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I appeared for an interview in Dec 2023.
Medical knowledge based questions
Aptitude regarding Human anatomy & physiology
In the next two years, I aim to enhance my analytical skills, contribute to impactful projects, and advance my career in data analysis.
Develop advanced skills in data visualization tools like Tableau or Power BI to create impactful dashboards.
Gain proficiency in programming languages such as Python or R for data manipulation and analysis.
Participate in cross-functional projects to understand business needs and provide ...
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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.
I applied via Walk-in and was interviewed before Jun 2021. There were 2 interview rounds.
I applied via LinkedIn and was interviewed before Oct 2023. There were 2 interview rounds.
A train running at the speed of 60 km/hr crosses a pole of 9 seconds. what is hte length of train?
Print all prime numbers
I applied via Approached by Company and was interviewed in Sep 2021. There were 4 interview rounds.
It was a data set and my task was to find oit the different types of sales trend weekly, monthly, city wise and gender wise.
Prepare the assignment in attractive manner and maintain the flow
I appeared for an interview in Apr 2021.
Round duration - 45 Minutes
Round difficulty - Medium
Given an array or list of integers 'ARR', identify the second largest element in 'ARR'.
If a second largest element does not exist, return -1.
ARR = [2,...
Find the second largest element in an array of integers.
Iterate through the array to find the largest and second largest elements.
Handle cases where all elements are identical.
Return -1 if a second largest element does not exist.
Round duration - 20 Minutes
Round difficulty - Easy
Tip 1 : Start with basic probability and statistics
Tip 2 : Prepare Machine Learning well
Tip 3 : Be good with any visualisation tool like Tableau
Tip 4 : Do some problems on kaggle
Tip 1 : Provide certifications for SQL, Machine Learning etc.
Tip 2 : Include some good ML projects in the resume
based on 2 interview experiences
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