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Full Stack Academy Data Scientist Interview Questions and Answers
1 interview found
Noorunnisa
Selected
I applied via Walk-in and was interviewed in May 2023.
4 Interview Rounds
Resume Shortlist Round
Aptitude Test Round
Aptitude test consisting of Logical thinking ,mathematical calculations ,English grammer and many more
HR Round (2 Questions)
- Q1. In HR round they asked me what is ML View Answers (1)
- Q2. Say something about Data science View Answers (2)
Case Study Round
Data science case studies highlight the work done by practitioners, and they can be used to educate new and existing data scientists on how to approach problems.
Interview Preparation Tips
Skills evaluated in this interview
Interview questions from similar companies
I applied via Referral and was interviewed in Nov 2024.
1 Interview Round
Technical Round (2 Questions)
- Q1. SQL and pandas coding Add Answer
- Q2. Resume projects deep dive Add Answer
Interview Preparation Tips
Selected
I applied via Approached by Company and was interviewed in Aug 2024.
2 Interview Rounds
Coding Test Round
*****, arjumpudi satyanarayana
Technical Round (5 Questions)
- Q1. What is the python language View Answers (1)
- Q2. What is the code problems View Answers (1)
- Q3. What is the python code View Answers (1)
- Q4. What is the project View Answers (1)
- Q5. What is the lnderssip View Answers (1)
Interview Preparation Tips
- Python
- Machine Learning
Skills evaluated in this interview
I applied via Naukri.com and was interviewed in Jul 2024.
2 Interview Rounds
One-on-one Round (3 Questions)
- Q1. Tell me about yourself? View Answers (1)
- Q2. Describe in detail about one of my main project. View Answers (1)
- Q3. Few questions related to my projects. Add Answer
Technical Round (1 Question)
- Q1. Questions on Basics python(Since i am fresher) Add Answer
Interview Preparation Tips
I applied via Naukri.com and was interviewed in Jul 2024.
1 Interview Round
Technical Round (6 Questions)
- Q1. Which GenAI projects I have worked on Add Answer
- Q2. What is the context window in LLMs View Answers (1)
- Q3. What is top_k parameter View Answers (1)
- Q4. What are regex patterns in python View Answers (1)
- Q5. What are iterators and tuples View Answers (1)
- Q6. Do I have REST API experience View Answers (1)
Skills evaluated in this interview
G R
I applied via Naukri.com and was interviewed in Mar 2024.
3 Interview Rounds
One-on-one Round (3 Questions)
- Q1. Machine learning algorithms. View Answers (1)
- Q2. Credit risk life cycle Add Answer
- Q3. Pandas related questions Add Answer
One-on-one Round (3 Questions)
- Q1. Steps of developing a credit risk model View Answers (1)
- Q2. Pandas related questions Add Answer
- Q3. Bagging and Boosting Add Answer
One-on-one Round (3 Questions)
- Q1. Explain AIC and BIC View Answers (1)
- Q2. Difference between xgboost and lightgbm View Answers (1)
- Q3. Bagging and boosting Add Answer
Skills evaluated in this interview
I applied via Naukri.com and was interviewed in Jul 2024.
1 Interview Round
Technical Round (1 Question)
- Q1. Pandas basics and SQL joins nlp Add Answer
Interview Preparation Tips
1 Interview Round
Technical Round (2 Questions)
- Q1. Number of Duplicate words in a string View Answers (1)
- Q2. Chunking in LLM View Answers (1)
Skills evaluated in this interview
Mr. A K
2 Interview Rounds
Aptitude Test Round
Very easy and but selection is basis
Coding Test Round
We are looking to hire incredible Python Developers interested in working with a US Startup. If you are truly passionate about designing and building machine learning solutions using python, you’re looking for a job where you can work from anywhere- and we mean anywhere and are excited about gaining experience in a Startup, then this is the position for you. Be it your next vacation spot or a farm out in the country, if you have working internet, you can work remotely from your chosen location. No long commutes or rushing to in-person meetings. Ready to work hard and play harder? Let’s work together.
Interview Preparation Tips
• Excellent understanding of machine learning techniques and algorithms, such as Neural
Network, Random Forest, Gradient Boosting
• Experience with common data science toolkits, such as Anaconda, Python, SQL
• Strong data visualization skills and ability to present insights from analysis.
• Proficient in writing queries using SQL.
• Good programming skills in Python, with an ability to write production ready code.
Nice to have:
• Experience with working with version control software like Git etc.
• Experience with AWS Stack, Apache Spark is preferred.
1 Interview Round
Technical Round (4 Questions)
- Q1. What is stemming and lematization View Answers (1)
- Q2. Python coding about default values in class and funtions Add Answer
- Q3. Kmeans clustering evaluation Add Answer
- Q4. How to measure multicollinearity View Answers (1)
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