Answers to questions before you ask them... I bet you have a EEG-hat on.... you should check out my mnist_brain repo
I am a 3nd year Cognitive science major, with a background in ML and cyber-sec. I did first year comp sci, then transfer into SFU cog sci, became VP for the cogs student society.
I am interested in applying ML to security, biomed-imaging, marketing... or whatever the business demands
I am currently working on the mnist-brain dataset, and taking a researched based ML course
last week, I was offered a volunteer position at the machine learning and data mining lab,
This month I’ve went to NWHacks2020, CCDC and my team won 2nd, the other SFU team won 3rd place
- Heavily automated the Digital Forensics investigation process.
- Solely handled Incident Response on all Canadian endpoints for two weeks.
- Preformed basic reverse engineering to modify a program's execution.
- Conducted inventories of internet-facing assets.
- Audited endpoints and firewalls for compliance.
- Assisted in drafting the Technical Architecture and Security Document, for the purchase & deployment of a North America wide EDR solution.
- Deployed and Evaluated new software and conducted acceptance testing. Some of the softwares are ELK (an open-source SIEM), Identity and Access Management solutions, and ALSID, an active directory monitoring solution.
- I chose my CO-OP report to be on Anomaly detection for finding abnormalities in both network traffic and financial data. I used my learnings to expand my Time Series Forecasting skills.
working with poor documentation for non-code products (nessus scanner config)
a place where my work is stimulating and challenging, I don’t like to lay around doing nothing. ideally flexible hours, so a can work 6h one day, and 10h the next... life doesnt like 8h days very much.
Can you explain why you’ve bounced around to many different types of roles (in unrelated areas)?
prevents burnout. Trust me, i’m a cogs major :)
- I’ve heard google does this for the same reason.