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I applied via Recruitment Consulltant and was interviewed in Jun 2024. There was 1 interview round.
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I was interviewed in Jul 2024.
Focus on logical reasoning, quantitative analysis, and verbal reasoning.
Two questions were given that pertained to arrays and strings. It is advisable to practice more with array and string manipulation.
It was an elimination round, and the assigned topic was ChatGPT. We discussed it for 30 minutes.
I am a data analyst with 5 years of experience in analyzing and interpreting complex data sets. I have a strong background in statistical analysis and data visualization.
I have a Bachelor's degree in Statistics from XYZ University.
I have experience using tools such as SQL, Python, and Tableau for data analysis.
I have worked on projects involving predictive modeling, data mining, and trend analysis.
I am familiar with th...
Assessment test about your JD
I managed reports in the system by creating templates, gathering data, analyzing trends, and presenting findings to stakeholders.
Created report templates to standardize format and content
Gathered data from various sources such as databases, spreadsheets, and software systems
Analyzed trends and patterns in the data to identify insights and opportunities
Presented findings to stakeholders through visualizations, charts, a
I applied via Campus Placement and was interviewed before May 2022. There were 4 interview rounds.
Test based on Python Programming nomenclatures and statistical concepts.
One topic to discuss based on latest in technology. For example Impact of AI on human jobs
Naive Bayes Algorithm is a simple probabilistic classifier based on Bayes' theorem with strong independence assumptions.
It is based on the assumption that the presence of a particular feature in a class is unrelated to the presence of any other feature.
It calculates the probability of each class given a set of input features and selects the class with the highest probability.
Commonly used in text classification, spam f...
Logistic Regression is a statistical method used to model the probability of a binary outcome.
Logistic Regression is used when the dependent variable is binary (e.g., 0 or 1, Yes or No).
It estimates the probability that a given input belongs to a certain category.
Assumptions of linear regression include linearity, independence of errors, homoscedasticity, and normality of errors.
I applied via Job Fair and was interviewed in Sep 2023. There was 1 interview round.
I delivered more than expected by implementing a new machine learning algorithm that significantly improved model accuracy.
Identified the need for a more advanced algorithm based on data analysis
Researched and implemented a cutting-edge machine learning algorithm
Tested the new algorithm on a sample dataset and compared results with existing models
Achieved a significant increase in model accuracy, exceeding initial expe
I applied via Naukri.com and was interviewed before Jan 2022. There were 2 interview rounds.
SCM stands for Supply Chain Management. It involves the coordination and management of activities involved in the production and delivery of goods and services.
SCM involves the planning, sourcing, manufacturing, and delivery of products or services
It aims to optimize the supply chain to reduce costs and improve efficiency
SCM includes activities such as inventory management, logistics, and procurement
Examples of SCM sof
P2P is a process of procuring goods and services from suppliers. SCM practices in manufacturing involve managing the flow of goods from raw materials to finished products.
P2P involves requisition, purchase order, receipt of goods, and payment to suppliers.
SCM practices in manufacturing include inventory management, demand forecasting, production planning, and logistics.
Effective SCM practices can reduce costs, improve ...
I applied via Walk-in and was interviewed before Feb 2023. There were 2 interview rounds.
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