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I applied via Approached by Company and was interviewed in Sep 2024. There were 3 interview rounds.
Based upon the profile vary, time series related problems, power BI
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 Approached by Company and was interviewed in Mar 2022. There were 3 interview rounds.
posted on 31 Jul 2024
I applied via Job Portal and was interviewed in Jul 2024. There were 2 interview rounds.
Python programming for 45 for minutes
Hyperparameters of SVM include C, kernel, gamma, degree, and coef0.
C: Regularization parameter that controls the trade-off between achieving a low error on the training data and minimizing model complexity.
Kernel: Specifies the type of hyperplane used to separate the data.
Gamma: Kernel coefficient for 'rbf', 'poly', and 'sigmoid' kernels.
Degree: Degree of the polynomial kernel function.
Coef0: Independent term in kernel...
Hyperparameters can be tuned using techniques like grid search, random search, and Bayesian optimization.
Grid search: Exhaustively search through a specified subset of hyperparameters.
Random search: Randomly sample hyperparameter combinations.
Bayesian optimization: Use probabilistic models to predict the performance of different hyperparameter configurations.
I applied via LinkedIn
Time series case-study
posted on 24 Jul 2021
Fuselage station refers to a specific location on an aircraft's fuselage.
Fuselage station is a measurement of distance along the fuselage, typically measured in inches or millimeters.
It is used as a reference point for various components and systems on the aircraft.
For example, an aircraft's doors, windows, wings, and tail are all located at specific fuselage stations.
Fuselage station 0 is usually defined as the refere...
Butt line is not a commonly used term. It could refer to the line where the buttocks meet the thighs.
Butt line is not a medical term.
It could refer to the line where the buttocks meet the thighs.
It is not a commonly used term and may have different interpretations depending on the context.
Water line refers to the pipe or tubing that carries water from the main supply to a building or property.
Water line is an essential component of a plumbing system.
It can be made of various materials such as copper, PVC, or galvanized steel.
The size of the water line depends on the water demand of the building or property.
Water lines can be underground or above ground.
A water line break or leak can cause significant da
The question is unclear and seems to contain errors.
The question may be referring to 'fast angle' and 'third angle projection' in technical drawing.
Fast angle refers to a type of projection where the object is viewed from an angle that is not perpendicular to any of its faces.
Third angle projection is a method of drawing 3D objects in which the object is placed in a box with three sides and projected onto a plane.
Witho...
A rivet is a metal fastener used to join two or more pieces of material together permanently.
Rivets are commonly used in construction, automotive, and aerospace industries.
They are inserted into pre-drilled holes and then deformed to hold the materials together.
Rivets can be made of various materials including aluminum, steel, and copper.
They are often used in place of screws or bolts when a permanent joint is required...
The number of cutting angles in a reamer varies depending on the type and size of the reamer.
The number of cutting angles can range from 2 to 6.
The cutting angles are designed to remove material from the workpiece as the reamer rotates.
The cutting angles can be straight or spiral, and can be symmetrical or asymmetrical.
The number and angle of the cutting edges can affect the surface finish and accuracy of the hole.
Exam...
Drill bits can have various cutting angles depending on their purpose and material.
The most common cutting angle for general purpose drill bits is 118 degrees.
Drill bits for harder materials like metal may have a sharper angle of 135 degrees.
Masonry drill bits have a flatter angle of 90 degrees to prevent cracking of the material.
The cutting angle affects the efficiency and precision of the drilling process.
Drill bits are made by various manufacturers using different materials and designs.
Drill bits can be made from high-speed steel, cobalt, carbide, or diamond.
Manufacturers include DeWalt, Bosch, Milwaukee, and Irwin.
The design of the drill bit can vary depending on the intended use, such as twist bits, spade bits, or hole saws.
The number of cutting files depends on the project requirements and design complexity.
The number of cutting files can range from a few to hundreds or even thousands.
It also depends on the type of cutting machine being used.
For example, a laser cutting machine may require different files than a CNC router.
The number of cutting files can also vary based on the material being cut and its thickness.
It is important to have ...
I was interviewed in Nov 2020.
Handling critical situations requires quick thinking, clear communication, and a calm demeanor.
Assess the situation and prioritize actions
Communicate clearly and effectively with all parties involved
Remain calm and focused
Take decisive action while considering potential consequences
Seek assistance or advice from colleagues or superiors if necessary
I prioritize the problems based on urgency and importance, and then allocate time and resources accordingly.
Assess the urgency and importance of each problem
Create a plan of action for each problem
Allocate time and resources based on the plan
Regularly reassess and adjust the plan as needed
Example: If one problem is a deadline that cannot be missed and the other is a minor issue, prioritize the deadline and allocate mor
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