i
MathCo
Filter interviews by
Clear (1)
I applied via Campus Placement and was interviewed in Aug 2024. There were 4 interview rounds.
It was having basic aptitude questions
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
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...
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
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
I applied via Campus Placement and was interviewed in Mar 2024. There were 2 interview rounds.
Verbal reasoning is a type of aptitude test that assesses your ability to understand,analyze,and interpret written information.
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
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
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
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
I applied via Campus Placement and was interviewed before Aug 2022. There were 2 interview rounds.
Top trending discussions
I was interviewed in Mar 2017.
I believe the recruiting process is thorough and well-organized.
The company uses a combination of resume screening, interviews, and assessments to evaluate candidates.
They have a clear timeline for the hiring process and keep candidates informed of their progress.
Feedback is provided to candidates after interviews to help them improve for future opportunities.
I applied via LinkedIn and was interviewed before Oct 2021. There were 3 interview rounds.
8 python coding
With 2 aptitude
Game based assessment.
More than 8 games need to play
Answering questions related to SQL joins, lambda function in Python, and difference between tuples and lists.
There are four types of joins in SQL: inner join, left join, right join, and full outer join.
Lambda function is an anonymous function in Python that can take any number of arguments, but can only have one expression.
Tuples are immutable and ordered collections of elements, while lists are mutable and ordered col...
I applied via Campus Placement and was interviewed in Nov 2022. There were 5 interview rounds.
Get questions from all topics and medium level questions
They give one topic and provide one minute for thinking its overall 30 min discussion
Latent view and analytics are essential for data-driven decision making. My best achievement is developing a predictive model for customer churn.
Latent view helps to uncover hidden patterns and insights in data that are not immediately apparent.
Analytics provides a systematic approach to analyzing data and extracting meaningful insights.
My best achievement is developing a predictive model for customer churn that helped
Apptitude, tecncal, cognitiive
I applied via Campus Placement and was interviewed in Nov 2023. There were 4 interview rounds.
Blood Relations, Pipes and Cisterns, Time and work etc.
Question based on hashmap
Is Artificial Intelligence boon or ban.
based on 3 interviews
Interview experience
Analyst
229
salaries
| ₹0 L/yr - ₹0 L/yr |
Senior Associate
226
salaries
| ₹0 L/yr - ₹0 L/yr |
Data Analyst
188
salaries
| ₹0 L/yr - ₹0 L/yr |
Associate
142
salaries
| ₹0 L/yr - ₹0 L/yr |
Data Scientist
124
salaries
| ₹0 L/yr - ₹0 L/yr |
Fractal Analytics
Mu Sigma
LatentView Analytics
Tiger Analytics