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Deloitte
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I applied via Approached by Company and was interviewed before Jun 2023. There was 1 interview round.
I applied via Walk-in and was interviewed before May 2022. There were 4 interview rounds.
Basic aptitude test with quants , verbal and the duration was 2 hours
Topic was a Business case study and how we can make it successful. Make sure you are not cutting anybody's point. Stick to the topic , follow inclusive behavior
I was interviewed before Feb 2016.
There is no one-size-fits-all solution for better security. It depends on the specific needs and risks of the organization.
Conduct a thorough risk assessment to identify vulnerabilities and potential threats
Implement a combination of security measures such as firewalls, antivirus software, intrusion detection systems, and encryption
Regularly update and patch software to address known vulnerabilities
Train employees on s...
What people are saying about Deloitte
I have over 10 years of experience in data analysis and management in various industries.
Managed and analyzed large datasets to identify trends and make data-driven decisions
Implemented data quality control measures to ensure accuracy and reliability of data
Collaborated with cross-functional teams to develop data-driven strategies and solutions
Utilized data visualization tools such as Tableau and Power BI to present fi
Experienced Senior Advisor with a background in finance and strategic planning.
Over 10 years of experience in advising senior management on financial decisions
Skilled in developing and implementing strategic plans to drive business growth
Strong analytical and problem-solving skills
Excellent communication and interpersonal abilities
Previously advised a Fortune 500 company on restructuring their investment portfolio
I applied via Approached by Company and was interviewed in Oct 2024. There were 2 interview rounds.
Combination logic on python
Classification is a machine learning technique used to categorize data into different classes or categories based on past observations.
Classification involves training a model on labeled data to predict the class of new, unseen data points.
Common algorithms for classification include logistic regression, decision trees, support vector machines, and k-nearest neighbors.
Examples of classification tasks include spam email...
It was on HackerRank
Building a reward points model.
Machine Learning, Metrics
Basic Mathematics, Statistics questions
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