AmbitionBox
Interview Questions
- Reviews
- Salaries
- Interview Questions
- About Company
- Benefits
- Jobs
- Office Photos
- Community
Add office photos
i
Filter interviews by
Quantiphi Analytics Solutions Private Limited Machine Learning Engineer Interview Questions, Process, and Tips
Top Quantiphi Analytics Solutions Private Limited Machine Learning Engineer Interview Questions and Answers
- Q1. What are the Different types of Learning?
- Q2. Name some evaluation metrics? What is precision and recall? Give some examples. What is Entropy and Gini impurity What are bagging techniques What are boosting techniques ...read more
- Q3. What are Different ML algorithms?
Quantiphi Analytics Solutions Private Limited Machine Learning Engineer Interview Experiences
15 interviews found
Anonymous
I applied via campus placement at Dwarkadas J Sanghvi College of Engineering, Mumbai and was interviewed before Apr 2020. There were 3 interview rounds.
Interview Questionnaire
4 Questions
- Q1. What are the Different types of Learning?
- Ans.
Different types of learning include supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, and transfer learning.
Supervised learning: Training a model using labeled data to make predictions or classifications.
Unsupervised learning: Training a model on unlabeled data to discover patterns or relationships.
Semi-supervised learning: Combining labeled and unlabeled data for training.
Re...
- Q2. What are Different ML algorithms?
- Ans.
ML algorithms are techniques used to train models to make predictions or decisions based on data.
Supervised learning algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, k-nearest neighbors
Unsupervised learning algorithms: K-means clustering, hierarchical clustering, principal component analysis
Reinforcement learning algorithms: Q-learning, SARSA
Deep learning algo...
- Q3. What is Regression?
- Ans.
Regression is a statistical method used to analyze the relationship between a dependent variable and one or more independent variables.
Regression is used to predict continuous numerical values.
It helps in identifying the strength and direction of the relationship between variables.
Linear regression is a common type of regression used to model the relationship between two variables.
Examples of regression include predict...
- Q4. What is Naive Bayes in ML?
- Ans.
Naive Bayes is a probabilistic algorithm that uses Bayes' theorem to classify data based on prior knowledge.
Naive Bayes assumes that all features are independent of each other.
It is commonly used for text classification and spam filtering.
There are three types of Naive Bayes classifiers: Gaussian, Multinomial, and Bernoulli.
It is a fast and simple algorithm that works well with high-dimensional datasets.
Naive Bayes can...
Interview Preparation Tips
Skills evaluated in this interview
I applied via LinkedIn and was interviewed in Apr 2024. There were 2 interview rounds.
(4 Questions)
- Q1. In depth questions on every ml algorithm from supervised to un supervised algorithms
- Q2. How to over come over fitting
- Ans.
To overcome overfitting, use techniques like cross-validation, regularization, early stopping, and increasing training data.
Use cross-validation to evaluate model performance on different subsets of data.
Apply regularization techniques like L1 or L2 regularization to penalize large coefficients.
Implement early stopping to stop training when validation error starts to increase.
Increase training data to provide more dive
- Q3. What is PCA, how to do feature selection
- Ans.
PCA is a dimensionality reduction technique used to reduce the number of features in a dataset while preserving the most important information.
PCA stands for Principal Component Analysis
It works by finding the directions (principal components) in which the data varies the most
These principal components are orthogonal to each other and capture the maximum variance in the data
Feature selection can be done by selecting th...
- Q4. Project based questions
(1 Question)
- Q1. Scenario based questions on implementing NLP use case
Skills evaluated in this interview
Selected
I applied via Campus Placement and was interviewed in Jun 2024. There were 2 interview rounds.
Contain question related to aptitude, pyrhon,ml mcqs.
(2 Questions)
- Q1. What is overfitting and underfitting?
- Ans.
Overfitting occurs when a model learns the training data too well, leading to poor generalization. Underfitting happens when a model is too simple to capture the underlying patterns.
Overfitting: Model performs well on training data but poorly on unseen data. Can be caused by a model being too complex or training for too long.
Underfitting: Model is too simple to capture the underlying patterns in the data. Results in po...
- Q2. Explain about your project
Skills evaluated in this interview
I applied via Campus Placement
78 mcq questions with 2 coding questions in 1 hr 26 min.
(2 Questions)
- Q1. Don't know about it.
- Q2. I was not selected.
Quantiphi Analytics Solutions Private Limited interview questions for designations
Aptitude round - Quant reasoning verbal
Three coding questions were given
(1 Question)
- Q1. Questions from project and some ml questions
(1 Question)
- Q1. This was like technical and hr Questions from project
Interview Preparation Tips
Get interview-ready with Top Quantiphi Analytics Solutions Private Limited Interview Questions
I applied via Campus Placement and was interviewed in Dec 2023. There were 2 interview rounds.
Big data, aptitude, html, css, javascript, c language questions
Hackerrank coding test
Machine Learning Engineer Jobs at Quantiphi Analytics Solutions Private Limited
Selected
I applied via Campus Placement and was interviewed before Oct 2022. There were 4 interview rounds.
OOP, aptitude, DSA, coding question-2 mcq and 1 code based
(4 Questions)
- Q1. Pythons-OOP,DSA, basic questions
- Q2. Polymorphism, inheritance
- Q3. OOPs, 4 pillars of OOPs
- Ans.
OOPs stands for Object-Oriented Programming and its 4 pillars are Inheritance, Encapsulation, Abstraction, and Polymorphism.
