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I applied via Approached by Company and was interviewed before Mar 2023. There was 1 interview round.
Developed a predictive model for customer churn using machine learning algorithms.
Used Python and scikit-learn library for data preprocessing and model building
Performed feature engineering to improve model performance
Evaluated model performance using metrics like accuracy, precision, and recall
I applied via Naukri.com and was interviewed in May 2024. There were 2 interview rounds.
Multicollinearity can be treated by using techniques like feature selection, PCA, or regularization. Imbalanced datasets can be addressed by resampling techniques like oversampling or undersampling.
For multicollinearity, consider using techniques like feature selection to remove redundant variables, PCA to reduce dimensionality, or regularization like Lasso or Ridge regression.
For imbalanced datasets, try resampling te...
Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
Logistic regression is used when the dependent variable is binary (0/1, True/False, Yes/No, etc.)
It estimates the probability that a given observation belongs to a particular category.
The output of logistic regression is a probability score between 0 and 1.
It uses the logistic function...
I was interviewed before Jun 2016.
A bond is a debt security that represents a loan made by an investor to a borrower.
Bonds are issued by governments, municipalities, and corporations.
They are used to raise capital and finance projects.
Different types of bonds include government bonds, corporate bonds, municipal bonds, and convertible bonds.
Government bonds are issued by national governments and are considered low-risk.
Corporate bonds are issued by comp...
My specialisation subjects in BBA include marketing, finance, human resource management, and operations management.
Marketing involves understanding consumer behavior and creating strategies to promote products or services.
Finance focuses on managing funds, investments, and financial planning.
Human resource management deals with recruiting, training, and managing employees.
Operations management involves overseeing produ...
My favorite subject is history because I enjoy learning about past events and how they have shaped the world we live in today.
I find studying different time periods and cultures fascinating
I enjoy analyzing historical documents and artifacts
I like understanding how historical events have influenced current societies and politics
Yes, I am comfortable with night shifts as I have prior experience working in night shifts.
I have previous experience working night shifts in my previous job.
I am able to adjust my sleep schedule to accommodate night shifts.
I understand the importance of being alert and focused during night shifts.
I am willing to work night shifts if required for the role.
My hobbies include hiking, painting, and playing the guitar.
Hiking: I enjoy exploring nature trails and challenging myself physically.
Painting: I find relaxation and creativity in expressing myself through art.
Playing the guitar: I love learning new songs and improving my musical skills.
My parents work in education and my siblings work in finance and healthcare.
Parents work in education
Siblings work in finance and healthcare
I applied via Campus Placement and was interviewed in Nov 2022. There were 2 interview rounds.
I am a data analyst with a strong background in statistics and programming.
Experienced in analyzing large datasets and extracting meaningful insights
Proficient in statistical analysis and data visualization tools such as Python, R, and Tableau
Skilled in SQL for data querying and manipulation
Strong problem-solving and critical thinking abilities
Effective communication skills for presenting findings to stakeholders
Developed a predictive model to forecast customer churn for a telecommunications company.
Used machine learning algorithms to analyze customer data
Performed feature engineering to identify key predictors of churn
Built and trained a model using historical data
Evaluated model performance and provided actionable insights to reduce churn
I applied via Monster and was interviewed before Nov 2021. There was 1 interview round.
I was interviewed before Mar 2023.
INDas stands for Indian Accounting Standards, which are a set of accounting standards notified by the Ministry of Corporate Affairs in India.
INDas are based on International Financial Reporting Standards (IFRS) to ensure transparency and consistency in financial reporting.
They are mandatory for certain classes of companies in India, such as listed companies and certain other public companies.
INDas aim to improve the qu...
Start bottom up research by identifying specific data points, analyzing them individually, and then synthesizing them into a larger conclusion.
Identify specific data points or pieces of information relevant to the research topic
Analyze each data point individually to understand its significance and implications
Synthesize the individual data points into a larger conclusion or insight
Use a structured approach to organize...
I applied via Referral and was interviewed before May 2022. There were 3 interview rounds.
There was around 6-7 query to write
Requires good SQL query skills
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