Deloitte Data Science Consultant Interview Questions, Process, and Tips

I have used a variety of technologies in my projects, including Python, R, SQL, Tableau, and Hadoop.

• Python - used for data cleaning, preprocessing, and analysis

• R - used for statistical analysis and modeling

• SQL - used for querying and manipulating databases

• Tableau - used for data visualization and creating interactive dashboards

• Hadoop - used for processing and analyzing large datasets

I chose those specific technologies/algorithms based on their suitability for the problem at hand and my experience with them.

• Considered problem requirements and constraints

• Evaluated strengths and weaknesses of available options

• Leveraged prior experience and knowledge

• Prioritized ease of implementation and maintainability

• Examples: Used Random Forest for classification due to its ability to handle large datasets and high...read more

KDD is a process of discovering useful knowledge from data.

• KDD stands for Knowledge Discovery in Databases.

• It involves several steps such as data cleaning, data integration, data selection, data transformation, data mining, pattern evaluation, and knowledge representation.

• The ultimate goal of KDD is to extract useful knowledge from data and use it for decision-making.

• For example, KDD can be used in healthcare to analyz...read more