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C2fo Decision Scientist Interview Questions and Answers for Freshers
10 Interview questions
Central Limit Theorem states that the sampling distribution of the sample mean approaches a normal distribution as the sample size increases.
Central Limit Theorem is a fundamental concept in statistics.
It states that the sampling distribution of the sample mean will be approximately normally distributed regardless of the shape of the population distribution.
As the sample size increases, the sampling distribution o...
Precision-Recall AUC is a metric used to evaluate the performance of classification models, particularly in imbalanced datasets.
Precision-Recall AUC focuses on the trade-off between precision and recall for different threshold values.
It is particularly useful when dealing with imbalanced datasets where the positive class is rare.
A higher Precision-Recall AUC indicates better model performance in terms of precision...
Developed predictive model to forecast customer churn using machine learning algorithms
Collected and cleaned customer data from various sources
Performed feature engineering to create relevant predictors
Built and trained machine learning models such as logistic regression and random forest
Evaluated model performance using metrics like accuracy, precision, and recall
Implemented the model in a production environment ...
Chi square test is a statistical test used to determine if there is a significant association between two categorical variables.
Chi square test is used to compare observed frequencies with expected frequencies in a contingency table.
It is commonly used in research to analyze data and determine if there is a relationship between two variables.
For example, it can be used to test if there is a significant difference ...
Use SQL window function to calculate monthwise cumulative sum.
Use the SUM() function with OVER() clause to calculate cumulative sum.
Partition the data by month to get monthwise cumulative sum.
Order the data by date to ensure correct cumulative sum calculation.
K-means clustering is a popular unsupervised machine learning algorithm used for clustering data points into groups based on similarity.
Divides data points into K clusters based on similarity
Minimizes the sum of squared distances within each cluster
Requires specifying the number of clusters (K) beforehand
Iteratively assigns data points to the nearest cluster centroid
Commonly used in customer segmentation, image co...
Binomial distribution is a probability distribution that describes the number of successes in a fixed number of independent trials.
Describes the number of successes in a fixed number of independent trials
Each trial has only two possible outcomes (success or failure)
The trials are independent and the probability of success is constant
Examples: Coin toss (success = heads), Pass/fail exams, Yes/no surveys
I stay up to date with new analytical tools and techniques by attending workshops, online courses, reading research papers, and participating in industry conferences.
Attend workshops and training sessions on new tools and techniques
Take online courses and certifications to learn about the latest advancements
Read research papers and articles to stay informed about cutting-edge methods
Participate in industry confere...
Z test is used when sample size is large and population standard deviation is known. T test is used when sample size is small or population standard deviation is unknown.
Z test is used for hypothesis testing when sample size is large (n > 30) and population standard deviation is known.
T test is used when sample size is small (n < 30) or population standard deviation is unknown.
Z test is used for comparing means of...
Utilized K-means clustering to group customers based on purchasing behavior. Evaluated clusters using silhouette score and inertia.
Used K-means clustering algorithm to group customers into segments
Evaluated the quality of clusters using silhouette score and inertia
Silhouette score measures how similar an object is to its own cluster compared to other clusters
Inertia measures how tightly the clusters are packed tog...
C2fo Decision Scientist Interview Experiences for Freshers
1 interview found
Thejas Iyer
Selected
I applied via LinkedIn and was interviewed before Sep 2023. There were 4 interview rounds.
(5 Questions)
- Q1. What is binomial distribution?
- Ans.
Binomial distribution is a probability distribution that describes the number of successes in a fixed number of independent trials.
Describes the number of successes in a fixed number of independent trials
Each trial has only two possible outcomes (success or failure)
The trials are independent and the probability of success is constant
Examples: Coin toss (success = heads), Pass/fail exams, Yes/no surveys
- Q2. What is K-means clustering?
- Ans.
K-means clustering is a popular unsupervised machine learning algorithm used for clustering data points into groups based on similarity.
Divides data points into K clusters based on similarity
Minimizes the sum of squared distances within each cluster
Requires specifying the number of clusters (K) beforehand
Iteratively assigns data points to the nearest cluster centroid
Commonly used in customer segmentation, image compres...
