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Adoro Data Scientist Interview Questions and Answers
Adoro Data Scientist Interview Experiences
1 interview found
Prithviraj Billa
I applied via Referral
Interview Questionnaire
1 Question
- Q1. Dynamic Programming Questions
Interview Preparation Tips
Experience: Asked me couple of dynamic programming Questions AFICR and asked to code in any language
Tips: There are looking for good problem solvers and people who can analyse problems and solve them. Most of the questions are new questions. But they are variants of the standard DP problems
Skills: Web Technologies, Basics Of Networking, Programming
College Name: IIT Bombay
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Anonymous
I applied via Campus Placement
(1 Question)
- Q1. Work done in previous companty
- Ans.
Developed machine learning models to predict customer churn and optimize marketing campaigns.
Built predictive models using Python and scikit-learn
Utilized SQL to extract and manipulate data for analysis
Collaborated with cross-functional teams to implement data-driven solutions
I was asked Python, sql, coding questions
Case study on how would you identify the total number of footfall on a airport
I was interviewed before Apr 2023.
(1 Question)
- Q1. Basic statistics
(1 Question)
- Q1. Project related
Interview Preparation Tips
I applied via LinkedIn and was interviewed in Jul 2024. There were 3 interview rounds.
Assignment on credit risk
(1 Question)
- Q1. Hyperparameter tuning
(1 Question)
- Q1. Case study for problem solving
Python coding question and ML question
(1 Question)
- Q1. ML questions from resume + general
(1 Question)
- Q1. Techno managerial round
I applied via Recruitment Consulltant and was interviewed before Aug 2021. There was 1 interview round.
(1 Question)
- Q1. Difference between CNN and MLP
- Ans.
CNN is used for image recognition while MLP is used for general classification tasks.
CNN uses convolutional layers to extract features from images while MLP uses fully connected layers.
CNN is better suited for tasks that require spatial understanding like object detection while MLP is better for tabular data.
CNN has fewer parameters than MLP due to weight sharing in convolutional layers.
CNN can handle input of varying
Interview Preparation Tips
Skills evaluated in this interview
I applied via Approached by Company and was interviewed before Sep 2021. There were 3 interview rounds.
(1 Question)
- Q1. Projects and Data Science concepts
(1 Question)
- Q1. Python and coding skills
Interview Preparation Tips
laltaki
I applied via Company Website and was interviewed before Feb 2023. There was 1 interview round.
(1 Question)
- Q1. ML concepts , regression, regularization etc
Selected
I applied via Referral and was interviewed before Aug 2023. There were 2 interview rounds.
Python test is taken
(1 Question)
- Q1. Salary discussion
Interview Preparation Tips
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