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Flex Technologies Data Scientist Interview Questions and Answers
Flex Technologies Data Scientist Interview Experiences
1 interview found
Anonymous
Linked list, dp, graphs, arrays
Medium questions on tech domains
Interview Preparation Tips
Top trending discussions
Interview questions from similar companies
(2 Questions)
- Q1. Tell me about your projects?
- Q2. How do you approach the project if you are using logistic regression model?
- Ans.
Approach involves data preprocessing, model training, evaluation, and interpretation.
Perform data preprocessing such as handling missing values, encoding categorical variables, and scaling features.
Split the data into training and testing sets.
Train the logistic regression model on the training data.
Evaluate the model using metrics like accuracy, precision, recall, and F1 score.
Interpret the model coefficients to under...
(2 Questions)
- Q1. What are you future goals?
- Q2. What would you do if your interested field doesnt have any work in the company?
- Ans.
I would seek opportunities to apply my skills in related fields within the company.
Explore other departments or teams within the company that may have projects related to my field of interest
Offer to collaborate with colleagues in different departments to bring a new perspective to their projects
Seek out professional development opportunities to expand my skills and knowledge in related areas
Skills evaluated in this interview
(3 Questions)
- Q1. Questions around the previous work
- Q2. Questions around how re-rank work, and image segmentation,
- Q3. Questions with podman and docker
Interview Preparation Tips
(2 Questions)
- Q1. Basic Recommendation System Questions
- Q2. A B Testing Questions
I applied via Company Website and was interviewed in Dec 2024. There was 1 interview round.
Easy topics arrays, sequence sum.
Nayan Kumar
Selected
I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.
(1 Question)
- Q1. Basic ML Question, Timesereis and RNN with some questions on Comp Vision
(1 Question)
- Q1. Project driven. Some coding
(1 Question)
- Q1. Salary Discussion
Selected
I applied via Company Website and was interviewed before Aug 2023. There were 2 interview rounds.
(2 Questions)
- Q1. What is Bert and transformer
- Ans.
Bert and transformer are models used in natural language processing for tasks like text classification and language generation.
Bert (Bidirectional Encoder Representations from Transformers) is a transformer-based model developed by Google for NLP tasks.
Transformer is a deep learning model architecture that uses self-attention mechanisms to process sequential data like text.
Both Bert and transformer have been widely use...
- Q2. NLP pre processing techniques
- Ans.
NLP pre processing techniques involve cleaning and preparing text data for analysis.
Tokenization: breaking text into words or sentences
Stopword removal: removing common words that do not add meaning
Lemmatization: reducing words to their base form
Normalization: converting text to lowercase
Removing special characters and punctuation
(2 Questions)
- Q1. Basic questions
- Q2. Strength weakness
Skills evaluated in this interview
I applied via Referral and was interviewed in Sep 2023. There was 1 interview round.
(1 Question)
- Q1. Asked firstly some question over my resume then 2 case study type problems where i have to improve the recommdation system for zomato, and finally one coding question based on two pointer
(2 Questions)
- Q1. Project that I worked on
- Ans.
Developed a predictive model for customer churn in a telecom company
Used machine learning algorithms like logistic regression and random forest
Analyzed customer data such as call duration, plan details, and customer complaints
Achieved 85% accuracy in predicting customer churn
- Q2. Use case only verbal communication
Questions related to basic coding were asked, and some background on projects and discussions alongside maths and statistics concepts
(1 Question)
- Q1. Questions related to projects done at my previous company
(2 Questions)
- Q1. Questions related to my work at previous company
- Q2. ML system design use case type of discussion
Interview Preparation Tips
Also practice some level of basic PyTorch stuff and specially Bert architecture (in terms of code)
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Flex Technologies Data Scientist Interview Process
based on 1 interview
Interview experience
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