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I was interviewed in Dec 2024.
Developed a machine learning model to predict customer churn for a telecom company.
Used supervised learning techniques such as logistic regression and random forests
Preprocessed data by handling missing values and encoding categorical variables
Evaluated model performance using metrics like accuracy, precision, and recall
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
Linear regression aims to find the best-fitting straight line that describes the relationship between variables.
It is commonly used for prediction and forecasting in various fields such as finance, economics, and social sciences.
The equation for linear regression is typically repre...
Linear regression is used for continuous variables while logistic regression is used for binary classification.
Linear regression predicts continuous values while logistic regression predicts probabilities.
Linear regression uses a linear equation to model the relationship between the independent and dependent variables.
Logistic regression uses the logistic function to model the probability of a binary outcome.
Linear reg...
Random forest is an ensemble learning method that uses multiple decision trees to make predictions.
Random forest is a collection of decision trees that are trained on different subsets of the data.
Decision tree is a single tree-like structure that makes decisions based on features of the data.
Random forest reduces overfitting by averaging the predictions of multiple trees.
Decision tree can be prone to overfitting if no...
Precision is the ratio of correctly predicted positive observations to the total predicted positive observations.
Precision = True Positives / (True Positives + False Positives)
It is a measure of the accuracy of the positive predictions made by the model.
A high precision indicates that the model is good at predicting positive cases without many false positives.
Common metrics for linear and logistic regression models are R-squared and confusion matrix respectively.
For linear regression model, common metric is R-squared which measures the proportion of the variance in the dependent variable that is predictable from the independent variables.
For logistic regression model, common metric is confusion matrix which includes metrics like accuracy, precision, recall, and F1 score to ...
Recall is the ratio of correctly predicted positive observations to the all observations in actual class. F1 is the harmonic mean of precision and recall.
Recall is calculated as TP / (TP + FN)
F1 score is calculated as 2 * (precision * recall) / (precision + recall)
Recall is important in scenarios where false negatives are costly, like in medical diagnosis
Ensemble technique combines multiple models to improve prediction accuracy.
Ensemble methods include bagging, boosting, and stacking
Random Forest is an example of ensemble technique using bagging
Gradient Boosting Machine (GBM) is an example of ensemble technique using boosting
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Easy Medium questions
I want to work with ACKO because of their innovative approach to insurance and their strong focus on customer satisfaction.
Innovative approach to insurance - ACKO's use of technology to simplify the insurance process is impressive.
Strong focus on customer satisfaction - ACKO's commitment to providing excellent customer service sets them apart from other insurance companies.
Opportunity for growth and learning - I believ...
Insurance is a financial product that provides protection against financial losses resulting from unexpected events.
Insurance involves a contract between an individual or entity (the policyholder) and an insurance company.
The policyholder pays a premium in exchange for coverage and protection against specified risks.
Types of insurance include health, life, auto, home, and business insurance.
Insurance helps individuals ...
I applied via Company Website and was interviewed in Jan 2021. There were 4 interview rounds.
posted on 30 Aug 2024
I applied via Referral and was interviewed in Jul 2024. There were 3 interview rounds.
I am a dedicated and experienced professional with a strong background in project management and team leadership.
I have over 8 years of experience in project management, leading cross-functional teams to successful project completion.
I excel in strategic planning, problem-solving, and communication skills.
I am passionate about continuous learning and professional development, constantly seeking new challenges and oppor
I will contribute my extensive experience and skills to drive project success and mentor junior team members.
Utilize my expertise in project management to ensure successful project delivery
Provide mentorship and guidance to junior team members to help them grow professionally
Collaborate with team members to brainstorm innovative solutions and drive continuous improvement
Contribute to strategic planning and decision-mak
Sales is the process of persuading potential customers to buy products or services. General insurance provides financial protection against a wide range of risks.
Sales involves identifying potential customers, understanding their needs, and convincing them to make a purchase.
It typically includes activities such as prospecting, qualifying leads, making presentations, and closing deals.
General insurance covers a variety...
posted on 26 Sep 2024
I applied via Referral and was interviewed in Dec 2024. There was 1 interview round.
I want to join digit because of its innovative approach to technology and its reputation for fostering professional growth.
Digit's focus on cutting-edge technology aligns with my passion for innovation.
I am impressed by Digit's track record of supporting employee development and career advancement.
I believe Digit's collaborative work environment will allow me to thrive and contribute effectively.
Experienced Senior Associate with a background in finance and project management.
Over 5 years of experience in financial analysis and reporting
Skilled in project management and leading cross-functional teams
Strong communication and presentation skills
Proficient in data analysis and financial modeling
Previous experience working with Fortune 500 companies
Final assignment to complete
posted on 4 Feb 2024
I applied via Job Fair
Create a controller, service, and repository to save user details using Spring Data JPA.
Create a UserController class with appropriate mappings for saving user details.
Create a UserService class with a method to save user details.
Create a UserRepository interface that extends JpaRepository to handle database operations.
Implement the saveUserDetails method in the UserService class to call the save method of the UserRepo...
I applied via Campus Placement and was interviewed in Nov 2024. There were 4 interview rounds.
Questions from arrays and strings and some aptitude questions
To merge two CSV files, you can use software like Microsoft Excel or programming languages like Python.
Open both CSV files in a software like Microsoft Excel.
Copy the data from one CSV file and paste it into the other CSV file.
Save the merged CSV file with a new name.
Alternatively, you can use programming languages like Python to merge CSV files by reading both files, combining the data, and writing to a new file.
I applied to this company because of its reputation in the industry, opportunities for growth, and company culture.
Reputation in the industry - I have heard great things about the company's innovative projects and successful track record.
Opportunities for growth - The company offers various training programs and career advancement opportunities for employees.
Company culture - I value a positive work environment and the...
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