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OneBanc Technologies
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I applied via Campus Placement and was interviewed in Sep 2024. There were 5 interview rounds.
A random topic was given and we had to speak on it
I am passionate about data science and believe your company offers a great opportunity for growth and learning.
Passionate about data science
Believe company offers growth and learning opportunities
Bias in ML refers to the systematic error in a model's predictions, leading to inaccurate results.
Bias is the algorithm's tendency to consistently learn the wrong thing by not taking all factors into account.
It can result from the data used to train the model being unrepresentative or skewed.
Bias can lead to unfair or discriminatory outcomes, especially in sensitive areas like hiring or lending decisions.
Examples inclu...
Regression in ML is a supervised learning technique used to predict continuous values based on input features.
Regression models establish a relationship between dependent and independent variables.
Common regression algorithms include linear regression, polynomial regression, and logistic regression.
Evaluation metrics for regression models include Mean Squared Error (MSE) and R-squared.
Example: Predicting house prices b...
50 question in 15 mins
I am passionate about data science and believe your company offers a great opportunity for growth and learning.
I am passionate about data science and enjoy working with data to derive insights and make informed decisions.
I believe your company is at the forefront of innovation in the field of data science, and I am excited about the opportunity to learn from experts in the industry.
I am impressed by the projects your c...
I applied via Campus Placement and was interviewed in Aug 2024. There was 1 interview round.
I am a data science enthusiast with a strong background in statistics and machine learning.
Completed a Bachelor's degree in Statistics
Proficient in programming languages like Python and R
Experience with data visualization tools like Tableau
Completed projects involving predictive modeling and data analysis
I want to join onebanc because of its innovative approach to financial services and the opportunity to work with cutting-edge technology.
Onebanc's focus on leveraging data science for improving financial services aligns with my career goals.
I am excited about the chance to work with a talented team of data scientists and engineers at onebanc.
The company's commitment to innovation and continuous learning is something th
Developed a machine learning model to predict customer churn for a telecom company.
Used historical customer data to train the model
Features included customer demographics, usage patterns, and customer service interactions
Evaluated model performance using metrics like accuracy, precision, and recall
My hobbies include hiking, reading, and playing the guitar.
Hiking: I enjoy exploring nature trails and challenging myself physically.
Reading: I love diving into different genres of books, from fiction to non-fiction.
Playing the guitar: I find relaxation and creativity in strumming chords and learning new songs.
The average number of tea people drink in a day in Delhi varies depending on individual preferences and habits.
The average number of tea consumed can range from 1-5 cups per day.
Factors such as age, gender, occupation, and cultural background can influence tea consumption.
Some people may drink more tea in the morning for a caffeine boost, while others may prefer tea throughout the day for relaxation.
Tea consumption may...
I applied via Campus Placement and was interviewed in Aug 2024. There was 1 interview round.
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LLM stands for Language Model. Fine tuning involves adjusting hyperparameters and training on specific data.
LLM stands for Language Model, which is a type of AI model that predicts the next word in a sentence.
Fine tuning LLM involves adjusting hyperparameters such as learning rate, batch size, and number of training epochs.
Fine tuning also involves training the LLM on specific data related to the task at hand, such as ...
RAG stands for Red, Amber, Green and is a project management tool used to visually indicate the status of tasks or projects.
RAG 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 indicates tasks that are on track but may need attention, and Green indicates tasks that are on schedule or complet...
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