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Blackstraw AI Senior Data Scientist Interview Questions and Answers
Blackstraw AI Senior Data Scientist Interview Experiences
1 interview found
Anonymous
Selected
I was interviewed before Feb 2023.
(5 Questions)
- Q1. 1. difference between list & tuple 2. describe your day-to-day work 3. describe your favourite project
- Ans.
List is mutable, tuple is immutable. Day-to-day work involves data analysis and modeling. Favorite project involved developing a predictive analytics model.
List can be modified after creation, tuple cannot
List uses square brackets [], tuple uses parentheses ()
Day-to-day work includes data cleaning, exploratory data analysis, model building, and communication of results
Favorite project involved collecting and analyzing ...
- Q2. How does your day look like
- Q3. Your favourite project
- Q4. Difference between regression & classification based algorithms
- Ans.
Regression predicts continuous values, while classification predicts discrete values.
Regression algorithms predict continuous values, such as predicting house prices based on features like size and location.
Classification algorithms predict discrete values, such as classifying emails as spam or not spam based on content.
Regression algorithms include linear regression, polynomial regression, and support vector regressio...
- Q5. Difference between RNN & CNN
- Ans.
RNN is used for sequential data like time series, while CNN is used for spatial data like images.
RNN processes sequential data by maintaining memory of past inputs, suitable for time series forecasting.
CNN is designed for spatial data like images, using filters to extract features and patterns.
RNN is good for text data analysis, language translation, and speech recognition.
CNN is commonly used in image recognition, obj
Skills evaluated in this interview
Senior Data Scientist Jobs at Blackstraw AI
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Interview questions from similar companies
Sayantan Ghosh
Interview Questionnaire
1 Question
- Q1. What friends think of you?
- Ans.
My friends think of me as reliable, supportive, and always up for a good time.
Reliable - always there when they need help or support
Supportive - willing to listen and offer advice
Fun-loving - enjoys socializing and trying new things
Interview Preparation Tips
Experience: After Resume Shortlist we had an aptitute round.
Tips: Answer according to your own judgement. Dont try to be too precise.
Round: HR Interview
Experience: I said they think I am a workaholic as I prefer to complete my work before chilling with them.
College Name: NIT Durgapur
Interview Preparation Tips
Experience: Interview at 11 pm. Stressed environment, close to stress interview.
SELECTION PROCEDURE:
1.Online Test
2. GD
3. PI(HR)
GD TOPICS :
Topic 1 : How can education system benefit from interdisciplinary methods.
Topic 2 : Interconnected problems in the field of movie making.
INTERVIEW EXPERIENCE:
So you can speak German? Describe MS Dhoni in german. They opened Google Translate to counter check the words they wanted to be translated in both Deutsch and Spanish. Your profile speaks of an inclination towards software skills, why do you want to join an analytics company? Justify your action in two reasons as to why are you sitting here interviewing for the post of a data scientist rather than apply for a software engineer when this CV speaks highly of computer science? What is Finite Element Method? Explain. How relevant is your work in Computer Vision? Breakdown the tagline of Audi and translate accordingly. What is "Technik für Mobel" ? What are your current projects? Answer : Microsoft Xbox Kinect, Gesture Recognition. Counter question : But at Musimga you'd be doing far simpler stuff.? Counter suggestion : Why don't you go for MS?
Tips: Keep your cool during counter questions. Prepare your profile and CV well. Rest all is your hard work and groomed personal talents and acquired skills you learnt over the internet.
Skills: Ability To Cope Up With Stress, Spanish, German, Finite Element Modeling - FEM, Foreign Language
College Name: NIT Raipur
Funny Moments: Another HR enters in the midst of my interview and asks with bewildered amazement : What language is he speaking?
The other HR, "German".
I applied via Recruitment Consultant and was interviewed in Jun 2021. There were 4 interview rounds.
Interview Questionnaire
1 Question
- Q1. 1. Describe one of your projects in detail. 2. Explain Random Forest and other ML models 3. Statistics
- Ans.
Developed a predictive model for customer churn using Random Forest algorithm.
Used Python and scikit-learn library for model development
Performed data cleaning, feature engineering, and exploratory data analysis
Tuned hyperparameters using GridSearchCV and evaluated model performance using cross-validation
Random Forest is an ensemble learning method that builds multiple decision trees and combines their predictions
Other...
Interview Preparation Tips
Skills evaluated in this interview
Selected
I applied via Naukri.com and was interviewed in Oct 2022. There were 5 interview rounds.
Basic statistics questions and coding questions on modeling
(1 Question)
- Q1. Discussion was mainly on the project I have worked on
(1 Question)
- Q1. Project discussion 2 case studies Questions on sensitivity analysis Precision recall with non binary data
(1 Question)
- Q1. How would you solve conflicts between two people in your team? Why are you leaving your company?
- Ans.
To solve conflicts between two people in my team, I would encourage open communication, facilitate a discussion, and find a mutually agreeable solution.
Encourage open and honest communication between the two individuals involved
Facilitate a discussion where both parties can express their concerns and perspectives
Identify common ground and areas of agreement
Encourage empathy and understanding towards each other's viewpo...
Interview Preparation Tips
I applied via Naukri.com and was interviewed before Aug 2021. There were 4 interview rounds.
Machine learning MCQ questions. 2 model-building questions.
(1 Question)
- Q1. Basic statistics, concertation of any ML algo based on the project on resume or previous works,
(1 Question)
- Q1. Interview with data science manager. Mostly focuses on projects on your resume.
(1 Question)
- Q1. Salary related discussion and basic HR questions.
Interview Preparation Tips
I applied via Company Website and was interviewed in Feb 2022. There were 2 interview rounds.
There were 13 questions
2 was coding and other multiple choice questions
one coding question was wine quality test
Interview Preparation Tips
I applied via Referral and was interviewed in May 2021. There were 3 interview rounds.
Interview Questionnaire
1 Question
- Q1. Total 3 rounds. 1st round is purely on programming ability on Python and SQL. Simple to algorithmic level. Binary search, recursive querying. 2nd round was on understanding the candidate and his/her work e...
Interview Preparation Tips
Python questions moderate to difficult
(2 Questions)
- Q1. Introduction about self
- Ans.
I am a data scientist with a background in statistics and machine learning.
I have a Master's degree in Data Science from XYZ University.
I have experience working with Python, R, and SQL for data analysis.
I have worked on projects involving predictive modeling and data visualization.
I am passionate about using data to drive business decisions and solve complex problems.
- Q2. Python basics like list, dictionary
I applied via Referral and was interviewed in Sep 2024. There was 1 interview round.
Asked 2 to 3 python coding question...
Interview Preparation Tips
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Blackstraw AI Senior Data Scientist Interview Process
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