- Q3. What is central limit theorem?
- Ans.
Central Limit Theorem states that the sampling distribution of the sample mean approaches a normal distribution as the sample size increases.
Central Limit Theorem is a fundamental concept in statistics.
It states that the sampling distribution of the sample mean will be approximately normally distributed regardless of the shape of the population distribution.
As the sample size increases, the sampling distribution of the...
- Q4. A question on probability related to finding a blue stone out of a bag of x blue and x red stones something like that
- Q5. 2 more aptitude questions.
(4 Questions)
- Q1. Past project explanation on predictive modeling
- Ans.
Developed predictive model to forecast customer churn using machine learning algorithms
Collected and cleaned customer data from various sources
Performed feature engineering to create relevant predictors
Built and trained machine learning models such as logistic regression and random forest
Evaluated model performance using metrics like accuracy, precision, and recall
Implemented the model in a production environment for r...
- Q2. What is precision recall auc
- Ans.
Precision-Recall AUC is a metric used to evaluate the performance of classification models, particularly in imbalanced datasets.
Precision-Recall AUC focuses on the trade-off between precision and recall for different threshold values.
It is particularly useful when dealing with imbalanced datasets where the positive class is rare.
A higher Precision-Recall AUC indicates better model performance in terms of precision and ...
- Q3. Coding on sql to find monthwise cumulative sum of something.
- Ans.
Use SQL window function to calculate monthwise cumulative sum.
Use the SUM() function with OVER() clause to calculate cumulative sum.
Partition the data by month to get monthwise cumulative sum.
Order the data by date to ensure correct cumulative sum calculation.
- Q4. Fizzbuzz python coding question. Print fizz if 3, buzz if 5, fizzbuzz if the number is divisible by both 3 and 5.
(5 Questions)
- Q1. What is chi square test and when is it used
- Ans.
Chi square test is a statistical test used to determine if there is a significant association between two categorical variables.
Chi square test is used to compare observed frequencies with expected frequencies in a contingency table.
It is commonly used in research to analyze data and determine if there is a relationship between two variables.
For example, it can be used to test if there is a significant difference in th...
- Q2. When is a z test used and when is t test used.
- Ans.
Z test is used when sample size is large and population standard deviation is known. T test is used when sample size is small or population standard deviation is unknown.
Z test is used for hypothesis testing when sample size is large (n > 30) and population standard deviation is known.
T test is used when sample size is small (n < 30) or population standard deviation is unknown.
Z test is used for comparing means of two ...
- Q3. Clustering project explanation and clustering metrics used.
- Ans.
Utilized K-means clustering to group customers based on purchasing behavior. Evaluated clusters using silhouette score and inertia.
Used K-means clustering algorithm to group customers into segments
Evaluated the quality of clusters using silhouette score and inertia
Silhouette score measures how similar an object is to its own cluster compared to other clusters
Inertia measures how tightly the clusters are packed together
...
- Q4. How do you stay up to date with new analytical tools and techniques.
- Ans.
I stay up to date with new analytical tools and techniques by attending workshops, online courses, reading research papers, and participating in industry conferences.
Attend workshops and training sessions on new tools and techniques
Take online courses and certifications to learn about the latest advancements
Read research papers and articles to stay informed about cutting-edge methods
Participate in industry conferences ...
- Q5. How do you manage time
- Ans.
I prioritize tasks, use time management tools, set deadlines, and minimize distractions.
Prioritize tasks based on importance and deadlines
Use time management tools like calendars and to-do lists
Set specific deadlines for each task to stay on track
Minimize distractions by setting boundaries and creating a focused work environment
(1 Question)
- Q1. Cultural fitment round. Why did you leave previous company, salary expectations, etc etc.
Skills evaluated in this interview
Top trending discussions
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General SQL and Python questions for Data analysis and Visualization tools
(2 Questions)
- Q1. What do you understand y Churn Rate ?
- Ans.
Churn Rate is the percentage of customers who stop using a product or service over a certain period of time.
