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Simplicontract Data Scientist Interview Questions and Answers for Freshers
Simplicontract Data Scientist Interview Experiences for Freshers
1 interview found
Anonymous
I applied via Naukri.com and was interviewed before Jul 2021. There were 2 interview rounds.
(1 Question)
- Q1. Difference between LSTM and BiLSTM
- Ans.
LSTM is a type of recurrent neural network that can remember previous inputs. BiLSTM is a variant that processes input in both directions.
LSTM stands for Long Short-Term Memory
LSTM can remember long-term dependencies in data
BiLSTM processes input in both forward and backward directions
BiLSTM is useful for tasks such as named entity recognition and sentiment analysis
Interview Preparation Tips
Skills evaluated in this interview
Interview questions from similar companies
Case study design oka6y
(2 Questions)
- Q1. Case study explain
- Q2. Ml concept advance
Anubhav Kesari
(3 Questions)
- Q1. Questions on Past Project
- Q2. SQL Dense Rank - also having the option to do in Pandas
- Q3. Pandas groupby on a dataset given - required to calculate group wise yoy rate of a column
(2 Questions)
- Q1. Past project ( which he chose , he chose my very first project , which I had forgotten) so ended up screwing it
- Q2. SQL / Pyspark question - difficult question
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)
(2 Questions)
- Q1. Basic Recommendation System Questions
- Q2. A B Testing Questions
(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
Prasanna Pradhan
Build a simple cat and dog image classifier
(1 Question)
- Q1. ML related questions
(1 Question)
- Q1. Behavioural questions, basically to check if you will be fit in a team
I applied via Company Website and was interviewed in Dec 2024. There was 1 interview round.
Easy topics arrays, sequence sum.
Simple mediam DSA style questions around ML
I applied via Walk-in and was interviewed in Dec 2020. There was 1 interview round.
Interview Questionnaire
2 Questions
- Q1. Job profile
- Q2. Describe yourself
Interview Preparation Tips
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