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January 11, 2022

[Webinar] Panel Discussion: Finding Job Success Through Bootcamps

About the Event

From career switching to up-skilling, there are many reasons to join a Bootcamp. For example, Bootcamps are a great way to gain hands-on experience and confidence in your skills.

At WeCloudData, students receive support from the beginning with our pre-Bootcamp, to their job search process with our mentorship program and career support services.

In this event, you will learn more about:

– Benefits of joining a Bootcamp
– Bootcamp experience
– Process of applying for data jobs (e.g. Data analyst, data scientist, data engineer)
– What it’s like working in the field (from Bootcamp graduates’ experiences)

Event Details
6:30 pm -
 8:00 pm EST/EDT
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Speakers shapes graphic
Aaron Wu
Data Engineer @ Coherent Path
Aaron Wu has a bachelor’s degree in Mineral Engineering from the University of Toronto. Before joining the bootcamp, he had one year of experience working as an admin assistant and a few months of experience as a geology technician. However, he found his passion in data and decided to join WeCloudData. Now he is a Data Engineer at Coherent Path. He builds data pipelines and runs A/B tests to analyze results and give recommendations.
Sarav Thangaraj
Data Scientist, ALDO Group
Sarav Thangaraj has a B.Tech and MBA. His past experiences include working as a Business Consultant (Strategy Consulting) at Frost & Sullivan as well as a Management Trainee (Business Performance) at HCL Technologies. Currently, he is a Data Scientist at ALDO Group, where he: – Collaborates with business teams to identify opportunities to drive business value by leveraging advanced analytics especially machine learning – Owns and leads data science projects from start to finish in areas such as CRM, Store Ops, Product Recommendation, Price Optimization, and Network Planning – Presents findings and updates to business stakeholders and senior management – Works with the data engineering/ IT team to productize ML models and enhance data quality/ availability – Mentors data analysts and junior data scientists in the organization
Stan Taov
Data Engineer @ Telus
Stan Taov is a professional data engineer with hands-on experience in building, validating and deploying machine learning models and creating end-to-end data pipelines. He is passionate about all things data. Stan has strong knowledge of converting business problems into analytical use cases and enjoys solving problems and building data-driven architecture. Stan has a passion for big data technologies and machine learning. Stan finished the Applied Data Engineering diploma program from WeCloudData and York University’s machine learning and predictive analytics certification programs. Stan switched his career multiple times, he moved from civil engineering to business and marketing and from the business field, he moved to data engineering. Currently, Stan works for Telus where he foresees and solves any operational issues with the on-prem cluster. He builds ETL pipelines and deploys spark analytical workloads.
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