Submitted a journal paper regarding comparison of different resource allocation algorithms in energy harvesting assisted D2D networks.

• Collaborated with post-doctoral fellow on the topic of energy harvesting assisted D2D communications, published and presented the paper at the 86th Vehicular Technology Conference.

• Created an energy harvesting assisted D2D model using MATLAB and applied OPTI tool box to solve the optimization problem.

• Reviewed dozens of papers on resource allocation techniques in D2D communications and published a paper in Wireless Personal Communications. Ryerson University, Toronto, Canada Sept. 2016-Present Computing and Communications Services (CCS) – Lab Advisor

• Provided university students, staff and faculty with technical support on the following applications: Microsoft Office Suite, Google Doc, Internet Explorer and Adobe Acrobat Reader, etc.

• Offered technical support for MacBook and other apple devices.

• Performed password reset and webpage troubleshooting both over the phone and in person.

• Supervised the troubleshooting of printers and photocopiers at the facility.

• Devised the lost and found program at the facility.

• Assisted students in liaison with media services and maintenance department.

• Maintained objectivity and composure under stress.

• Performed training duties for new employees.

Ryerson University, Toronto, Canada Sept. 2016-May 2017 International Students Support (ISS) – Faculty Lead Mentor

• Helped incoming international students transition into new academic environment.

• Checked in with students one on one during regular office hours.

• Participated in weekly group meetings to discuss agenda.

• Brainstormed ideas for monthly international student events.

• Ordered food, booked venues, rented out musical instruments for the events.

• Served as an MC for internal meetings and events. Ryerson University, Toronto, Canada Sept. 2015-May 2017 Graduate Assistant

• Computer Networks – (OSI and TCP/IP architecture models, framing and error detection coding, CSMA, LAN & wireless LAN, IP addresses, subnetting and CIDR, ARP, ICMP, DNS and IPv6, etc.)

• Communication Systems – (Basic elements of communication systems, amplitude modulation and frequency modulation, random process and power spectrum, effects of noise in different types of receivers, etc.) EDUCATION

Master of Applied Science Student, Electrical and Computer Engineering Sept. 2015-Oct 2017 Ryerson University, Toronto, ON, Canada (GPA: A)

Bachelor of Engineering Degree, Telecommunications Engineering Sept. 2011-Aug 2015 Tianjin University, China (GPA: 3.7/4.0)

HONORS

• Ryerson Graduate Development Award, Ryerson University, 2016-2017

• ECE Graduate Research Excellence Award (GREA), Ryerson University, 2016

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