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I applied via Naukri.com and was interviewed in Oct 2021. There was 1 interview round.
Developed a predictive model to identify potential customers for a bank
Gathered and cleaned data on customer demographics, financial history, and behavior
Performed exploratory data analysis to identify patterns and correlations
Developed and trained a machine learning model using logistic regression
Evaluated model performance using metrics such as accuracy, precision, and recall
Deployed the model in a web application fo
I am a data scientist with expertise in machine learning and data analysis.
I have a strong background in statistics and mathematics.
I am skilled in programming languages such as Python and R.
I have experience working with large datasets and implementing predictive models.
I have successfully completed projects in various industries, including finance and healthcare.
I am passionate about using data to drive insights and
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Code for parsing a triangle
Use a loop to iterate through each line of the triangle
Split each line into an array of numbers
Store the parsed numbers in a 2D array or a list of lists
The ASCII value is a numerical representation of a character. It includes both capital and small alphabets.
ASCII values range from 65 to 90 for capital letters A to Z.
ASCII values range from 97 to 122 for small letters a to z.
For example, the ASCII value of 'A' is 65 and the ASCII value of 'a' is 97.
I applied via Recruitment Consultant and was interviewed in Mar 2021. There was 1 interview round.
I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.
Data science is the field of extracting insights and knowledge from data using various techniques and tools.
Data science involves collecting, cleaning, and analyzing data to extract insights.
It uses various techniques such as machine learning, statistical modeling, and data visualization.
Data science is used in various fields such as finance, healthcare, and marketing.
Examples of data science applications include fraud...
Python and R are programming languages commonly used in data science and statistical analysis.
Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.
R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.
Both languages are popular choices for data scientists and hav...
I applied via Naukri.com and was interviewed in Mar 2022. There were 2 interview rounds.
Questions related to Pandas, List, String
Decision tree is a tree-like model used for classification and regression. OpenCV parameters include image processing and feature detection.
Decision tree is a supervised learning algorithm that recursively splits the data into subsets based on the most significant attribute.
It is used for both classification and regression tasks.
OpenCV parameters include image processing techniques like smoothing, thresholding, and mor...
posted on 28 Feb 2024
I applied via Naukri.com and was interviewed before Feb 2023. There were 2 interview rounds.
PCA is used to reduce the dimensionality of data by finding the most important features.
PCA is used when dealing with high-dimensional data to reduce the number of features and avoid multicollinearity.
It helps in visualizing data in lower dimensions while retaining as much variance as possible.
PCA is commonly used in image processing, genetics, finance, and other fields where dimensionality reduction is needed.
I applied via Naukri.com and was interviewed in Apr 2023. There were 3 interview rounds.
Finding index of 2 numbers having total equal to target in a list without nested for loop.
Use dictionary to store the difference between target and each element of list.
Iterate through list and check if element is in dictionary.
Return the indices of the two elements that add up to target.
Random forest and KNN are machine learning algorithms used for classification and regression tasks.
Random forest is an ensemble learning method that constructs multiple decision trees and combines their outputs to make a final prediction.
KNN (k-nearest neighbors) is a non-parametric algorithm that classifies new data points based on the majority class of their k-nearest neighbors in the training set.
Random forest is us...
To find unique keys in 2 dictionaries.
Create a set of keys for each dictionary
Use set operations to find the unique keys
Return the unique keys
AWS EC2 model deployment involves creating an instance, installing necessary software, and deploying the model.
Create an EC2 instance with the desired specifications
Install necessary software and dependencies on the instance
Upload the model and any required data to the instance
Deploy the model using a web server or API
Monitor the instance and model performance for optimization
Overloading is the ability to define multiple methods with the same name but different parameters.
Overloading allows for more flexibility in method naming and improves code readability.
Examples include defining multiple constructors for a class with different parameter lists or defining a method that can accept different data types as input.
Overloading is resolved at compile-time based on the number and types of argume...
Expect technical questions as well as moderate level coding questions
I applied via Recruitment Consulltant and was interviewed in Aug 2023. There were 3 interview rounds.
Core Python questions were asked
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