I applied online. The process took 4 weeks. I interviewed at ProCogia in Aug 2024
No offer
Negative experience
Easy interview
Application
I applied through a recruiter. The process took 1 day. I interviewed at ProCogia (Vancouver, BC) in May 2022
Interview
Clown-show of a company.
Started off with recruiter reaching out to me on LinkedIn to have a quick chat about an "exciting new opportunity in consulting", so I figured sure why not? The interview itself was supposed to be a 2-round process, and they sent an intern to interview you for the first round.
Not that I have anything against interns, but their intern did not know what the job description was, did not know the salary range and could not even tell me if the job was remote, hybrid or in-office. Everything was "I'll have to check with the hiring manager, and get back to you"
And of course, the next day they sent me a rejection letter lol. I mean cmon, I didn't even apply for the job (seeing as they couldn't even tell what the job was about besides the job title)
A hilarious waste of time.
1 technical HR round, 2 Technical Rounds , Hiring manager round.
Hiring team doesnt respond quickly, they wont send final mail even if you have given all rounds very well. Process is not so smooth
I applied in-person. The process took 1 day. I interviewed at ProCogia (Surrey, BC) in Sep 2019
Interview
First step: 1h test on Codewriting with 1 coding and 12 quiz tasks. Coding: table data.csv, output the answers to these questions: 1) How many total customers are in the dataset? 2) How many customers are in each city? 3) How many customers are in each country? 4) Which country has the largest number of customers' contracts signed in it? How many contracts does it have? 5) How many unique cities have at least one customer in them? Below some quiz questions.
Interview questions [3]
Question 1
You need to run a clustering algorithm on n objects, which minimizes the sum of the distances from each object to its centre of each clusters. How do you get the right number of clusters?
Which of the following methods do we use to find the line of the best fit for data in Linear Regression? A) Least Square Error B) Maximum Likelihood C) Logarithmic Loss