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Konux Lead Data Scientist Interview Questions and Answers
Konux Lead Data Scientist Interview Experiences
1 interview found
Anonymous
I applied via LinkedIn and was interviewed in Jun 2021. There were 3 interview rounds.
Interview Questionnaire
2 Questions
- Q1. Describe how a few popular machine learning algorithms work
- Ans.
Popular machine learning algorithms and their workings
Linear Regression - predicts a continuous output based on input features
Decision Trees - creates a tree-like model to make decisions based on input features
Random Forest - ensemble of decision trees to improve accuracy and reduce overfitting
Support Vector Machines - finds a hyperplane that separates data into classes
K-Nearest Neighbors - predicts output based on the...
- Q2. How did you solve a challenging problem at work
Interview Preparation Tips
Skills evaluated in this interview
Top trending discussions
Interview questions from similar companies
(2 Questions)
- Q1. Given a dataset, pandas task and commands
- Q2. DSA round for lists,string, tuples, dictionary
Interview Preparation Tips
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
(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
(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.
I applied via LinkedIn and was interviewed in May 2021. There were 4 interview rounds.
Interview Questionnaire
6 Questions
- Q1. Machine Learning questions, graphs were not asked
- Q2. Deep Learning
- Q3. Machine Learning
- Q4. Core ML Principle, CV
- Q5. MLP
- Q6. Recommendation Systems
Interview Preparation Tips
Round type - Coding
Round duration - 45mins
Round description - Coding question were askedRound 2
Round type - Machine Learning
Round duration - 45minsRound 3
Round type - TechnicalShareChat interview Preparation:What resources did you refer to prepare for the interview? - As many books/resources on the internet because the topic is very vast. Do not refer to only one resource.What tips would you give to other job seekers? - Machine Learning matters a lot here, coding is very easy. You have to be well versed with ML. ML round of ShareChat was the most difficult round I have encountered.What was the final outcome of your interview?Selected
I applied via Approached by Company and was interviewed in Aug 2024. There was 1 interview round.
(2 Questions)
- Q1. General ml questions
- Q2. Coding on dataframe from kaggle
Python programming,SQL question
(2 Questions)
- Q1. Asked some puzzle questions
- Q2. Asked one leetcode easy question. 3 sum
Selected
I applied via Company Website and was interviewed before Dec 2023. There were 3 interview rounds.
Categories of the CAT exam include Quantitative Aptitude, Verbal Ability, Data Interpretation and Logical Reasoning, and Graphical questions.
Medium level. Focus on SQL subqueries application.
(2 Questions)
- Q1. Statistical questions related to different hypothesis testing
- Q2. Questions related to different machine learning model
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