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Bajaj Finserv
Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
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I appeared for an interview before Feb 2024.
Convolutional operator is a mathematical operation used in Convolutional Neural Networks (CNN) for feature extraction.
Convolutional operator is a mathematical operation that involves sliding a filter/kernel over an input image to extract features.
In CNN, convolution is used to apply filters to input data to detect patterns and features.
Convolutional layers in CNN use multiple filters to learn different features from th...
Specific loss functions are used to optimize machine learning models by penalizing errors in a way that aligns with the problem at hand.
Different loss functions are suited for different types of problems, such as regression, classification, or ranking.
For example, Mean Squared Error (MSE) is commonly used for regression tasks, while Cross-Entropy Loss is used for classification.
Choosing the right loss function can lead...
In the next 5 years, I see myself leading a team of data scientists, driving impactful projects, and continuously learning and growing in the field.
Leading a team of data scientists to drive innovative projects
Continuously learning and growing in the field of data science
Contributing to the company's success through data-driven insights
I applied via Recruitment Consulltant and was interviewed before Mar 2023. There was 1 interview round.
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I appeared for an interview in Oct 2016.
I cannot provide investment advice, but here are five companies that have shown strong financial performance in recent years.
Apple - consistently high revenue and profit margins
Amazon - dominant player in e-commerce and cloud computing
Microsoft - strong growth in cloud computing and enterprise software
Alphabet (Google) - diversified revenue streams and strong advertising business
Visa - dominant player in the payments i
The Brexit vote could have both positive and negative effects on the Indian economy.
Positive effects: Increased trade opportunities with the UK, potential for attracting foreign investments from companies relocating from the UK.
Negative effects: Uncertainty in global markets leading to volatility in exchange rates, potential decline in exports to the UK.
Example: Indian IT companies may face challenges due to stricter i...
posted on 5 Aug 2024
I applied via Walk-in
Data types in SQL define the type of data that can be stored in a column of a table.
Data types include integer, float, text, date, boolean, etc.
Each data type has specific properties and constraints.
Examples: INT for integers, VARCHAR for variable-length character strings.
DBMS is a software system that manages databases, while RDBMS is a type of DBMS that stores data in a structured format using tables.
DBMS stands for Database Management System, which is a software system that allows users to interact with a database.
RDBMS stands for Relational Database Management System, which is a type of DBMS that stores data in a structured format using tables with relationships between them.
RDBMS e...
posted on 10 Jan 2025
I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.
posted on 16 Apr 2024
I applied via Campus Placement and was interviewed in Oct 2023. There were 3 interview rounds.
It contained python coding questions as well as machine learning questions
Case study related to my project and background and internship
posted on 3 Mar 2023
I applied via Walk-in and was interviewed in Feb 2023. There were 2 interview rounds.
We started with our friends who is Business associate of Motilal Oswal finance services and those 2 friends are take brokership of financial firm, I was already there as a Tech Guy and Reasearcher for Stock Market and Fundamental Analytics , conducted more than 100 stocks analysis to advise clients to reduce the risk.
I applied via Referral and was interviewed before Feb 2023. There were 3 interview rounds.
Salon business effectiveness in an area
Developed a predictive model to forecast customer churn in a telecom company.
Used machine learning algorithms such as logistic regression and random forest.
Performed data preprocessing, feature engineering, and model evaluation.
Achieved an accuracy of 85% in predicting customer churn.
Presented findings to stakeholders and recommended strategies to reduce churn rate.
based on 2 interviews
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