Why you want to work for the company.
Associate Data Scientist Interview Questions
500 associate data scientist interview questions shared by candidates
What are parameters in neural network
Opinion based questions in case study were stressed.
How will you manage a particular scenario, like having a difficult time with the manager?
What is the correlation coefficient?
1. Tell us about past projects 2. SQL questions
Q: Tell me about a project you are proud of.
1. Highly Profitable Months The stocks of a company are being surveyed to analyze the net profit of the company over a period. For an analysis parameter � k, an interval of � k consecutive months is said to be highly profitable if the values of the stock prices are strictly increasing for those months. Given the stock prices of the company for � n months and the analysis parameter � k, find the number of highly profitable intervals. Example stockPrices = [5, 3, 5, 7, 8] � = 3 k=3 These are the intervals of � k months in which the stock prices are strictly increasing: [Visual representation of the intervals in a bar graph] Hence the answer is 2. Note: If the interval length is 1, each subarray of length 1 is highly profitable The problem statement in the image is as follows: 2. Rearranging a Word Given word, return the next alphabetically greater string in all permutations of that word. If there is no greater permutation, return the string 'no answer' instead. Example word = 'baca' The string 'baca' has the following permutations in alphabetical order: 'aabc', 'aacb', 'abac', 'abca', 'acab', 'acba', 'baac', 'baca', 'bcaa', 'caab', 'caba', and 'cbaa'. The next alphabetically greater permutation of the original string is 'bcaa'. Function Description Complete the function rearrangeWord in the editor, rearrangeWord has the following parameter(s): string word: the string to analyze Returns string: Return the next alphabetically greater permutation of the string. If no such string exists, return the string 'no answer'.
Coding question was related to the role directly. Before that I was asked a question about what tool/tech I had to learn in my previous roles quickly, how I approched the learning, and some tech questions about the tool
Explain linear regression to a 5 year old. Describe past projects. What's your favorite machine learning model and why. Explain who your key stakeholders were in previous role. How did you communicate results from a machine learning model to key stakeholders.
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