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Jotter.ai Data Scientist Interview Questions and Answers
Jotter.ai Data Scientist Interview Experiences
1 interview found
Anonymous
Basics of distance and time and means
(1 Question)
- Q1. Data science basic questions
(1 Question)
- Q1. Data science advanced que
(1 Question)
- Q1. Salary discussion with hr
Interview questions from similar companies
Rahul singh
Selected
I applied via Naukri.com and was interviewed before Oct 2023. There were 2 interview rounds.
Python coding and sql coding
(2 Questions)
- Q1. List all the string which start with 'a'
- Ans.
List of strings starting with 'a'
Use a loop to iterate through each string
Check if each string starts with 'a'
Add the string to the list if it starts with 'a'
- Q2. Find out max value from the given table
- Ans.
Use SQL query to find max value from a table
Use SQL query SELECT MAX(column_name) FROM table_name;
For example, SELECT MAX(salary) FROM employees;
Ensure proper column name and table name are used in the query
Interview Preparation Tips
Skills evaluated in this interview
I applied via Referral and was interviewed before Oct 2023. There was 1 interview round.
Python sql basic questions
I appeared for an interview before Mar 2024, where I was asked the following questions.
- Q1. Explain Overfitting
- Q2. More values in training set than test set
Selected
I applied via Hirect and was interviewed in May 2022. There were 5 interview rounds.
Basic python sql questions, mcq based and coding questions.
(1 Question)
- Q1. They asked the projects which I am working on and had discussion on the same. Asked few statistical questions like boxplots and normal distribution. Also asked basic questions on advance SQL
(1 Question)
- Q1. Problem solving questions. Gave a case study to check presence of mind
(1 Question)
- Q1. Basic salary discussion
Interview Preparation Tips
- SQL
- python
Selected
I applied via LinkedIn and was interviewed before Jul 2023. There were 2 interview rounds.
Basic python and ML test.
(5 Questions)
- Q1. Explain so and so about the projects in the past
- Q2. ML algorithms in detail
- Ans.
ML algorithms are tools used to analyze data, make predictions, and learn patterns from data.
ML algorithms can be categorized into supervised, unsupervised, and reinforcement learning.
Examples of supervised learning algorithms include linear regression, decision trees, and support vector machines.
Examples of unsupervised learning algorithms include k-means clustering, hierarchical clustering, and principal component an...
- Q3. Statistics formula and concept.
- Q4. Deep learning questions to improve.
- Q5. NLP related like Transformers.
Skills evaluated in this interview
(1 Question)
- Q1. About project and question about ml
(1 Question)
- Q1. Question deploymnet process and ci&cd process
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
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...
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
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Jotter.ai Data Scientist Interview Process
based on 1 interview
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Rating in categories
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Data Scientist
21
salaries
|  ₹6 L/yr - ₹10 L/yr |
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Software Engineer
7
salaries
| ₹3 L/yr - ₹8 L/yr |
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Software Developer
5
salaries
| ₹4.5 L/yr - ₹5.1 L/yr |
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Data Analyst
5
salaries
| ₹1.8 L/yr - ₹3.9 L/yr |
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UI/UX Designer
4
salaries
| ₹4 L/yr - ₹7 L/yr |
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