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I applied via Referral and was interviewed before Jan 2021. There was 1 interview round.
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posted on 2 Jan 2021
I applied via Referral and was interviewed before Jan 2020. There were 6 interview rounds.
I applied via Company Website and was interviewed in Sep 2021. There was 1 interview round.
posted on 18 Sep 2024
I applied via LinkedIn and was interviewed before Sep 2023. There was 1 interview round.
Work experience refers to the practical knowledge and skills gained from employment in a specific field or industry.
Work experience includes tasks, responsibilities, and projects completed in a professional setting.
It can be gained through internships, part-time jobs, full-time positions, or volunteer work.
Work experience helps individuals develop industry-specific skills, build a professional network, and gain a bette...
SQL is a programming language used for managing and querying databases. Power BI is a business analytics tool for visualizing and analyzing data.
SQL stands for Structured Query Language and is used to communicate with databases.
SQL can be used to retrieve, update, and manipulate data in databases.
Power BI is a data visualization tool that allows users to create interactive reports and dashboards.
Power BI can connect to...
Math , gk, english
AI
HashMap is a data structure that stores key-value pairs and provides constant time complexity for basic operations.
HashMap allows quick access to values based on their keys
Keys must be unique and values can be duplicated
HashMap is not thread-safe and requires synchronization for concurrent access
Java's HashMap implementation uses hashing to distribute keys across buckets
I applied via LinkedIn and was interviewed before Dec 2023. There was 1 interview round.
posted on 21 May 2024
I applied via Approached by Company and was interviewed in Apr 2024. There was 1 interview round.
posted on 2 Jul 2024
Statistics Questions
Assumptions of Machine Learning include data availability, feature relevance, and model interpretability.
Data availability is crucial for training machine learning models.
Assumptions about the relevance of features in the data must be made.
Model interpretability is important for understanding the decisions made by the machine learning model.
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