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I applied via campus placement at Indian Institute of Technology (IIT), Chennai and was interviewed in Dec 2016. There were 6 interview rounds.
Developing a predictive model for customer churn in a telecom company
Gathering and cleaning large amounts of customer data
Identifying key predictors of churn through statistical analysis
Building and testing various machine learning models
Iteratively refining the model to improve accuracy
Presenting findings and recommendations to stakeholders
I applied via LinkedIn and was interviewed in Sep 2024. There was 1 interview round.
Developed a predictive model to forecast customer churn for a telecom company
Collected and cleaned customer data including demographics, usage patterns, and customer service interactions
Used machine learning algorithms such as logistic regression and random forest to build the predictive model
Evaluated model performance using metrics like accuracy, precision, recall, and ROC curve
Provided actionable insights to the com
I applied via campus placement at Birla Institute of Technology and Science (BITS), Pilani and was interviewed in Dec 2023. There were 2 interview rounds.
The first round was a 45 min long aptitude and case study round which involved basic aptitude questions along with certain cases like "There has been a drop off in customers booking a hotel though the the total number of visits to the site has not dropped. How would you you design a system to analyze the problem and what kind of data will you collect." It was followed by a couple of HR questions
A mock data set of hotel bookings in different countries for last two years were given a week prior to the interview. We were to clean, prepare, derive insights and recommend actions. All of this needed to be documented as 15 page presentation. This presentation then needed to be presented in a 45 min meet.
SQL - shared question on the screen and asked to code in SQL
I applied via LinkedIn and was interviewed before Jun 2023. There was 1 interview round.
SQL test on hackerrank
I applied via Referral and was interviewed before Jan 2023. There were 5 interview rounds.
Generally 90 min coding test with 3 SQL questions
I applied via Referral and was interviewed before Oct 2023. There were 2 interview rounds.
Resume points are concise descriptions of your work experience, skills, and achievements listed on your resume.
Resume points should be clear, specific, and quantifiable.
Use action verbs to start each point, such as 'developed', 'implemented', 'analyzed'.
Include relevant metrics or results to demonstrate impact, such as 'increased sales by 20%' or 'reduced processing time by 30%'.
I applied via campus placement at Vellore Institute of Technology (VIT) and was interviewed in Aug 2023. There were 3 interview rounds.
Aptitude Test had questions on sql, analytic ques, case study ques on uber
SQL joins are used to combine rows from two or more tables based on a related column between them. Window functions perform calculations across a set of table rows that are related to the current row.
SQL joins are used to retrieve data from multiple tables based on a related column between them (e.g. INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN).
Window functions are used to perform calculations on a set of rows related...
Answering SQL queries in an interview for Data Analyst Intern position
Understand the database schema and tables involved
Use SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY clauses
Practice writing queries for common data analysis tasks like filtering, aggregating, and joining tables
Here they given three case study questions of uber where they would like to check you analytic behavior, they want to know how would you use the data to solve such a problem.
Use SQL with joins to find user with highest restaurant order
Use JOIN to connect user table with order table
Group by user and sum the order amounts
Order by sum in descending order and limit to 1 result
Statistical Analysis related questions
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