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I applied via Walk-in and was interviewed before Jun 2021. There were 2 interview rounds.
Owner take aptitude test on right way
I have extensive experience in buying and selling products, as well as updating store inventory and displays.
Managed inventory levels to ensure adequate stock and prevent overstocking
Negotiated with suppliers to obtain the best prices and terms
Created visually appealing displays to attract customers and increase sales
Analyzed sales data to identify trends and adjust inventory accordingly
Implemented promotional strategi
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I appeared for an interview in Sep 2020.
I applied via Company Website and was interviewed in Dec 2021. There was 1 interview round.
I applied via Referral and was interviewed before May 2020. There were 4 interview rounds.
Accruals are expenses incurred but not yet paid or recorded in the books.
Accrued salaries and wages
Accrued interest
Accrued taxes
Accrued rent
Accrued utilities
Accrued warranty expenses
I applied via Walk-in and was interviewed before Jan 2020. There were 4 interview rounds.
P2P cycle refers to the Procure-to-Pay cycle, which is the process of purchasing goods or services and paying for them.
The cycle starts with identifying the need for a product or service
Then, a purchase order is created and sent to the supplier
The supplier delivers the product or service and sends an invoice
The invoice is verified and approved for payment
Finally, payment is made to the supplier
Examples include ordering...
I applied via Naukri.com and was interviewed in Oct 2019. There was 1 interview round.
I applied via Naukri.com and was interviewed in Feb 2022. There were 2 interview rounds.
I applied via LinkedIn and was interviewed in Jan 2023. There were 4 interview rounds.
Machine learning algorithms are models used to analyze data and make predictions or decisions without being explicitly programmed.
Supervised learning algorithms: Decision Trees, Support Vector Machines, Linear Regression
Unsupervised learning algorithms: K-means Clustering, Principal Component Analysis
Reinforcement learning algorithms: Q-Learning, Deep Q-Networks
Neural networks are a type of machine learning algorithm inspired by the human brain, consisting of interconnected nodes that process information.
Neural networks consist of layers of interconnected nodes, including input, hidden, and output layers.
Each node receives input, processes it using weights and activation functions, and passes the output to the next layer.
Neural networks learn by adjusting the weights based on...
Different cost functions for regression are used to measure the error between predicted and actual values.
Common cost functions include Mean Squared Error (MSE), Mean Absolute Error (MAE), and Huber Loss.
MSE penalizes larger errors more heavily, while MAE treats all errors equally.
Huber Loss is a combination of MSE and MAE, providing a balance between robustness and sensitivity to outliers.
SQL join operations are used to combine rows from two or more tables based on a related column between them.
Types of SQL joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.
INNER JOIN returns rows when there is at least one 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 th...
Explaining the training strategy
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