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Yes, I have a typing speed.
I have been practicing typing regularly and have developed a fast and accurate typing speed.
I can type at a speed of 70 words per minute with an accuracy rate of 95%.
I have experience in data entry roles where typing speed was a crucial requirement.
I am familiar with various typing techniques and can efficiently use a keyboard.
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I appeared for an interview in Mar 2017.
I believe the recruiting process is thorough and well-organized.
The company uses a combination of resume screening, interviews, and assessments to evaluate candidates.
They have a clear timeline for the hiring process and keep candidates informed of their progress.
Feedback is provided to candidates after interviews to help them improve for future opportunities.
posted on 27 Aug 2022
I applied via Naukri.com and was interviewed before Aug 2021. There were 2 interview rounds.
Sourcing business involves networking, referrals, cold calling, and marketing strategies.
Networking with industry professionals and attending events
Asking for referrals from satisfied clients
Cold calling potential clients and introducing the company's services
Implementing effective marketing strategies such as social media and email campaigns
Building relationships with existing clients to encourage repeat business and
posted on 19 Feb 2025
I have extensive experience in analyzing data to provide valuable insights and drive decision-making. I can contribute by leveraging my skills to improve processes and optimize performance.
I have worked with various data analysis tools and techniques to extract, clean, and analyze data sets.
I have experience in creating visualizations and reports to communicate findings to stakeholders.
I have a track record of identify...
I applied via Naukri.com and was interviewed before Feb 2023. There was 1 interview round.
posted on 23 Nov 2021
I applied via Referral and was interviewed in Oct 2021. There were 3 interview rounds.
posted on 2 Feb 2022
I appeared for an interview in Apr 2021.
Round duration - 120 minutes
Round difficulty - Easy
After the resume shortlisting, we were given a test link which needs to be done within 24 hours after getting it.
There were questions from Aptitude , Machine Learning, Probability , Excel and SQL
Round duration - 45 Minutes
Round difficulty - Medium
We were asked to explain the Tableau Dashboard in detail. Some additional questions were also asked from Tableau. ML and Deep Learning questions were also asked along with a standard gfg puzzle.
Round duration - 30 Minutes
Round difficulty - Easy
One business case study was asked.
Round duration - 20 minutes
Round difficulty - Easy
Standard HR questions were asked.
Tip 1 : We need to be clear with basics of differentiation calculus and probability to get a good understanding of ML algorithms.
Tip 2 : Also, we tend to ignore statistics , but statistics should not be skipped at any cost.
Tip 3 : There should be atleast 2-3 good ML projects for which you are fully confident. You can have one project for topics like supervised learning , unsupervised learning, recommendation systems and if possible deep learning project can also be included.
Tip 4 : You should be fair enough with any one visualisation tool like Tableau, Power BI etc.
Tip 5 : Practice as much as you can from kaggle
Tip 1 : Needs to have atleast 2 ML projects.
Tip 2 : Things like Excel, SQL , and Tableau should be mentioned in the resume.
Tip 3 : Certifications for ML and Excel, SQL and Tableau will help you getting shortlisted.
Tip 4 : And last but not the least, any false thing should not be included if you are not at all aware of it.
I appeared for an interview in Apr 2021.
Round duration - 120 Minutes
Round difficulty - Easy
After the resume shortlisting, we were given a test link which needs to be done within 24 hours after getting it.
There were questions from Aptitude , Machine Learning, Probability , Excel and SQL
Round duration - 120 Minutes
Round difficulty - Easy
Round duration - 45 Minutes
Round difficulty - Medium
We were asked to explain the Tableau Dashboard in detail. Some additional questions were also asked from Tableau. ML and Deep Learning questions were also asked along with a standard gfg puzzle.
Round duration - 30 Minutes
Round difficulty - Easy
One business case study was asked.
Round duration - 20 minutes
Round difficulty - Easy
Standard HR questions were asked.
Tip 1 : We need to be clear with basics of differentiation calculus and probability to get a good understanding of ML algorithms.
Tip 2 : Also, we tend to ignore statistics , but statistics should not be skipped at any cost.
Tip 3 : There should be atleast 2-3 good ML projects for which you are fully confident. You can have one project for topics like supervised learning , unsupervised learning, recommendation systems and if possible deep learning project can also be included.
Tip 4 : You should be fair enough with any one visualisation tool like Tableau, Power BI etc.
Tip 5 : Practice as much as you can from kaggle
Tip 1 : Needs to have atleast 2 ML projects.
Tip 2 : Things like Excel, SQL , and Tableau should be mentioned in the resume.
Tip 3 : Certifications for ML and Excel, SQL and Tableau will help you getting shortlisted.
Tip 4 : And last but not the least, any false thing should not be included if you are not at all aware of it.
based on 40 reviews
Rating in categories
Data Entry Operator
143
salaries
| ₹0.4 L/yr - ₹4 L/yr |
Customer Care Executive
88
salaries
| ₹1 L/yr - ₹3.6 L/yr |
Process Associate
54
salaries
| ₹1 L/yr - ₹3 L/yr |
Assistant Manager
50
salaries
| ₹3 L/yr - ₹7 L/yr |
Team Lead
45
salaries
| ₹1.3 L/yr - ₹4 L/yr |
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