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C2fo Decision Scientist Interview Questions, Process, and Tips
C2fo Decision Scientist Interview Experiences
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
Interview questions from similar companies
Anonymous
I applied via Referral
(2 Questions)
- Q1. Questions on my Undergraduate and last employment projects. Hackerrank coding round: 2 questions (easy-medium level) Hackerrank Sql round: 2 questions (easy-medium level; window function)
- Q2. Explain working of recommendation system.
- Ans.
Recommendation system uses data analysis and machine learning algorithms to suggest items to users based on their preferences.
Collect user data and item data
Analyze data to find patterns and similarities
Use machine learning algorithms to make predictions and suggest items to users
Continuously update and improve the system based on user feedback
Examples: Netflix suggesting movies based on viewing history, Amazon suggest
Interview Preparation Tips
Although i felt the interview went good, i was not selected because they said they were looking for more experience. I could solve both the coding questions.
Skills evaluated in this interview
I applied via LinkedIn and was interviewed in Mar 2024. There were 3 interview rounds.
Assignment containing the python coding and the pandas data analysis and statistics questions
(2 Questions)
- Q1. Given the tabular data and asked to find the issues in the data and how to solve them.
- Q2. Check if the sentence is palindrome or not.
- Ans.
Check if a sentence is a palindrome or not.
Remove all non-alphanumeric characters and convert to lowercase.
Compare the original sentence with its reverse to check for palindrome.
Example: 'A man, a plan, a canal, Panama' is a palindrome sentence.
(2 Questions)
- Q1. Classical data science questions
- Q2. Given the large dataset and asked to find the answers using pandas
Interview Preparation Tips
Skills evaluated in this interview
sharad hariom
(1 Question)
- Q1. What is difference between delete,drop and truncate. ?
- Ans.
Delete removes specific rows from a table, drop removes entire table structure, and truncate removes all rows from a table.
Delete is a DML command, drop is a DDL command, and truncate is a DDL command.
Delete can be rolled back, drop cannot be rolled back, and truncate cannot be rolled back.
Delete triggers delete triggers, drop triggers drop triggers, and truncate does not trigger any triggers.
Example: DELETE FROM table...
(1 Question)
- Q1. What are iterrators .?
- Ans.
Iterators are objects that allow sequential access to elements in a collection.
Iterators are used to loop through elements in a collection one at a time.
They provide a way to access elements without exposing the underlying data structure.
Iterators have methods like next() to retrieve the next element in the collection.
Examples of iterators include Python's iter() and Java's Iterator interface.
Skills evaluated in this interview
I applied via Referral
(2 Questions)
- Q1. Questions on my Undergraduate and last employment projects. Hackerrank coding round: 2 questions (easy-medium level) Hackerrank Sql round: 2 questions (easy-medium level; window function)
- Q2. Explain working of recommendation system.
- Ans.
Recommendation system uses data analysis and machine learning algorithms to suggest items to users based on their preferences.
Collect user data and item data
Analyze data to find patterns and similarities
Use machine learning algorithms to make predictions and suggest items to users
Continuously update and improve the system based on user feedback
Examples: Netflix suggesting movies based on viewing history, Amazon suggest
Interview Preparation Tips
Although i felt the interview went good, i was not selected because they said they were looking for more experience. I could solve both the coding questions.
Skills evaluated in this interview
A simple Python coding assesment - had fibonacci series and just general python questions
(2 Questions)
- Q1. Probablity Question - Coin toss one
- Q2. Statistical Significance - what it is? and how to use hypothesis testing
- Ans.
Statistical significance refers to the likelihood that a result or relationship is not due to chance.
Statistical significance is a measure of the probability that a relationship between variables is not due to random chance.
Hypothesis testing is a common method to determine statistical significance by comparing observed data to what would be expected by chance.
A p-value is used to determine statistical significance, wi...
I applied via Naukri.com
Python coding round. The question will be regarding list, class and objects
(2 Questions)
- Q1. Why do you want to join our company?
- Ans.
I am impressed by your company's innovative projects and collaborative work culture.
I admire the cutting-edge technologies and projects your company is involved in.
I value the collaborative work culture and team spirit that your company promotes.
I believe my skills and expertise align well with the goals and values of your company.
- Q2. What is your strength?
- Ans.
My strength lies in my ability to analyze complex data sets and derive actionable insights.
Strong analytical skills
Ability to work with large data sets
Experience with data visualization tools like Tableau
Strong problem-solving skills
Effective communication of findings to non-technical stakeholders
I applied via LinkedIn and was interviewed in Apr 2024. There were 2 interview rounds.
MCQ based Python test, SQL, Data Analysis, Machine learning test. Each test should be cleared for further round
Client will give you Assignment question Sample and answer. Similarly you have to give answer. For me Python code , in which my role is to give machine solution with different algorithm approach and test cases with that. It is kind of prompt engineer which will trained the machine for coding
Interview Preparation Tips
- python
- sql
- machine learning
- data analysis
Selected
I applied via LinkedIn and was interviewed before Aug 2023. There were 2 interview rounds.
Python and SQL coding assessment with 2 python question
(3 Questions)
- Q1. Given a string s and integer k , return the maximum number of vowel letters in any substring of s with length k. vowel letters in English are 'a','e','i','o','u' .
- Ans.
Find the maximum number of vowels in any substring of length k in a given string.
Iterate through the string with a sliding window of size k, counting vowels in each substring.
Keep track of the maximum vowel count encountered.
Return the maximum vowel count found.
- Q2. Find all the numbers that appear at least three times consecutively return the result table in any order
- Ans.
Find numbers that appear at least three times consecutively in any order.
Use a window function to track consecutive numbers
Filter the result to only include numbers that appear at least three times consecutively
Return the result table in any order
- Q3. What is the neihbourhood in which superhosts have the biggest median pries difference with respect to non superhosts ?
- Ans.
The neighbourhood with the biggest median price difference between superhosts and non superhosts is X.
Calculate the median price for superhosts and non superhosts in each neighbourhood
Find the neighbourhood with the largest difference in median prices between superhosts and non superhosts
Example: Neighbourhood X has a median price of $200 for superhosts and $150 for non superhosts, resulting in a $50 difference
Interview Preparation Tips
- Python
- pandas
- dataframe
- SQL
- data preprocessing
Skills evaluated in this interview
I applied via Turing and was interviewed in Apr 2024. There was 1 interview round.
The first round was a coding test (the language was Python). There were two questions, each 1.5 hrs. The coding test was monitored. You have to turn on your microphone and camera and share the screen.
While doing this coding test, you also have to write the steps of the code you want to implement.
Interview Preparation Tips
- Python
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