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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
Top trending discussions
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 Campus Placement and was interviewed in Oct 2023. There were 3 interview rounds.
The aptitude test was easy.just like usual aptitude questions like quants,verbal,reasoning etc....
(1 Question)
- Q1. Second round was all about one on one video call interview where they will ask to record a video and send it.(managerial questions). Like, why do you need to join mu sigma,why should we hire you....
- Ans. Third round was online hr interview. Where there will ask questions based on your resumes.
Selected
I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.
(1 Question)
- Q1. Basic ML questions based on your project, python basic questions
Basic python questions on pandas,numpy, and basic SQL questions on windows function like lag
I applied via Company Website and was interviewed in Dec 2024. There were 2 interview rounds.
Python coding and ML resume based questions
(2 Questions)
- Q1. Past Projects with the Director
- Q2. Behavioral Round questions Mostly
I applied via Campus Placement and was interviewed in Jul 2022. There were 4 interview rounds.
Medium level of question are there in this section
Basic level of question are there in this section
(2 Questions)
- Q1. Q. What is joints? Q. What is linear search? Q. What is your hobby?
- Ans.
Joints are connections between bones that allow movement and provide support to the body.
Joints are found throughout the body, such as the knee, elbow, and shoulder.
They are made up of bones, cartilage, ligaments, and synovial fluid.
Joints enable various types of movements, including flexion, extension, rotation, and abduction.
Different types of joints include hinge joints, ball-and-socket joints, and pivot joints.
Join...
- Q2. What is joints and what is your hobby?
- Ans.
I'm not sure how joints relate to data science, but my hobby is playing guitar.
Joints can refer to the connection between two bones in the body or the way two things are connected or joined together.
Playing guitar is a hobby that helps me relax and unwind after a long day of working with data.
While seemingly unrelated to data science, playing an instrument can actually improve cognitive function and creativity, which c
Interview Preparation Tips
Skills evaluated in this interview
Data Scientist Interview Questions & Answers
Fractal Analytics
Bratati Datta Gupta
posted on 11 Dec 2024
I applied via LinkedIn and was interviewed in Nov 2024. There were 2 interview rounds.
There are 10 multiple-choice questions (MCQs) on Python, 20 MCQs on machine learning (ML), and 10 questions on deep learning (DL).
(1 Question)
- Q1. The technical round was divided in three phases - phase -1 : intro and professional projects They asked about the projects I have contributed in my full-time tenure. Then, asked me to pick any one of them...
Selected
I applied via Approached by Company and was interviewed in Mar 2024. There were 3 interview rounds.
(2 Questions)
- Q1. Questions on Transformer Architecture and
- Q2. System design tradeoffs and basic principles
- Ans.
System design tradeoffs involve balancing various factors to optimize performance and efficiency.
Consider scalability, reliability, latency, and cost when designing systems
Tradeoffs may involve sacrificing one aspect for the benefit of another
Examples include choosing between consistency and availability in distributed systems
(2 Questions)
- Q1. Various questions on my projects
- Q2. NLP based questions and metrics calculation and case study
(2 Questions)
- Q1. Basic HR questions
- Q2. Why Fractal, etc
- Ans.
Fractals are used in data science for analyzing complex and self-similar patterns.
Fractals are useful for analyzing data with repeating patterns at different scales.
They are used in image compression, signal processing, and financial market analysis.
Fractal analysis can help in understanding the underlying structure of data and making predictions.
Skills evaluated in this interview
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
Blackstraw AI Interview FAQs
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Blackstraw AI Senior Data Scientist Interview Process
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