Churn Rate is calculated by dividing the number of customers who stopped using the product by the total number of customers at the beginning of the period.
It is used to measure customer retention and satisfaction.
A high churn rate indicates that a company may be losing customers at a high rate, while a low churn ...
- Q2. What can be done to increase retention rate ?
- Ans.
To increase retention rate, companies can focus on improving employee engagement, providing opportunities for growth and development, offering competitive compensation and benefits, and creating a positive work culture.
Improve employee engagement through regular feedback sessions and recognition programs
Provide opportunities for growth and development through training programs and career advancement opportunities
Offer ...
Interview Preparation Tips
Saurabh (DeViLZeuS)
Selected
I applied via Approached by Company and was interviewed before Oct 2023. There were 2 interview rounds.
Sql with window functions
Data analysis assignment based on python and SQL including visualisations
I applied via Approached by Company and was interviewed in Oct 2021. There were 3 interview rounds.
Situation bases questions
(1 Question)
- Q1. Tell me about yourself
- Ans.
I am an experienced professional with a strong background in the field. I have a proven track record of success and a passion for what I do.
I have over 10 years of experience in the industry
I have worked with top-tier clients and successfully managed complex projects
I have a deep understanding of the industry trends and market dynamics
I am skilled in building and maintaining strong client relationships
I have a track re...
Interview Preparation Tips
Selected
I applied via IIM Jobs and was interviewed before Mar 2023. There were 3 interview rounds.
SQL + Python based questions
(2 Questions)
- Q1. More SQL + simple aptitude problems
- Q2. Questions on joins, group by etc. Other questions on average speed, guesstimates.
A data set was given and the questions were asked around strategies to handle cancellations.
Interview Preparation Tips
- SQL
- Case Studies
I applied via Approached by Company and was interviewed in Jul 2024. There was 1 interview round.
(5 Questions)
- Q1. Guestimate Question : How many people are there wearing spectacles in Delhi?
- Ans.
It is difficult to accurately estimate the number of people wearing spectacles in Delhi without specific data.
Population of Delhi is around 20 million, so a rough estimate could be based on the global average of 25% of the population wearing spectacles.
Factors such as age demographics, income levels, and access to healthcare facilities can also influence the number of people wearing spectacles.
Survey data or market res...
- Q2. Guestimate Question : How many red lights are there in Bangalore?
- Ans.
It is impossible to accurately estimate the number of red lights in Bangalore without specific data.
The number of red lights in a city can vary based on factors such as population density, traffic flow, and urban planning.
One would need access to official records or data from the city's transportation department to make a more accurate estimation.
Factors like new road constructions, traffic patterns, and signal upgrade...
- Q3. There is a square field of 10m×10m which is divided into 100 squared blocks. Each block can either contain wheat field or corn field. What is the maximum No. of corn field are possible in a such way than n...
- Ans.
The maximum number of corn fields possible in a 10m×10m square field without sharing edges is 25.
The maximum number of corn fields is achieved by placing them in a diagonal pattern across the field.
Each corn field will have 4 wheat fields surrounding it to ensure no two corn fields share an edge.
The total number of corn fields possible in this arrangement is 25.
- Q4. Describe a situation where you have solved complex problem with limited source of information?
- Ans.
Solved a complex problem with limited information by breaking it down into smaller parts and conducting thorough research.
Identified key components of the problem
Conducted thorough research to gather relevant information
Utilized critical thinking and problem-solving skills to connect the dots
Consulted with experts or colleagues for additional insights
Tested different solutions to find the most effective one
- Q5. How did you manage to validate the information when there was some conflictincting information presented to you ?
- Ans.
I cross-referenced the conflicting information with other reliable sources and consulted with relevant stakeholders to determine the accuracy.
Cross-referenced conflicting information with other reliable sources
Consulted with relevant stakeholders for clarification
Analyzed the context and credibility of each source before making a decision
Interview Preparation Tips
I applied via Naukri.com and was interviewed in Oct 2021. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. How do u rate yourself
Interview Preparation Tips
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