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I applied via Approached by Company and was interviewed before Oct 2022. There were 2 interview rounds.
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I applied via Walk-in and was interviewed in Jul 2024. There was 1 interview round.
My goal is that I will do a good marketing job in a good company.
This company is good and I want to learn a lot from this company.
posted on 24 Dec 2024
I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.
I am a recent graduate with a degree in Marketing, passionate about creating innovative marketing strategies and driving business growth.
Recent graduate with a degree in Marketing
Passionate about creating innovative marketing strategies
Driven to contribute to business growth
I applied via Naukri.com and was interviewed in Feb 2024. There was 1 interview round.
I am currently using Microsoft Excel for data analysis and reporting.
Microsoft Excel is a spreadsheet software used for organizing and analyzing data.
I use Excel to create pivot tables and charts to visualize data trends.
I also use Excel functions and formulas for calculations and data manipulation.
I used the tool to create a detailed project timeline for a major client presentation.
Researched and selected the appropriate project management tool based on client needs
Inputted all project tasks, deadlines, and dependencies into the tool
Regularly updated and monitored the timeline to ensure project milestones were met
Generated reports and visual representations of the timeline for client review
I applied via LinkedIn
Experienced marketing professional with a proven track record of driving successful campaigns and increasing brand awareness.
Over 8 years of experience in marketing roles
Led successful campaigns that resulted in a 20% increase in sales
Skilled in digital marketing strategies such as SEO and social media advertising
I applied via Company Website and was interviewed in Apr 2023. There was 1 interview round.
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
I applied via Approached by Company
I applied via Referral and was interviewed in Apr 2023. There were 2 interview rounds.
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