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I applied via Naukri.com and was interviewed in Apr 2022. There was 1 interview round.
Python and SQL coding are essential for data science. ML algorithms are used for predictive modeling.
Python is used for data cleaning, manipulation, and visualization.
SQL is used for data querying and manipulation in databases.
ML algorithms are used for predictive modeling and classification tasks.
Examples of ML algorithms include linear regression, decision trees, and neural networks.
I applied via Approached by Company and was interviewed in Aug 2021. There were 4 interview rounds.
Questions related to programming and machine learning concepts.
pass and continue are control statements in Python. pass does nothing and continue skips the current iteration of a loop.
try-except is a block of code used to handle errors and exceptions in Python.
Semi-supervised ML is a type of machine learning where some data is labeled and some is not. Supervised ML uses labeled data while unsupervised ML uses unlabeled...
I am very confident with the syllabus.
I have thoroughly studied and prepared the syllabus.
I have experience teaching the topics covered in the syllabus.
I am up-to-date with the latest developments in the field.
I am confident in my ability to explain complex concepts in a simple manner.
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Data analyst with a passion for transforming data into actionable insights, skilled in statistical analysis and data visualization.
Educational Background: Bachelor's degree in Statistics, focusing on data analysis techniques.
Technical Skills: Proficient in SQL, Python, and data visualization tools like Tableau.
Professional Experience: Worked at XYZ Corp, where I improved reporting efficiency by 30% through automation.
P...
Python is a versatile programming language widely used for data analysis, automation, and web development.
Python is an interpreted language, meaning it executes code line by line, which makes debugging easier.
It supports multiple programming paradigms, including procedural, object-oriented, and functional programming.
Python has a rich ecosystem of libraries, such as Pandas for data manipulation and NumPy for numerical ...
posted on 7 Jun 2024
posted on 28 Feb 2025
Basics of C language
posted on 4 Jun 2025
I appeared for an interview before Jun 2024, where I was asked the following questions.
I applied via Job Portal and was interviewed in Jan 2023. There were 3 interview rounds.
A Data Analyst interprets data to provide insights, support decision-making, and improve business processes.
Collecting and cleaning data from various sources, e.g., databases, spreadsheets.
Analyzing data trends and patterns to inform business strategies, such as sales forecasting.
Creating visualizations and reports to communicate findings, like dashboards using tools like Tableau.
Collaborating with cross-functional tea...
A Data Analyst Intern role enhances skills, builds networks, and opens doors for future opportunities in data-driven industries.
Skill Development: Internships provide hands-on experience with tools like SQL, Python, and data visualization software.
Networking Opportunities: Working with professionals in the field can lead to mentorship and job referrals.
Real-World Experience: Interns learn to apply theoretical knowledge...
posted on 27 May 2025
I appeared for an interview in Nov 2024, where I was asked the following questions.
F1 Score is a metric that combines precision and recall to evaluate the performance of a classification model.
F1 Score is the harmonic mean of precision and recall.
Precision = True Positives / (True Positives + False Positives).
Recall = True Positives / (True Positives + False Negatives).
F1 Score = 2 * (Precision * Recall) / (Precision + Recall).
An F1 Score of 1 indicates perfect precision and recall, while 0 indicates...
Standard deviation measures the amount of variation or dispersion in a set of values.
It quantifies how much individual data points differ from the mean.
A low standard deviation indicates that data points are close to the mean.
A high standard deviation indicates that data points are spread out over a wider range.
Example: For the data set [2, 4, 4, 4, 5, 5, 7, 9], the standard deviation is about 2.
In finance, standard de...
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