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eligarf Technologies
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eligarf Technologies Interview Questions, Process, and Tips for Experienced
Top eligarf Technologies Interview Questions and Answers for Experienced
- Q1. Life cycle of vue jsasked in Senior Consultant interview
- Q2. What is insurance? Whats is data annotation? Types of data annotation?asked in Data Annotator interview
eligarf Technologies Interview Experiences for Experienced
6 interviews found
Anonymous
Selected
I applied via Indeed and was interviewed in Mar 2023. There were 3 interview rounds.
Written assessment and script writing
(1 Question)
- Q1. AI questions, SEO-related questions and social media terms
Interview Preparation Tips
Content Writer Interview Questions asked at other Companies
tarang shah
Selected
I applied via Company Website and was interviewed before Feb 2020. There were 3 interview rounds.
Code test javascript
(1 Question)
- Q1. Technical questions on javascript
(1 Question)
- Q1. Basic questions
Senior Consultant Interview Questions asked at other Companies
I applied via Referral and was interviewed in Jan 2022. There were 2 interview rounds.
(3 Questions)
- Q1. Why are you looking for a change?
- Ans.
Looking for new challenges and growth opportunities.
Seeking a role that allows me to utilize my skills and knowledge to a greater extent.
Interested in working with a diverse range of data and projects.
Want to expand my expertise and learn new techniques in data annotation.
Desire to work in a collaborative and innovative environment.
- Q2. Share details of your previous job.
- Ans.
I worked as a data annotator at XYZ company.
Annotated large datasets for machine learning models.
Ensured accuracy and quality of annotations.
Collaborated with team members to resolve annotation challenges.
Used annotation tools and software to label and categorize data.
Maintained documentation of annotation processes and guidelines.
- Q3. Tell me about yourself.
- Ans.
I am a data annotator with experience in the field of data analysis and annotation.
I have a strong background in data analysis and annotation.
I am proficient in using annotation tools and software.
I have experience working with various types of data, such as images, text, and audio.
I am detail-oriented and have a keen eye for accuracy in data annotation.
I have worked on projects involving object detection, sentiment an...
(1 Question)
- Q1. What is insurance? Whats is data annotation? Types of data annotation?
- Ans.
Insurance is a contract between an individual and an insurance company to protect against financial loss. Data annotation is the process of labeling data for machine learning.
Insurance is a way to protect against financial loss due to unexpected events.
Data annotation involves labeling data to make it usable for machine learning algorithms.
Types of data annotation include image annotation, text annotation, and audio an
Interview Preparation Tips
Data Annotator Interview Questions asked at other Companies
Selected
I applied via Referral and was interviewed before Oct 2022. There were 4 interview rounds.
(3 Questions)
- Q1. Basic questions after resume screening like
- Q2. 1. Introduction to yourself 2. educational background 3. salary expectations
- Q3. Tentative date of joining
- Ans.
The tentative date of joining is not available.
The candidate does not have the available data for the tentative date of joining.
The candidate should mention that the date is not confirmed yet.
The candidate can express their willingness to discuss the joining date further during the interview process.
Depends on the profile you are interviewing
An Assignment related to python programming and SQL.
Interview Preparation Tips
Data Engineer Interview Questions asked at other Companies
eligarf Technologies interview questions for popular designations
I applied via Referral and was interviewed in Oct 2020. There were 3 interview rounds.
Interview Questionnaire
3 Questions
- Q1. Tell me about yourself?
- Ans.
I am an experienced Sr. Consultant in Data Annotation AI-ML.
I have a strong background in data annotation and AI-ML.
I have worked on various projects involving data annotation and machine learning.
I have expertise in developing and implementing AI-ML models for data annotation tasks.
I have successfully delivered projects in the field of AI-ML data annotation.
I am skilled in using tools and technologies related to data
- Q2. What were/are you doing in the previous process? Or What were/are your job responsibilities in the previous company?
- Ans.
I was responsible for data annotation and labeling in the previous company.
Annotated and labeled large datasets for training machine learning models
Ensured accuracy and quality of annotations
Collaborated with data scientists and engineers to define annotation guidelines
Used annotation tools and software to annotate various types of data
Managed and organized annotated data for easy retrieval and analysis
- Q3. What is data annotation?
- Ans.
Data annotation is the process of labeling or tagging data to make it understandable for machine learning algorithms.
Data annotation involves adding metadata or labels to raw data.
It helps in training machine learning models by providing labeled examples.
Annotation can be done manually or using automated tools.
Common types of data annotation include image labeling, text tagging, and object detection.
Examples: labeling ...
Interview Preparation Tips
Skills evaluated in this interview
Interview Questionnaire
3 Questions
- Q1. Life cycle of vue js
- Ans.
