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We are pleased to invite you to Data for Good – Waterloo Region’s third event! Join us as we illustrate the technical aspects of the Datathon process through a live walkthrough of a really cool data science problem!

Two of our fabulous volunteers, Mandy Gu and Ruoyu Qian, will take us through a step-by-step walkthrough that uses the 2018 Kaggle Machine Learning & Data Science Survey dataset (https://www.kaggle.com/kaggle/kaggle-survey-2018) to answer the following question: how can we predict the job title of a data science professional based on their skills and qualifications?

Through this premise, Mandy and Ruoyu will illustrate:
– Translating a business problem into an analytics problem
– Exploratory data analysis and data wrangling
– Text mining and feature creation
– Classification using machine learning techniques
– Interpreting the results

Schedule of activities:
6:30 – 7:00 Arrive, grab food, network
7:00 – 8:00 Case study walk-through and analysis
8:00 – 8:30 Network, departure

Thank you very much to Communitech for providing space for our event at their Kitchener office (note: this is a different location from the Communitech Data Hub in Waterloo, where we held our kickoff event)!

About Mandy and Ruoyu:

Mandy Gu is a Computational Linguist at Kiite.ai, where she tackles problems related to natural language processing and understanding. Her main domain of work is using deep learning to tackle text-related problems. In her spare time, Mandy likes to work on Kaggle challenges and maintains a technical blog on machine learning (http://medium.com/@mandygu).

Ruoyu Qian is a Data Analyst/Data Engineer at Bonfire Interactive, currently living in Waterloo. He graduated from Clarkson University with an MS in Data Analytics. Ruoyu is constantly experimenting with new technologies and techniques in the field of data analytics.

See https://www.meetup.com/Data-for-Good-WR/events/258311541/ for more details and to RSVP.