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Yum! Data Scientist Interview Questions and Answers
Yum! Data Scientist Interview Experiences
2 interviews found
Anonymous
I applied via Campus Placement and was interviewed in May 2024. There were 4 interview rounds.
1 dsa question 2 sql queries questions on data analysis
(2 Questions)
- Q1. Sql query using window function
- Ans.
Using window functions in SQL to perform calculations within a specific subset of data.
Window functions are used to perform calculations across a set of rows related to the current row.
Common window functions include ROW_NUMBER(), RANK(), DENSE_RANK(), and NTILE().
Example: SELECT employee_id, salary, AVG(salary) OVER (PARTITION BY department_id) AS avg_salary FROM employees;
- Q2. Dsa question of string manipulation
(2 Questions)
- Q1. Sql query advanced level
- Q2. Guesstimate and resume questions
(2 Questions)
- Q1. Basic common HR questions
- Q2. Questions about educational background cultural fit
Interview Preparation Tips
Skills evaluated in this interview
Simple DSA along with data science topics
(1 Question)
- Q1. Mostly on advance data science topics
(1 Question)
- Q1. It was mostly interactive
Top trending discussions
Interview questions from similar companies
Selected
Hackerrank - SQL and Statistics
How to make a regression model
(1 Question)
- Q1. What was the definition of false positive and false negative
- Ans.
False positive and false negative are terms used in data analysis to describe errors in classification models.
False positive refers to a situation where a test result incorrectly indicates the presence of a condition or attribute.
False negative refers to a situation where a test result incorrectly indicates the absence of a condition or attribute.
In medical field, false positive can occur when a healthy person is wrong...
Skills evaluated in this interview
I applied via Job Portal and was interviewed in Mar 2024. There were 2 interview rounds.
Quant,Logical Reasoning
Simple Aptitude and Case study
Interview Questionnaire
1 Question
- Q1. Questions about current and past projects and machine learning concepts.
Interview Preparation Tips
Experience: It was telephonic interview, started with introduction then interviewer asked me about current project and technologies using for implementation. Interviewer was very calm and friendly so I was relaxed, in the end we discussed about job profile, work environment and their expectation from me.
Tips: Know your projects work in details, answer to asked questions very brief and precise, if you don't know answer then be truthfull about it.
College Name: IIT Guwahati
I was interviewed in Apr 2017.
Interview Questionnaire
2 Questions
- Q1. Past and current projects work, and few basic machine learning concepts
- Q2. Questions about machine learning concepts, E.g. classification, regression, clustering, over fitting vs under fitting, boosting etc.
Interview Preparation Tips
Experience: It was telephonic interview, started with introduction, asked me about projects, technologies.
Tips: Know your projects work in detail.
Round: Technical Interview
Experience: It was video conferencing. Interviewer was very informal that made me relaxed and comfortable, asked me various questions on data science, I tried to answer those with how I used those concept in my projects work. It ended on positive note.
Tips: Be truthful, don't assume anything.
College Name: IIT Guwahati
I applied via Campus Placement and was interviewed in Dec 2016. There were 4 interview rounds.
Interview Questionnaire
2 Questions
- Q1. Previous Experience in Analytics
- Ans.
I have 3 years of experience in analytics, working with various tools and techniques.
Worked with SQL, Python, and R for data analysis and visualization
Developed predictive models using machine learning algorithms
Collaborated with cross-functional teams to provide insights and recommendations
Presented findings to stakeholders and executives
Experience in A/B testing and experimentation
Worked with large datasets and data ...
- Q2. Technical questions about analytics
Interview Preparation Tips
Experience: CGPA shortlist
College Name: IIT Madras
Shiva Garg
I applied via Campus Placement
Interview Questionnaire
6 Questions
- Q1. Why your CGPA is so low ?
- Ans.
My CGPA is low because I focused more on gaining practical experience through internships and projects.
I prioritized gaining practical experience over theoretical knowledge
I took up internships and projects to gain hands-on experience
I believe practical experience is more valuable than just academic grades
- Q2. Questions regarding my Time Series Analysis Project
- Q3. Questions about numerical computations techniques like Newtons Raphson Method
- Q4. Walking through your resume
- Q5. 2-3 Puzzles (techinterview)
- Q6. Your inclination towards Startups doesn't support your job-application
Interview Preparation Tips
Experience: CVs were shortlisted mainly on the basis of projects, international exposure and coding background. They were looking for two types of people : who were either having experience in the data analytics field (course,projects) or either having any internship in their department in which they have shown excellent performances.
Tips: Well prepared and reviewed resume would definitely gonna work.
Round: Stress Interview
Experience: It was a 40-50 mins interview in which they start grilling me from the point where I entered the room by asking your CPI is so low, can you justify ? And then there were above listed questions which were asked . Everything went great. They were impressed about my contribution on time-series project and then by my internship experience
Tips: Prepare well and understand each and every letter of your resume, they will go into sufficient details of it. Prepare puzzles, it will definitely help you.
Skills: Confidence, Generic Math Puzzles, Work Experience, Algorithms And Data Structures, Ability To Cope Up With Stress, Time Series
Duration: 2
College Name: IIT Kanpur
Motivation: Excellent job profile in the emerging field of Data science, challenging job opportunities and growth possibilities
I applied via Campus Placement
Interview Questionnaire
6 Questions
- Q1. Briefly go through your resume
- Ans.
I have experience in data analysis, machine learning, and statistical modeling.
Worked as a data analyst at XYZ company for 2 years
Developed predictive models using machine learning algorithms
Conducted statistical analysis on large datasets
Completed a Master's degree in Data Science from ABC University
- Q2. Why low CPI ?
- Ans.
Low CPI may be due to various factors such as low demand, high competition, or ineffective marketing strategies.
Low demand for the product or service
High competition in the market
Ineffective marketing strategies
Lack of differentiation from competitors
Poor product quality or customer service
Economic downturn or recession
Changes in consumer behavior or preferences
- Q3. Some Basic questions regarding projects and puzzles
- Q4. Again why low CPI ? just to test your mantle
- Ans.
Low CPI may indicate inefficiencies in marketing strategies or poor product quality.
Low CPI can be caused by ineffective targeting of ads to the right audience.
It can also be due to poor product quality or lack of demand for the product.
Low CPI may require a reassessment of marketing strategies and product offerings.
Examples of low CPI include unsuccessful ad campaigns or low sales numbers.
Improving CPI can lead to inc...
- Q5. Extra-Currics
- Q6. Strength and weakness
Interview Preparation Tips
Experience: Initial shortlisting was based on resumes. They were looking developers and people having background in stats. Also they shortlisted quite a few with international exposure and decent CPI.
Tips: Machine Learning, Coding Experience, Time-series Analysis
Round: Technical Interview
Experience: It was nice, they were quite adamant on testing my stress handling abilities by asking about my academics background. They were impressed by a project of mine related to time series analysis. The round was for about 40-50 minutes.
Tips: Understand each and every point from your resume. Be prepared about some puzzles. Can do online courses from Coursera on Data science & Machine Learning.
Skills: Generic Math Puzzles, Basics Of Machine Learning, Probability And Statistics, Algorithms And Data Structures, Ability To Cope Up With Stress
Duration: 2
College Name: IIT Kanpur
I applied via Company Website and was interviewed before Jan 2020. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. Which job gives me do that work because of this job very important to me
Interview Preparation Tips
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