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TE Connectivity Data Scientist Interview Questions and Answers
TE Connectivity Data Scientist Interview Experiences
1 interview found
Anonymous
Selected
(2 Questions)
- Q1. What metrics can be used to evaluate the performance of a regression model?
- Ans.
Various metrics like Mean Squared Error, R-squared, Mean Absolute Error can be used to evaluate regression model performance.
Mean Squared Error (MSE) - measures the average of the squares of the errors or deviations
R-squared (R2) - indicates the proportion of the variance in the dependent variable that is predictable from the independent variables
Mean Absolute Error (MAE) - measures the average of the absolute errors b...
- Q2. What methods can be used to remove a specific type of noise from an image?
- Ans.
Methods like median filtering, Gaussian filtering, and wavelet denoising can be used to remove noise from an image.
Median filtering replaces each pixel's value with the median value of its neighborhood.
Gaussian filtering uses a weighted average of neighboring pixels to smooth out noise.
Wavelet denoising decomposes the image into different frequency bands and removes noise from each band separately.
Machine learning-based problem.
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Interview questions from similar companies
Selected
I applied via Naukri.com and was interviewed in Sep 2023. There were 2 interview rounds.
(1 Question)
- Q1. Difference between C and embedded C
- Ans.
Embedded C is a subset of C programming language specifically designed for embedded systems.
Embedded C is used for programming embedded systems, which are typically resource-constrained and require efficient code.
Embedded C may have specific syntax and features tailored for the target hardware platform.
Regular C can be used for general-purpose programming, while embedded C is focused on low-level hardware interactions.
...
C coding test with more practice questions to be answered
Skills evaluated in this interview
(1 Question)
- Q1. Basic Mechanical Engineering Concepts
(1 Question)
- Q1. Geometric Dimensioning and Tolerancing
(1 Question)
- Q1. My Project Work
I applied via Walk-in and was interviewed in Jul 2022. There were 2 interview rounds.
(2 Questions)
- Q1. About the what is written in resume
- Q2. About electronic components
Interview Preparation Tips
Interview Questionnaire
1 Question
- Q1. Ask only in resume points
I applied via Monster and was interviewed in Nov 2020. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. Process quality
Interview Preparation Tips
Selected
I applied via Referral and was interviewed in Apr 2024. There were 2 interview rounds.
More than 5 times documents uploaded
(1 Question)
- Q1. Past company experiance,Need to explain
Interview Preparation Tips
I applied via Campus Placement and was interviewed in Aug 2021. There were 4 interview rounds.
Interview Questionnaire
1 Question
- Q1. First round apptitude, second round gd, then two technical
Interview Preparation Tips
(1 Question)
- Q1. Daily roles and responsibilities .
(1 Question)
- Q1. Salary discussion , Notice period
Interview Preparation Tips
Selected
I applied via Walk-in and was interviewed before Dec 2023. There were 3 interview rounds.
Questioning your technical knowledge.
(1 Question)
- Q1. What are the details regarding the salary and structure for this position?
- Ans.
The salary for this position is competitive and will be based on experience and qualifications.
Salary is competitive and will be based on experience and qualifications
Specific details regarding salary and structure will be discussed during the interview process
Benefits package may also be included in the compensation package
(1 Question)
- Q1. Can you describe your experience and the responsibilities you have held in your previous roles?
- Ans.
I have over 5 years of experience in engineering roles, with responsibilities including project management, design, and testing.
Managed multiple engineering projects from conception to completion
Designed and implemented new systems and processes to improve efficiency
Conducted testing and analysis to ensure product quality and compliance
Collaborated with cross-functional teams to achieve project goals
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TE Connectivity Data Scientist Interview Process
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