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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
Top trending discussions
I appeared for an interview in Dec 2021.
Round duration - 90 Minutes
Round difficulty - Easy
Problem solving using SQL questions
Round duration - 90 Minutes
Round difficulty - Easy
A marketing campaign is run, how will you decide metrics to be tracked. Techincaly a KPI round
Metrics selection based on campaign objectives, target audience, and key performance indicators.
Identify campaign objectives and goals
Consider target audience and their behavior
Select key performance indicators (KPIs) relevant to the campaign
Track metrics such as conversion rate, click-through rate, ROI, customer acquisition cost
Analyze data to measure success and make data-driven decisions
Round duration - 30 Minutes
Round difficulty - Easy
Social empathatic fit round
Tip 1 : SQL logics to be understood completely
Tip 2 : A good running working logic of Python
Tip 3 : Basics of Dashboarding
Tip 1 : One pager , single column resume which shows all your skills
Tip 2 : Mention all things that make you relevant for the job
I applied via Referral and was interviewed before May 2023. There was 1 interview round.
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
I applied via LinkedIn and was interviewed before Oct 2023. There were 2 interview rounds.
SQL - technical round
Case Study round - 2
I appeared for an interview before Feb 2024.
Mostly medium leetcode
Mostly medium level DSA
I applied via Approached by Company and was interviewed in Apr 2024. There were 2 interview rounds.
I am proficient in SQL, Python, R, Tableau, and Excel for data analysis and visualization.
SQL
Python
R
Tableau
Excel
SQL Coding Tests. You get 3 tables and they ask you to find customer with certain conditions. Not hard
I applied via LinkedIn and was interviewed before Nov 2023. There were 2 interview rounds.
I applied via Referral and was interviewed in Oct 2024. There were 3 interview rounds.
Sql, python, statistical questions
Daily work involves analyzing data, creating reports, and communicating findings to stakeholders.
Reviewing and cleaning data sets
Creating visualizations and dashboards
Conducting statistical analysis
Communicating insights to non-technical stakeholders
Some of the most commonly used tools for data analysis include Excel, Python, R, Tableau, and SQL.
Excel is widely used for data manipulation and analysis.
Python and R are popular programming languages for data analysis and machine learning.
Tableau is a powerful data visualization tool.
SQL is essential for querying databases and extracting data.
4 sql tasks on 3 tables. Joins, subqueries
I applied via LinkedIn and was interviewed before Mar 2023. There were 2 interview rounds.
The order of execution in SQL is: FROM, WHERE, GROUP BY, HAVING, SELECT, ORDER BY.
1. FROM: Specifies the tables involved in the query.
2. WHERE: Filters the rows based on specified conditions.
3. GROUP BY: Groups the rows that have the same values into summary rows.
4. HAVING: Filters groups based on specified conditions.
5. SELECT: Selects the columns to be included in the result set.
6. ORDER BY: Sorts the result set base
Conditional formatting in Excel allows users to format cells based on specified conditions.
Select the range of cells you want to apply conditional formatting to
Go to the 'Home' tab and click on 'Conditional Formatting'
Choose the desired formatting option, such as color scales, data bars, or icon sets
Set the conditions for when the formatting should be applied, such as greater than, less than, or equal to a certain valu...
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