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MathCo Data Science Intern Interview Questions and Answers

Updated 23 Sep 2024

MathCo Data Science Intern Interview Experiences

3 interviews found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Aug 2024. There were 4 interview rounds.

Round 1 - Aptitude Test 

It was having basic aptitude questions

Round 2 - Communication 

(2 Questions)

  • Q1. They asked basic english question
  • Q2. And alos topic was provided so we had to speak on it.
Round 3 - Technical 

(2 Questions)

  • Q1. SQL syntax and difference between having and where clause
  • Ans. 

    HAVING clause is used with GROUP BY to filter grouped rows, WHERE clause is used to filter individual rows.

    • HAVING clause is used with GROUP BY to filter grouped rows based on aggregate functions

    • WHERE clause is used to filter individual rows based on conditions

    • HAVING clause is applied after GROUP BY, WHERE clause is applied before GROUP BY

    • HAVING clause can only be used with SELECT statement that contains a GROUP BY clau

  • Answered by AI
  • Q2. Difference between array and linkedlist,stack and queue
  • Ans. 

    Arrays store elements in contiguous memory, while linked lists use nodes with pointers. Stacks follow LIFO, queues follow FIFO.

    • Arrays store elements in contiguous memory locations, allowing for constant time access to elements using indices.

    • Linked lists use nodes with pointers to the next node, allowing for dynamic memory allocation and insertion/deletion at any position.

    • Stacks follow Last In First Out (LIFO) principle...

  • Answered by AI
Round 4 - HR 

(2 Questions)

  • Q1. Tell me about your self
  • Ans. 

    I am a data science enthusiast with a strong background in statistics and machine learning.

    • Completed coursework in data analysis, statistical modeling, and predictive analytics

    • Proficient in programming languages such as Python, R, and SQL

    • Experience with data visualization tools like Tableau and Power BI

    • Worked on projects involving regression analysis, clustering, and classification algorithms

  • Answered by AI
  • Q2. Why you want to join this role
  • Ans. 

    I am passionate about using data to solve complex problems and make informed decisions.

    • I have a strong background in statistics, mathematics, and programming, which are essential skills for a data science role.

    • I am excited about the opportunity to work with real-world data and apply machine learning algorithms to extract valuable insights.

    • I am eager to learn from experienced data scientists and contribute to innovative

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Verbal reasoning is a type of aptitude test that assesses your ability to understand,analyze,and interpret written information.

Round 2 - communication round 

(5 Questions)

  • Q1. TELL ME ABOUT YOURSELF
  • Ans. 

    I am a data science enthusiast with a strong background in statistics and machine learning.

    • Completed coursework in data analysis, statistical modeling, and predictive analytics

    • Proficient in programming languages such as Python, R, and SQL

    • Experience with data visualization tools like Tableau and Power BI

    • Completed projects involving regression analysis, clustering, and classification algorithms

  • Answered by AI
  • Q2. TELL ME ABOUT PROJECT
  • Ans. 

    Developed a machine learning model to predict customer churn for a telecom company.

    • Used Python and scikit-learn for data preprocessing and model building

    • Performed feature engineering to create new variables for the model

    • Evaluated model performance using metrics like accuracy, precision, and recall

  • Answered by AI
  • Q3. About skills and how did u learn them
  • Q4. Why do u want to work with us
  • Ans. 

    I am passionate about data science and believe in the impact it can have on driving insights and decision-making.

    • I am excited about the opportunity to work with a team of experienced data scientists and learn from their expertise.

    • I am impressed by the innovative projects and cutting-edge technologies that your company is involved in.

    • I am eager to apply my skills and knowledge in data science to real-world problems and

  • Answered by AI
  • Q5. How do you stay clam when talking to difficult people
  • Ans. 

    I remain calm by actively listening, staying patient, and focusing on finding common ground.

    • Practice active listening to understand their perspective

    • Stay patient and avoid reacting emotionally

    • Focus on finding common ground or a solution to the issue

    • Use positive body language and tone of voice to convey understanding and empathy

  • Answered by AI

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Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before Aug 2022. There were 2 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - One-on-one 

(2 Questions)

  • Q1. Testing of basic analytical skills and questions from resume and projects done recently
  • Q2. Resume based questions only

Interview Preparation Tips

Interview preparation tips for other job seekers - Be thorough with resume

Interview questions from similar companies

I applied via Campus Placement and was interviewed in Oct 2022. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Aptitude Test 

SQL and quant, logical questions were asked.

