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TechVantage Systems
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TechVantage Systems Data Scientist Interview Questions and Answers
TechVantage Systems Data Scientist Interview Experiences
1 interview found
Anonymous
Selected
I applied via LinkedIn and was interviewed before Jul 2023. There were 4 interview rounds.
Basic stat, sql, python, ML related questions
Give a group project and discuss about how you would do that
(2 Questions)
- Q1. Explain favourite ml algorithm
- Ans.
My favorite ML algorithm is Random Forest, as it is versatile, easy to use, and provides high accuracy.
Random Forest is an ensemble learning method that builds multiple decision trees and merges them together to get a more accurate and stable prediction.
It can handle both regression and classification tasks.
Random Forest is less prone to overfitting compared to individual decision trees.
It can handle large data sets wi...
- Q2. Intuition behind neural networks
- Ans.
Neural networks are a type of machine learning model inspired by the human brain, consisting of interconnected nodes that process information.
Neural networks consist of layers of interconnected nodes, each performing a specific function.
They use activation functions to introduce non-linearity into the model.
Neural networks learn by adjusting the weights of connections between nodes through a process called backpropagat...
(1 Question)
- Q1. How would you see yourself in 5 years.
- Ans.
In 5 years, I see myself as a seasoned Data Scientist leading innovative projects and mentoring junior team members.
Continuing to expand my knowledge and skills in data science through continuous learning and professional development opportunities
Taking on more leadership roles within the organization, such as leading project teams or mentoring junior data scientists
Contributing to cutting-edge research and development...
Skills evaluated in this interview
Top trending discussions
Interview questions from similar companies
(2 Questions)
- Q1. What is overfitting in machine learning?
- Ans.
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor performance on unseen data as the model fails to generalize well.
Techniques to prevent overfitting include cross-validation, regularization, and early stopping.
...
- Q2. Overfitting accurs when a model learns the details.......etc
- Ans.
Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts the model's performance on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor generalization and high accuracy on training data but low accuracy on new data.
Techniques to prevent overfitting include cross-validation, regularization, and...
Interview Preparation Tips
Ridam Satkar
Selected
I appeared for an interview before Mar 2024.
(2 Questions)
- Q1. What experience do you have in this role?
- Q2. What tools or technologies are you comfortable using?
- Ans.
I am proficient in various data analysis tools, including Excel, SQL, Python, and visualization software like Tableau.
Excel: Advanced functions, pivot tables, and data visualization.
SQL: Writing complex queries for data extraction and manipulation.
Python: Utilizing libraries like Pandas and NumPy for data analysis.
Tableau: Creating interactive dashboards for data visualization.
R: Statistical analysis and data visualiza
Interview Preparation Tips
Selected
I applied via LinkedIn and was interviewed in Dec 2024. There were 2 interview rounds.
Based on my CV, they assigned me a task related to data migration.
(2 Questions)
- Q1. Project reviews
- Q2. Attendance regarding
(2 Questions)
- Q1. What is the pivot table in Excel
- Ans.
A pivot table in Excel is a data summarization tool that allows you to reorganize and summarize selected columns and rows of data.
Allows users to summarize and analyze large datasets
Can easily reorganize data by dragging and dropping fields
Provides options to calculate sums, averages, counts, etc. for data
Helps in creating interactive reports and charts
Useful for identifying trends and patterns in data
- Q2. A pivot table is used to summarize...........etc.
Interview Preparation Tips
Skills evaluated in this interview
Interview Questionnaire
1 Question
- Q1. Situation based question on experience
Interview Preparation Tips
(2 Questions)
- Q1. No question was asked
- Q2. Same as above, zero questions were asked
Interview Preparation Tips
Selected
I applied via LinkedIn and was interviewed in Jul 2024. There was 1 interview round.
(2 Questions)
- Q1. Why do we hire you?
- Ans.
I have a strong background in data analysis, machine learning, and problem-solving skills that make me a valuable asset to your team.
Extensive experience in data analysis and machine learning techniques
Proven track record of solving complex problems using data-driven approaches
Strong communication and collaboration skills demonstrated through team projects and internships
- Q2. What contributions should you make?
- Ans.
As a Data Science Intern, I should contribute by analyzing data, developing models, and providing insights to drive decision-making.
Analyze data to identify trends and patterns
Develop predictive models to forecast outcomes
Provide actionable insights to stakeholders
Contribute to data-driven decision-making processes
(2 Questions)
- Q1. What is the full form of ETL?
- Ans.
ETL stands for Extract, Transform, Load. It is a process used in data warehousing to extract data from various sources, transform it into a consistent format, and load it into a target database.
ETL stands for Extract, Transform, Load
Extract: Involves extracting data from various sources such as databases, applications, and files
Transform: Involves cleaning, filtering, and transforming the extracted data into a consiste...
- Q2. ETL Full form is Exact, Transform, Load.
Interview Preparation Tips
Data Scientist Interview Questions & Answers
Sravathi AI Technology
Jahnavi Innamuri
posted on 8 Oct 2024
(1 Question)
- Q1. The Interviewer displayed a block of Deep Learning code and asked me to explain it
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TechVantage Systems Data Scientist Interview Process
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Rating in categories
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Data Scientist
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|  ₹5 L/yr - ₹9 L/yr |
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| ₹4.2 L/yr - ₹10 L/yr |
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