Inheritance allows a class to inherit properties and behavior from another class.
Encapsulation restricts access to certain components of an object, protecting its integrity.
Abstraction hides complex implementation details and only shows the necessary features.
Polymorphism allows objects to be trea...
- Q4. Dsa and python- Arrays,Stack, linked list,etc
(1 Question)
- Q1. HR and technical question about ml, dl, cut the cake in 8 parts how will you do it.
Interview Preparation Tips
Selected
I applied via campus placement at Maharashtra Institute of Technology, Pune and was interviewed before Sep 2022. There were 4 interview rounds.
Questions on Quantitative, English and Logic.
Next section comprised of questions on SQL, OS, Java, HTML/CSS.
Last section had questions related to python and Machine learning and also couple of Coding questions whose level was Easy to moderate.
(1 Question)
- Q1. Name some evaluation metrics? What is precision and recall? Give some examples. What is Entropy and Gini impurity What are bagging techniques What are boosting techniques Difference between validation and ...
- Ans.
Explanation of evaluation metrics, precision, recall, entropy, Gini impurity, bagging, boosting, validation vs test data, LSTM, GRU, K-means clustering, and importing CSV datasets.
Evaluation metrics: used to measure the performance of machine learning models (e.g., accuracy, precision, recall, F1 score)
Precision: ratio of true positive predictions to the total predicted positives (TP / (TP + FP))
Recall: ratio of true p...
(1 Question)
- Q1. Tell me about yourself Where do you see yourself in next 5 years Why you want to join our company Soft skill questions like leadership, innovative thinker, problem solver etc. which are mentioned in the re...
Interview Preparation Tips
Skills evaluated in this interview
Selected
I applied via Campus Placement and was interviewed before Apr 2023. There was 1 interview round.
(1 Question)
- Q1. Question on DSA, basics of Machine Learning and puzzles from gfg
Selected
I applied via Superset and was interviewed before May 2022. There was 1 interview round.
(2 Questions)
- Q1. Actually after internship we will have evaluation.
- Ans. So in evaluation they decide whether to continue or to extend your 4 month of internship. I got converted into FTE after 4 months.
- Q2. You need to showcase what u did in the internship As I converted to FTE from internship
- Ans. U need to submit ur trakstar(evaluation) And u need to keep. Meet with mentor and they will rate you
Interview Preparation Tips
- Complete the internship
- Machine Learning
- Deep Learning
If they feel u need more improvement they will extend ur internship period.
Try to complete your task in internship, learn faster.
Be proactive with mentors.
Participate in all activities in org.
Take this for learning and applying what u have learned.
I applied via Referral and was interviewed in May 2021. There were 4 interview rounds.
Interview Questionnaire
3 Questions
- Q1. Explain the transformer architecture and positional encoders?
- Ans.
Transformer architecture is a neural network architecture used for natural language processing tasks. Positional encoders are used to encode the position of words in a sentence.
Transformer architecture is based on the self-attention mechanism.
It consists of an encoder and a decoder.
Positional encoders are added to the input embeddings to encode the position of words in a sentence.
They are computed using sine and cosine...
- Q2. Explain about project mentioned in resume?
- Q3. Mostly NLP related questions
Interview Preparation Tips
Skills evaluated in this interview
Top trending discussions
Quantiphi Analytics Solutions Private Limited Interview FAQs
Some of the top questions asked at the Quantiphi Analytics Solutions Private Limited Machine Learning Engineer interview -
Tell us how to improve this page.
Quantiphi Analytics Solutions Private Limited Interviews By Designations
- Quantiphi Analytics Solutions Private Limited Business Analyst Interview Questions
- Quantiphi Analytics Solutions Private Limited Machine Learning Engineer Interview Questions
- Quantiphi Analytics Solutions Private Limited Data Engineer Interview Questions
- Quantiphi Analytics Solutions Private Limited Software Developer Interview Questions
- Quantiphi Analytics Solutions Private Limited Senior Business Analyst Interview Questions
- Quantiphi Analytics Solutions Private Limited Senior Data Engineer Interview Questions
- Quantiphi Analytics Solutions Private Limited Software Engineer Interview Questions
- Quantiphi Analytics Solutions Private Limited Machine Learning Engineer Intern Interview Questions
- Show more
Quantiphi Analytics Solutions Private Limited Machine Learning Engineer Interview Process
based on 10 interviews
3 Interview rounds
- Technical Round - 1
- HR Round
- Technical Round - 2
Interview Questions from Similar Companies
Fast track your campus placements
Quantiphi Analytics Solutions Private Limited Machine Learning Engineer Reviews and Ratings
based on 58 reviews
Rating in categories
|
Data Engineer
423
salaries
|  ₹5 L/yr - ₹18 L/yr |
|
Senior Data Engineer
398
salaries
| ₹9 L/yr - ₹26.5 L/yr |
|
Senior Business Analyst
330
salaries
| ₹8 L/yr - ₹28 L/yr |
|
Business Analyst
318
salaries
| ₹6.5 L/yr - ₹14 L/yr |
|
Machine Learning Engineer
309
salaries
| ₹5 L/yr - ₹16 L/yr |
Fractal Analytics
Tiger Analytics
LatentView Analytics
Mu Sigma
- Home >
- Interviews >
- Quantiphi Analytics Solutions Private Limited Interview Questions >
- Quantiphi Analytics Solutions Private Limited Machine Learning Engineer Interview Questions