Round 3 - Technical 

(1 Question)

  • Q1. 1. Tell me about your self 2. Resume based questions 3. Need to write basic SQL queries and also print same output using pandas
Round 4 - Technical 

(1 Question)

  • Q1. 1. Tell me about your self 2. Statistics questions 3. Guestimates 4. Why do you want to join company

Interview Preparation Tips

Interview preparation tips for other job seekers - Have a knowledge on your resume completely and prepare SQL and python libraries very well. Practice guestimates questions as well.
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - One-on-one 

(2 Questions)

  • Q1. They asked about projects
  • Q2. They asked about projects and data analytics
Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Recruitment Consulltant and was interviewed in May 2024. There was 1 interview round.

Round 1 - Aptitude Test 

Basic quants test had to attend.

Interview Preparation Tips

Topics to prepare for Fractal Analytics Data Analyst interview:
  • Python
  • SQL
  • powerbi
Interview preparation tips for other job seekers - keep working on quantitative apptitude
Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Round 1 Aptitude Test. They Ask Total 24 questions There are Aptitude and Verbal, One Codding question related To Sql Joins.

Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
No response

I applied via Company Website and was interviewed before Jan 2024. There were 2 interview rounds.

Round 1 - Coding Test 

SQL Test
3 questions for Solution using SQL queries.

Round 2 - One-on-one 

(4 Questions)

  • Q1. SQL queries using window function
  • Ans. 

    Window functions in SQL are used to perform calculations across a set of table rows related to the current row.

    • Window functions are used to calculate values based on a specific subset of rows within a table.

    • They are commonly used with aggregate functions like SUM, AVG, and COUNT.

    • Examples of window functions include ROW_NUMBER(), RANK(), and NTILE().

  • Answered by AI
  • Q2. Resume questions
  • Q3. Past experience
  • Q4. KPI that you have created
  • Ans. 

    I created a KPI to measure customer retention rate.

    • Developed formula to calculate percentage of customers retained over a specific period

    • Monitored customer churn rate to track effectiveness of retention strategies

    • Analyzed customer feedback and behavior to identify factors influencing retention

    • Implemented initiatives to improve customer retention based on data insights

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Here it all depends on interviewers mood.. he was traveling in mountains. So thats why multiple reschedules (around 4 times).
Then he had bad internet connectivity he didnt hear my responses properly
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I appeared for an interview before Feb 2024.

Round 1 - Coding Test 

The platform used was Deselect, which featured questions on Python, SQL, and aptitude.

Round 2 - Technical 

(3 Questions)

  • Q1. Asked some python and sql questions.
  • Q2. Questions regarding sql joins, having where clause.
  • Q3. Some machine learning questions on regression, classification, confusion matrix, assumptions of linear regression, how bagging boosting works.
Round 3 - Behavioral 

(2 Questions)

  • Q1. Asked questions related to projects mentioned in resume
  • Q2. Asked me to explaind the credit card fraud detection project end to end.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. What are the SQL commands can you explain it
  • Ans. 

    SQL commands are used to interact with databases to perform various operations like querying, updating, and deleting data.

    • SELECT: Retrieves data from a database

    • INSERT INTO: Adds new records to a table

    • UPDATE: Modifies existing records in a table

    • DELETE: Removes records from a table

    • CREATE TABLE: Creates a new table in the database

    • ALTER TABLE: Modifies an existing table structure

    • DROP TABLE: Deletes a table from the databas

  • Answered by AI

Skills evaluated in this interview

MathCo Interview FAQs

How many rounds are there in MathCo Data Science Intern interview?
MathCo interview process usually has 2-3 rounds. The most common rounds in the MathCo interview process are Aptitude Test, Resume Shortlist and One-on-one Round.
What are the top questions asked in MathCo Data Science Intern interview?

Some of the top questions asked at the MathCo Data Science Intern interview -

  1. SQL syntax and difference between having and where cla...read more
  2. difference between array and linkedlist,stack and qu...read more
  3. And alos topic was provided so we had to speak on ...read more

Tell us how to improve this page.

MathCo Data Science Intern Interview Process

based on 3 interviews

Interview experience

4.7
  
Excellent
View more

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