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I applied via Indeed and was interviewed before Apr 2021. There were 5 interview rounds.
There are several types of ML algorithms, including supervised learning, unsupervised learning, and reinforcement learning.
Supervised learning: algorithms learn from labeled data to make predictions or classifications (e.g., linear regression, decision trees)
Unsupervised learning: algorithms find patterns or relationships in unlabeled data (e.g., clustering, dimensionality reduction)
Reinforcement learning: algorithms l...
Time series classification involves using machine learning algorithms to classify time series data based on patterns and trends.
Preprocess the time series data by removing noise and outliers
Extract features from the time series data using techniques such as Fourier transforms or wavelet transforms
Train a machine learning algorithm such as a decision tree or neural network on the extracted features
Evaluate the performan...
PCA stands for Principal Component Analysis. It is a statistical technique used for dimensionality reduction.
PCA is used to reduce the number of variables in a dataset while retaining the maximum amount of information.
It is commonly used in data preprocessing and exploratory data analysis.
PCA is also used in image processing, speech recognition, and finance.
It works by transforming the original variables into a new set...
It is a typical Data Science assignment. We have to answer few questions asked in the assignment like why do you choose the features? or where can you use this model?
The thought process for choosing the model involved considering the problem requirements, available data, and the desired outcome.
Identified the problem requirements and objectives
Explored the available data and its quality
Considered the nature of the problem (classification, regression, etc.)
Evaluated different models suitable for the problem
Analyzed the strengths and weaknesses of each model
Selected the model that be...
EDA involved exploratory analysis of data to identify patterns and insights. Features included demographic and behavioral data. Metrics used were accuracy, precision, recall, and F1 score.
EDA involved data cleaning, visualization, and statistical analysis
Features included age, gender, income, education, and purchase history
Metrics used were accuracy, precision, recall, and F1 score to evaluate model performance
Explorat...
I expect a competitive salary based on my experience, skills, and the market rate for data scientists.
I have researched the average salary range for data scientists in the industry.
I have considered my level of experience and expertise in the field.
I am open to discussing the salary package based on the overall compensation package offered by the company.
I value fair compensation that aligns with the responsibilities a
I worked as a Data Scientist at XYZ company.
Developed machine learning models to predict customer churn.
Analyzed large datasets to identify patterns and trends.
Collaborated with cross-functional teams to develop data-driven solutions.
Implemented data visualization techniques to communicate insights to stakeholders.
I applied via Campus Placement
I applied via LinkedIn
Time series case-study
Rolls-Royce interview questions for popular designations
My greatest strength is my ability to lead and inspire others towards a common goal.
Strong communication skills
Ability to motivate and empower team members
Strategic thinking and problem-solving
Lead by example
Experience in successfully leading teams in previous roles
ML algorithms are mathematical models used to analyze data, make predictions, and automate decision-making processes.
ML algorithms learn from data to make predictions or decisions
They can be supervised (e.g. linear regression, decision trees) or unsupervised (e.g. clustering)
Examples include k-nearest neighbors, support vector machines, and neural networks
I applied via Company Website and was interviewed in Aug 2023. There were 3 interview rounds.
Assesments that are designed to evaluate a developer coding skills and aptitude
I applied via Job Portal and was interviewed in Feb 2023. There were 3 interview rounds.
All aptitude q e e r r r r re e
Customer delivery refers to the process of delivering products or services to the customer in a timely and efficient manner.
It involves ensuring that the product or service meets the customer's expectations
It includes factors such as speed, accuracy, and communication
Examples include delivering a package on time, providing excellent customer service, and meeting deadlines for a project
I applied via Company Website and was interviewed in Oct 2022. There were 3 interview rounds.
Various types of engines include internal combustion, electric, hybrid, and turbine engines.
Internal combustion engines are commonly used in cars and motorcycles.
Electric engines are used in electric cars and some trains.
Hybrid engines combine both internal combustion and electric engines.
Turbine engines are used in airplanes and some power plants.
I applied via Recruitment Consulltant and was interviewed in Jun 2022. There were 2 interview rounds.
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