Kiya.ai Interview Questions, Process, and Tips

Q1. What is Overfitting in decision tree
Ans. 
Overfitting in decision trees occurs when the model learns noise in the training data rather than the underlying pattern.
• Overfitting happens when the decision tree is too complex and captures noise in the training data.

• It leads to poor generalization on unseen data, as the model is too specific to the training set.

• To prevent overfitting, techniques like pruning, setting a minimum number of samples per leaf, or using en
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Q2. What is bagging
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Bagging is a machine learning ensemble technique where multiple models are trained on different subsets of the training data and their predictions are combined.
• Bagging stands for Bootstrap Aggregating.

• It helps reduce overfitting by combining the predictions of multiple models.

• Random Forest is a popular algorithm that uses bagging by training multiple decision trees on random subsets of the data.
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Q3. What is neuron How its used in DL
Ans. 
A neuron is a basic unit of a neural network that receives input, processes it, and produces an output.
• Neurons are inspired by biological neurons in the human brain.

• They receive input signals, apply weights to them, sum them up, and pass the result through an activation function.

• Neurons are organized in layers in a neural network, with each layer performing specific tasks.

• In deep learning, multiple layers of neurons ar...read more
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Q1. Banking and financial terms
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Q2. Difference between data analytics,data engineer and data science
Ans. 
Data analytics focuses on analyzing data to gain insights, data engineering involves building and maintaining data pipelines, and data science combines both to create predictive models.
• Data analytics involves analyzing data to gain insights and make data-driven decisions

• Data engineering focuses on building and maintaining data pipelines to ensure data is accessible and reliable

• Data science combines both data analytics ...read more
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Q1. Linkedin connections
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Q2. How many onboarding per month?
Ans. 
The number of onboarding per month varies depending on the hiring needs and company size.
• Number of onboarding per month can range from 10 to 50 or more, depending on the organization's size and hiring goals.

• Seasonal variations or project-based hiring can also impact the number of onboarding per month.

• Tracking and analyzing onboarding data can help in identifying trends and optimizing the recruitment process.
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They asked fully numerical questions .

An assignment on market research

They are asking guesstimates

Q1. Introduce myself
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Q2. Why kiya.ai
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It was about Ms office tools and some programming language basic.

They just did online interview to know more about myself

Q1. Questions on python
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Q2. Questions on mysql
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Q3. Questions based on my resume information
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