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Schneider Electric Data Scientist Interview Questions and Answers
Schneider Electric Data Scientist Interview Experiences
1 interview found
(1 Question)
- Q1. What is the difference between AI, deep learning and machine learning
- Ans.
AI is the broader concept of machines being able to carry out tasks in a way that we would consider smart. Machine learning is a subset of AI that allows machines to learn from data. Deep learning is a subset of machine learning that uses neural networks with many layers to model and solve complex problems.
AI is the broader concept of machines being able to carry out tasks in a way that we would consider smart.
Machine ...
Skills evaluated in this interview
Interview questions from similar companies
Basics and Fundamentals
(2 Questions)
- Q1. Reason for job switch
- Ans.
Seeking new challenges and opportunities for growth in a different environment.
Looking for a more challenging role to further develop skills
Interested in exploring new technologies and methodologies
Seeking a better work-life balance or company culture
Opportunity for career advancement or higher salary
Desire for a change in industry or focus area
- Q2. Work Culture Expectations
Selected
I applied via Campus Placement and was interviewed in Sep 2023. There was 1 interview round.
Basic college level, basic logic based questions and some mathematical questions like speed Avg questions
Interview Preparation Tips
Selected
I applied via Company Website and was interviewed before Dec 2023. There was 1 interview round.
(1 Question)
- Q1. Tell me a project you did in school that shows innovation?
Basics and Fundamentals
(2 Questions)
- Q1. Reason for job switch
- Ans.
Seeking new challenges and opportunities for growth in a different environment.
Looking for a more challenging role to further develop skills
Interested in exploring new technologies and methodologies
Seeking a better work-life balance or company culture
Opportunity for career advancement or higher salary
Desire for a change in industry or focus area
- Q2. Work Culture Expectations
Data Science Intern Interview Questions & Answers
Honeywell Automation
RAGHAV JAIN BADJATE
posted on 18 Apr 2024
Easy test was conducted at our college
(3 Questions)
- Q1. Why do you like data?
- Ans.
I like data because it allows me to uncover insights, make informed decisions, and solve complex problems.
Data helps me understand trends and patterns in various industries.
I enjoy using data to drive business strategies and improve processes.
Analyzing data allows me to make evidence-based decisions and solve real-world problems.
Data visualization helps me communicate findings effectively to stakeholders.
- Q2. Why do you want to join Honeywell?
- Q3. Where do you see yourself in 5 yrs?
Interview Preparation Tips
I applied via campus placement at Indian Institute of Technology (IIT), Chennai
Interview Preparation Tips
Experience: It was a brief 15 minute interview and done!
Tips: Be fully prepared on your resume.
General Tips: Be fully prepared on reume
Skill Tips: Be fully prepared on resume
Skills: Basics Of Machine Learning
Duration: 2
College Name: IIT Madras
Motivation: Intrest in data science
Selected
I applied via Campus Placement and was interviewed in Sep 2023. There was 1 interview round.
Basic college level, basic logic based questions and some mathematical questions like speed Avg questions
Interview Preparation Tips
Selected
I applied via campus placement at Birla Institute of Technology and Science (BITS), Pilani and was interviewed in Jul 2024. There were 2 interview rounds.
The aptitude round required only a passing score, and included basic logical reasoning, verbal ability, and data visualization questions.
(3 Questions)
- Q1. Most of the questions were based on Resume and mostly asked about ML .
- Q2. What is LDA and represent the LDA using diagram ?
- Q3. How do you implement a machine learning algorithm based on a given case study, and which algorithm do you choose and why?
Interview Preparation Tips
- machine learning
- Deep Learning
- Computer Vision
- Development
Data Science Intern Interview Questions & Answers
Honeywell Automation
Anonymous
posted on 23 Apr 2024
Selected
I applied via Referral and was interviewed before Apr 2023. There was 1 interview round.
(2 Questions)
- Q1. 1. How would you deal with time series data
- Ans.
Time series data can be analyzed using techniques like smoothing, decomposition, forecasting, and anomaly detection.
Use smoothing techniques like moving averages to remove noise and identify trends.
Apply decomposition methods like seasonal decomposition of time series (STL) to separate trend, seasonality, and residual components.
Utilize forecasting models such as ARIMA, SARIMA, or Prophet to predict future values.
Imple...
- Q2. 2. How would you handle missing data in time series data
- Ans.
Handle missing data in time series data by imputation, interpolation, or deletion.
Impute missing values using mean, median, mode, or predictive modeling techniques.
Interpolate missing values using linear interpolation, spline interpolation, or time-based interpolation.
Delete rows with missing values if they are few and do not significantly impact the analysis.
Skills evaluated in this interview
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Schneider Electric Data Scientist Reviews and Ratings
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Deputy Manager
1.2k
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|  ₹4.5 L/yr - ₹14.3 L/yr |
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Senior Manager
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salaries
| ₹8.5 L/yr - ₹28 L/yr |
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Manager
650
salaries
| ₹6.4 L/yr - ₹19 L/yr |
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Assistant Manager
314
salaries
| ₹3.8 L/yr - ₹11 L/yr |
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Deputy General Manager
314
salaries
| ₹15 L/yr - ₹41 L/yr |
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