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I applied via LinkedIn and was interviewed in Oct 2023. There was 1 interview round.
Approach involves data preprocessing, model training, evaluation, and interpretation.
Perform data preprocessing such as handling missing values, encoding categorical variables, and scaling features.
Split the data into training and testing sets.
Train the logistic regression model on the training data.
Evaluate the model using metrics like accuracy, precision, recall, and F1 score.
Interpret the model coefficients to under...
I would seek opportunities to apply my skills in related fields within the company.
Explore other departments or teams within the company that may have projects related to my field of interest
Offer to collaborate with colleagues in different departments to bring a new perspective to their projects
Seek out professional development opportunities to expand my skills and knowledge in related areas
Test duration of 1 hour based on probability and control statements
I have prior knowledge about various machine learning algorithms.
Linear Regression
Logistic Regression
Decision Trees
Random Forests
Support Vector Machines
Naive Bayes
K-Nearest Neighbors
Gradient Boosting
Neural Networks
I have studied and used various data visualization techniques including bar charts, line graphs, scatter plots, and heat maps.
I have experience creating bar charts to compare data across categories
I have used line graphs to show trends over time
I have created scatter plots to identify correlations between variables
I have used heat maps to visualize data density and identify patterns
Sql test in Hackerrank
I applied via Naukri.com and was interviewed in Jul 2021. There were 3 interview rounds.
I appeared for an interview before Mar 2024.
Vendor reconciliation is the process of ensuring that records between a company and its vendors match.
Involves comparing internal records with vendor statements.
Helps identify discrepancies such as missing invoices or incorrect amounts.
Example: A company finds a $500 invoice recorded differently by the vendor.
Regular reconciliation can prevent payment errors and maintain good vendor relationships.
Typically done monthly
I applied via Campus Placement and was interviewed before Aug 2022. There were 3 interview rounds.
The aptitude questions were bit easy and there were questions about SQL, and also excel sheets.
based on 1 interview
Interview experience
Software Engineer
5
salaries
| ₹18 L/yr - ₹126.8 L/yr |
Senior Software Engineer
4
salaries
| ₹58 L/yr - ₹208 L/yr |
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