Student Name: Priya Gupta

Current Course: MSQE

Degree Before Masters: B.A(hons) Economics

Company Name: OLA Electric
Job Role: Data Scientist
Duration of the Job Role: Full time

Hiring Process Overview:
Apti+2 interview rounds

Questions Asked in Online Aptitude Test (if applicable):
3 sections- ML and stats, Maths and apti, Coding

Number of Interview Rounds:
2

Questions Asked in Round 1:
Projects and experience in ML Linear regression with focus on multicollinearity Bias variance tradeoff Overfitting- How to detect it and correct it When to use L1 and L2 regularization techniques Problems in case of imbalance data and how to correct for the problem in Classification task How to implement algo like decision tree or random forest in python (focused on parameters required) Time series- unit root

Questions Asked in Round 2:
Internship and projects mentioned in CV

HR Round What do you know about the company and why do you want to join it Explain a situation when you showed team work and leadership skills Situation where you faced ambiguity in life (weren’t sure what to do but still completed the task)

Questions Asked in Further Rounds:

Job Role Experience:

Suggestions for Candidates (including resources, books, websites):
For ML, Statsquest(YT) ISLP Python for Machine Learning & Data Science Masterclass by Jose Portilla- Udemy (its a good course covering numpy, pandas, matplotlib, seaborn, supervised and unsupervisied learning using scikit learn. Covers both concepts, implementation in python and project)

Additional Resources:

Previous Job Role (if applicable):