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Kapture CX Data Scientist Interview Questions and Answers
Kapture CX Data Scientist Interview Experiences
1 interview found
Pavan Kumar
I applied via Recruitment Consulltant and was interviewed in Jul 2024. There was 1 interview round.
(2 Questions)
- Q1. What are the evaluation metrics for classification problem
- Ans.
Evaluation metrics for classification problems
Accuracy: measures the proportion of correctly classified instances
Precision: measures the proportion of true positive predictions among all positive predictions
Recall: measures the proportion of true positive predictions among all actual positive instances
F1 Score: harmonic mean of precision and recall, balances between precision and recall
ROC-AUC: Receiver Operating Chara...
- Q2. How do you evaluate the llms
- Ans.
I evaluate the llms by analyzing the data, building models, testing them, and iterating for improvement.
Analyze the data to understand patterns and relationships
Build predictive models using machine learning algorithms
Test the models using validation techniques like cross-validation
Iterate on the models based on performance metrics and feedback
Skills evaluated in this interview
Interview questions from similar companies
Anonymous
Selected
I applied via Walk-in and was interviewed before Aug 2023. There were 2 interview rounds.
It was deciphering spoken language to subtitle for a complicated accented show
(2 Questions)
- Q1. Why do you want to work here?
- Ans.
I am passionate about the company's mission and values, and I believe my skills and experience align well with the opportunities here.
Passionate about company's mission and values
Skills and experience align well with opportunities
Excited about potential for growth and development
- Q2. What are you passionate about that made you apply for this job?
- Ans.
I am passionate about using data analysis to drive business decisions and improve processes.
I have always been fascinated by the power of data to uncover insights and drive strategic decision-making.
I enjoy working with large datasets and using statistical tools to extract meaningful information.
I believe that data-driven decision-making is crucial for businesses to stay competitive in today's market.
For example, in my...
Interview Preparation Tips
Selected
I applied via Referral and was interviewed in Aug 2024. There were 3 interview rounds.
Good communication skills
Understanding topics
(2 Questions)
- Q1. Why you are good fit the job?
- Ans.
I have a strong background in data analysis, with experience in utilizing various tools and techniques to derive insights from data.
Extensive experience in data analysis
Proficient in using tools like SQL, Python, and Tableau
Strong problem-solving skills
Ability to communicate complex findings to non-technical stakeholders
- Q2. What is the salary expectation?
- Ans.
Salary expectations are based on experience, skills, location, and industry standards.
Consider factors like your experience, skills, education, location, and the industry norms when determining your salary expectation.
Research the average salary range for Data Analysts in your area and industry to have a realistic expectation.
Be prepared to negotiate based on the job responsibilities and benefits offered by the employe
Interview Preparation Tips
(2 Questions)
- Q1. Introduce Yourself
- Ans.
I am a data analyst with a background in statistics and experience in analyzing large datasets to drive business decisions.
Graduated with a degree in Statistics
Proficient in data analysis tools such as Python, R, and SQL
Experience in creating visualizations to communicate insights
Strong problem-solving skills
- Q2. Skills you have
Selected
I applied via Approached by Company and was interviewed before Jan 2022. There were 3 interview rounds.
(4 Questions)
- Q1. Technical skills required. Some questions of programming languages are asked.
- Q2. What are the SQL command groups?
- Ans.
SQL command groups are DDL, DML, DCL, and TCL.
DDL (Data Definition Language) - used to define database schema and structure
DML (Data Manipulation Language) - used to manipulate data stored in the database
DCL (Data Control Language) - used to control access to data stored in the database
TCL (Transaction Control Language) - used to manage transactions in the database
Examples: CREATE, ALTER, DROP (DDL); SELECT, INSERT, UP...
- Q3. Explain Object Oriented Programming in Python?
- Ans.
Object Oriented Programming is a programming paradigm that uses objects to represent real-world entities.
Python supports OOP concepts such as encapsulation, inheritance, and polymorphism.
Classes are used to create objects, which have attributes and methods.
Inheritance allows for the creation of subclasses that inherit properties and methods from a parent class.
Polymorphism allows for the use of a single method or funct...
- Q4. VLookup, Hlookup, Pivot Table in Excel
You will be asked to share the screen and write the codes as asked.
Interview Preparation Tips
Work environment is fantastic..
Skills evaluated in this interview
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 appeared for an interview 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
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 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
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Kapture CX Data Scientist Interview Process
based on 1 interview
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