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I applied via Job Fair
(51+52+53+......+100) =
I applied via Campus Placement and was interviewed before May 2023. There were 2 interview rounds.
Proficient in Python, SQL, and PowerBI for data analysis and visualization.
Extensive experience using Python for data manipulation and analysis
Strong SQL skills for querying databases and extracting relevant information
Proficient in creating interactive dashboards and reports using PowerBI
Ability to integrate Python scripts with PowerBI for advanced analytics
Experience in data visualization techniques to communicate in
Code to find anagrams in an array of strings
Iterate through the array of strings
Sort each string alphabetically
Check if the sorted strings are equal to identify anagrams
I applied via campus placement at National Institute of Technology (NIT), Tiruchirappalli and was interviewed before May 2023. There were 2 interview rounds.
Normal aptitude question mixed with some codding questions
I applied via Approached by Company and was interviewed in Jun 2022. There were 3 interview rounds.
I applied via Campus Placement and was interviewed in Apr 2021. There were 3 interview rounds.
Analytics - Regression model case study
I applied via campus placement at Indian Institute of Technology (IIT), Mumbai and was interviewed before May 2023. There was 1 interview round.
I applied via Naukri.com and was interviewed before Apr 2023. There were 2 interview rounds.
Asked some puzzles and guesstimate questions
Precision and recall are two metrics used to evaluate the performance of a classification model.
Precision measures the proportion of true positives among all positive predictions.
Recall measures the proportion of true positives among all actual positives.
Both metrics are important in different scenarios, depending on the cost of false positives and false negatives.
For example, in a medical diagnosis scenario, recall ma...
Normalization and standardization are techniques used to transform data into a common scale.
Normalization scales the data between 0 and 1, making it easier to compare different features.
Standardization transforms the data to have a mean of 0 and standard deviation of 1, making it easier to compare different samples.
Normalization is useful when the scale of the features varies widely, while standardization is useful whe...
Variance and standard deviation are measures of spread or dispersion of a dataset.
Variance is the average of the squared differences from the mean.
Standard deviation is the square root of variance.
They are used to understand the distribution of data and to compare different datasets.
Higher variance or standard deviation indicates more spread or variability in the data.
Lower variance or standard deviation indicates less
I applied via Referral and was interviewed in Aug 2021. There was 1 interview round.
I applied via Approached by Company and was interviewed before Nov 2022. There were 3 interview rounds.
Data Science and Machine Learning MCQS
HSE Officer
3
salaries
| ₹4 L/yr - ₹7.8 L/yr |
Voltas
Thermax Limited
Kirloskar Electric Company
Siemens