Expert Global Solutions Data Annotation Engineer Interview Questions and Answers

Q1. Walk through your project?
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Developed a predictive model to forecast sales based on historical data
• Collected and cleaned historical sales data

• Performed exploratory data analysis to identify trends and patterns

• Built and trained a machine learning model using regression techniques

• Evaluated model performance using metrics like RMSE and MAE
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Q2. Behavioral questions?
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Q1. Questions based on Advanced Excel like Vlookup, Index match, sumifs, pivot tables
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Q2. Behavioral questions
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Q1. Salary negotiation
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Study in dengue fever with platelet count

Medical knowledge based questions

Q1. General medical questions
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Q2. Antidiabetics , gerd, antihypertension,gout,bones,fracture
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Q1. Introducation salary expectation skills personality
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Q1. Introduction, Journey, questions from CV
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Q1. Tell me about your self
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Q2. What is Vlookup with formula
Ans. 
Vlookup is a function in Excel that searches for a value in a table and returns a corresponding value in the same row.
• Vlookup stands for 'Vertical Lookup'

• It is used to find specific information in a table

• It requires a lookup value, a table array, column index number, and an optional range lookup

• Example: =VLOOKUP(A2, B2:C10, 2, FALSE) will search for the value in A2 in the table array B2:C10 and return the value in the ...read more
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Topic is social media impact on personal relationships.

Q1. They asked sql queries, oops, ml concepts
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Q2. What you know about Encapsulation?
Ans. 
Encapsulation is the concept of bundling data and methods that operate on the data into a single unit.
• Encapsulation helps in hiding the internal state of an object and restricting access to it.

• It allows for better control over the data by preventing outside interference.

• Encapsulation is achieved in object-oriented programming languages through the use of classes and access modifiers.

• For example, in Java, you can use pr...read more
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Java, python, r, powerbi

About powerbi, they have conducted.....

Q1. What is Logistic regression
Ans. 
Logistic regression is a statistical method used to analyze and model the relationship between a binary dependent variable and one or more independent variables.
• It is a type of regression analysis used for predicting the probability of a categorical dependent variable

• It is commonly used in marketing, finance, and healthcare industries

• It uses a sigmoid function to map any real-valued number to a value between 0 and 1

• Exa...read more
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Q2. What are Random Forests
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Random Forests is an ensemble learning method for classification, regression and other tasks.
• Random Forests is a machine learning algorithm that builds multiple decision trees and combines their outputs.

• It is an ensemble learning method that uses bagging and feature randomness to improve the accuracy and prevent overfitting.

• Random Forests can be used for classification, regression, feature selection, and outlier detect...read more
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Q1. What is Natural Language Processing
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Natural Language Processing is a field of study that focuses on making computers understand human language.
• It involves using algorithms and statistical models to analyze and interpret human language.

• NLP is used in various applications such as chatbots, sentiment analysis, and language translation.

• Examples of NLP tools include NLTK, spaCy, and Stanford CoreNLP.
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Q2. What is BERT & Transformers
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BERT & Transformers are natural language processing models used for tasks such as sentiment analysis, question answering, and language translation.
• BERT stands for Bidirectional Encoder Representations from Transformers and is a pre-trained language model developed by Google.

• Transformers are a type of neural network architecture that can process sequential data, such as text, by attending to different parts of the input...read more
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Q3. What are common OCR techniques
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OCR techniques include preprocessing, segmentation, recognition, and postprocessing.
• Preprocessing involves enhancing the image quality and removing noise.

• Segmentation is the process of identifying individual characters or words in the image.

• Recognition involves using machine learning algorithms to recognize the characters or words.

• Postprocessing involves correcting errors and improving the accuracy of the recognized te...read more
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