Vue.js has a continuous development cycle with frequent updates and releases.
Vue.js follows Semantic Versioning (SemVer) for its releases.
Major releases introduce breaking changes and new features.
Minor releases add new features and improvements.
Patch releases only contain bug fixes.
Vue.js 3 is the latest major release with significant improvements over Vue.js 2.
- Q2. Mixer of vue js
- Ans.
Vue.js is a JavaScript framework for building user interfaces.
Vue.js is a progressive framework that can be used for building single-page applications and complex user interfaces.
It uses a virtual DOM and reactive data binding to efficiently update the UI.
Vue.js also provides a powerful set of directives and components for building reusable UI elements.
One popular Vue.js component is the Vue Router, which allows for ea...
- Q3. Components
Skills evaluated in this interview
Senior Consultant Interview Questions asked at other Companies
Jobs at eligarf Technologies
Top trending discussions
Interview questions from similar companies
I applied via Recruitment Consulltant and was interviewed before Jun 2021. There were 3 interview rounds.
(1 Question)
- Q1. When do you prefer Decision Tree better than Random Forest model if model outputs are similar
- Ans.
Decision Tree is preferred over Random Forest when interpretability is important.
Decision Tree is easier to interpret and visualize than Random Forest.
Decision Tree is better suited for small datasets with few features.
Random Forest is better suited for large datasets with many features.
Random Forest is less prone to overfitting than Decision Tree.
Decision Tree can be used as a building block for Random Forest.
If inter...
(1 Question)
- Q1. Why do you want to work here
Interview Preparation Tips
Skills evaluated in this interview
(1 Question)
- Q1. Linear regression? python coding of lists.
(1 Question)
- Q1. Linear regression? python coding
Interview Preparation Tips
Boini Rajkumar
Round 1 Aptitude Test. They Ask Total 24 questions There are Aptitude and Verbal, One Codding question related To Sql Joins.
I applied via LinkedIn and was interviewed before Nov 2021. There were 3 interview rounds.
(2 Questions)
- Q1. Applied through LinkedIn and was shortlisted 1st round was a discussion about current experience and domain knowledge, questions around revenue assurance areas
- Q2. Later was asked some domain questions around telecom frameworks and TMforum frameworks
Was given a business case and was asked to come up with a PPT presentation for a consulting engagement with
Scope
Approach
Timelines
Deliverables
Recommendations
In the area of revenue assurance for a telecom client
Interview Preparation Tips
- Telecom
- SQL
- Revenue Assurance
- Analytics
- Consulting
- Software developement
Subex has their own analytics product/software such as ROC RA/FM, partner settlement, Hypersense ( Data analytics platform)
There will be ample of international working opportunities and exposure as subex's major customer base are in middle East, Africa, Asia and South America. Recently they have gained some footprints in the US region as well
eligarf Technologies Interview FAQs
The duration of eligarf Technologies interview process can vary, but typically it takes about less than 2 weeks to complete.
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eligarf Technologies Interviews By Designations
- eligarf Technologies Data Annotator Interview Questions
- eligarf Technologies Senior Consultant Interview Questions
- eligarf Technologies Associate Interview Questions
- eligarf Technologies Data Annotation Engineer Interview Questions
- eligarf Technologies Content Writer Interview Questions
- eligarf Technologies Full Stack Software Developer Interview Questions
- eligarf Technologies Data Engineer Interview Questions
Interview Questions for Popular Designations
- Analyst Interview Questions
- Software Engineer Interview Questions
- Software Developer Interview Questions
- Intern Interview Questions
- Sales Executive Interview Questions
- Consultant Interview Questions
- Associate Software Engineer Interview Questions
- Graduate Engineer Trainee (Get) Interview Questions
- Show more
eligarf Technologies Interview Process for Experienced
based on 3 interviews
Interview experience
Interview Questions from Similar Companies
eligarf Technologies Reviews and Ratings
based on 189 reviews
Rating in categories
8-12 Yrs
Not Disclosed
10-12 Yrs
Not Disclosed
6-7 Yrs
Not Disclosed
|
Data Annotation Engineer
13
salaries
|  ₹3 L/yr - ₹4 L/yr |
|
Consultant
10
salaries
| ₹3.5 L/yr - ₹4.4 L/yr |
|
Senior Full Stack Developer
9
salaries
| ₹19.6 L/yr - ₹24 L/yr |
|
Senior Consultant
7
salaries
| ₹4.7 L/yr - ₹10.9 L/yr |
|
Data Analyst
5
salaries
| ₹3.5 L/yr - ₹5.5 L/yr |
Fractal Analytics
Subex
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