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I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
MCQ questions, reasoning,psedco codes
Importance Online & office school
Top trending discussions
posted on 18 May 2024
I applied via Walk-in and was interviewed in Apr 2024. There was 1 interview round.
I applied via Campus Placement and was interviewed in Nov 2024. There were 3 interview rounds.
There were verbal, non verbal, reasoning , English and maths questions
I worked on a project analyzing customer behavior using machine learning algorithms.
Used Python for data preprocessing and analysis
Implemented machine learning models such as decision trees and logistic regression
Performed feature engineering to improve model performance
Proficient in Python, R, and SQL with experience in data manipulation, visualization, and machine learning algorithms.
Proficient in Python for data analysis and machine learning tasks
Experience with R for statistical analysis and visualization
Knowledge of SQL for querying databases and extracting data
Familiarity with libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn
I currently stay in an apartment in downtown area.
I stay in an apartment in downtown area
My current residence is in a city
I live close to my workplace
I am a data science enthusiast with a strong background in statistics and machine learning.
Background in statistics and machine learning
Passionate about data science
Experience with data analysis tools like Python and R
I applied via Approached by Company and was interviewed in Dec 2023. There was 1 interview round.
I applied via Campus Placement and was interviewed in Dec 2023. There was 1 interview round.
Large Language Models are advanced AI models that can generate human-like text based on input data.
Large Language Models use deep learning techniques to understand and generate text.
Examples include GPT-3 (Generative Pre-trained Transformer 3) and BERT (Bidirectional Encoder Representations from Transformers).
They are trained on vast amounts of text data to improve their language generation capabilities.
RAGs stands for Red, Amber, Green. It is a project management tool used to visually indicate the status of tasks or projects.
RAGs is commonly used in project management to quickly communicate the status of tasks or projects.
Red typically indicates tasks or projects that are behind schedule or at risk.
Amber signifies tasks or projects that are on track but may require attention.
Green represents tasks or projects that ar...
There is no one-size-fits-all answer as the best clustering algorithm depends on the specific dataset and goals.
The best clustering algorithm depends on the dataset characteristics such as size, dimensionality, and noise level.
K-means is popular for its simplicity and efficiency, but may not perform well on non-linear data.
DBSCAN is good for clusters of varying shapes and sizes, but may struggle with high-dimensional d...
I applied via Campus Placement and was interviewed in Jun 2024. There were 2 interview rounds.
Some basic aptitude questions were asked , but had to be solved in 20 minutes
Medium level 2 leet code questions were asked and i cleared both
I applied via Walk-in and was interviewed before Jul 2021. There was 1 interview round.
I applied via Campus Placement and was interviewed before Jan 2021. There were 2 interview rounds.
Good
I was interviewed in Sep 2016.
Developed a web-based project management tool for a software development company.
Used Agile methodology for development
Implemented features like task assignment, progress tracking, and team collaboration
Integrated with third-party tools like GitHub and Slack
Designed a user-friendly interface with responsive design
Deployed on AWS using EC2 and RDS
My CV showcases my experience in software development, including projects in Java, Python, and web development.
Experience in Java, Python, and web development
Worked on projects involving database management systems
Familiar with Agile development practices
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