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Python test on list : reverse a list using a single array
Data ingestion architecture
I applied via Job Portal
I applied via Campus Placement
Detailed case with four questions, required intensive number crunching and data analysis.
Suggestions: Stick to your basic understanding of the problem statement and state all your assumptions clearly.
A real business case was presented in a group of 5-7 people. Each one of us was given a specific role and we were told to discuss the case as a group and come up with a detailed solution.
A brief description of your answers/approach: We discussed the problem in hand from different angles - considering each function in detail. In the end of the discussion, we presented the business model of our idea to the Apple representatives in the form of a presentation.
I applied via LinkedIn and was interviewed before Apr 2022. There were 2 interview rounds.
The diagonals AC and BD of a cyclic quadrilateral ABCD intersect each other at the point P. Then, it is always true that
I applied via Company Website and was interviewed in Nov 2021. There was 1 interview round.
Skil set for My relevant job update
Communication discussion
I applied via LinkedIn and was interviewed before Dec 2022. There were 3 interview rounds.
I applied via Recruitment Consulltant and was interviewed before Feb 2023. There was 1 interview round.
The SQL query retrieves department names and the total number of employees in each department.
Use the SELECT statement to retrieve the department names and count of employees.
Join the employee table with the department table using the department ID.
Group the results by department name.
Use the COUNT function to calculate the total number of employees in each department.
This query calculates the total amount of orders placed by each customer.
Use the GROUP BY clause to group the orders by customer.
Use the SUM() function to calculate the total amount of each group.
Join the orders table with the customers table to get the customer names.
I applied via Recruitment Consulltant and was interviewed in Jun 2024. There were 2 interview rounds.
Developed a predictive analytics model to forecast customer churn for a telecom company
Used Python and SQL to clean and analyze customer data
Implemented machine learning algorithms such as logistic regression and random forest
Evaluated model performance using metrics like accuracy, precision, and recall
I have experience in time series forecasting using statistical models and machine learning algorithms.
Utilized ARIMA model to forecast sales data for a retail company
Implemented Prophet algorithm to predict stock prices for a financial institution
Used LSTM neural network for demand forecasting in supply chain management
Excel assessment- was made to make a report from multiple sheets
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