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I applied via Walk-in and was interviewed in Nov 2024. There were 3 interview rounds.
Guesstimation question provided.
I know that the company specializes in data analysis and has a strong reputation in the industry. In five years, I envision myself leading a team of analysts and contributing to the company's growth.
Company specializes in data analysis
Has a strong reputation in the industry
Envision myself leading a team of analysts in five years
Contributing to the company's growth
Window functions are used in SQL to perform calculations across a set of table rows related to the current row.
Types include ROW_NUMBER(), RANK(), DENSE_RANK(), NTILE(), LAG(), LEAD(), FIRST_VALUE(), LAST_VALUE(), etc.
They allow for calculations to be performed on a specific subset of rows within a query result set.
Window functions are commonly used for running totals, moving averages, and ranking data.
Joins are used to combine rows from two or more tables based on a related column between them.
Inner Join: Returns rows when there is a match in both tables.
Left Join: Returns all rows from the left table and the matched rows from the right table.
Right Join: Returns all rows from the right table and the matched rows from the left table.
Full Outer Join: Returns rows when there is a match in one of the tables.
Cross Join:
Hackerrank test mostly on python and sql
posted on 29 Mar 2024
I applied via Referral and was interviewed before Mar 2023. There were 2 interview rounds.
Intermediate level coding round
Developed a predictive analytics model to forecast customer churn for a telecommunications company.
Collected and cleaned customer data from various sources
Performed exploratory data analysis to identify patterns and trends
Built a machine learning model using logistic regression to predict customer churn
Evaluated the model's performance using metrics such as accuracy, precision, and recall
I applied via Approached by Company and was interviewed in Dec 2021. There was 1 interview round.
The project architecture consists of multiple components that work together to process and analyze data.
The architecture follows a distributed computing model.
Data is collected from various sources and stored in a data lake or data warehouse.
Data processing and transformation tasks are performed using tools like Apache Spark or Hadoop.
Processed data is then loaded into a database or data store for further analysis.
Anal...
Our architecture lacks scalability and real-time processing capabilities.
Our current architecture is not designed to handle large volumes of data.
Real-time processing of data is not possible with our current setup.
We lack a proper data pipeline for efficient data processing.
Our architecture is not fault-tolerant and lacks redundancy.
We need to improve our data storage and retrieval mechanisms.
Our architecture does not ...
I applied via Walk-in and was interviewed in Nov 2024. There were 3 interview rounds.
Guesstimation question provided.
I know that the company specializes in data analysis and has a strong reputation in the industry. In five years, I envision myself leading a team of analysts and contributing to the company's growth.
Company specializes in data analysis
Has a strong reputation in the industry
Envision myself leading a team of analysts in five years
Contributing to the company's growth
I applied via Referral and was interviewed in Sep 2023. There were 4 interview rounds.
Technical SQL Coding Round of 1 hour
Began with 2 easy generic question -
1. No. of record on different types of joins.
2. Employees who have higher salaries than their managers,
Then moved to medium questions -
1. Implement Rolling sum with & without window functions.
2. Other questions were on CTEs, Joins & other complex queries.
Bar Raiser Round of 1 hour involving -
1. Case study: How can we leverage product knowledge & analytics to increase Amazon Prime Revenue from 10% to 12%?
2. Metrics awareness: Common metrics discussion like DAU, PDAU, MAU, Retention, Churn, etc.
3. Resume based work exp discussion
based on 3 reviews
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