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I appeared for an interview in May 2025, where I was asked the following questions.
To compare product features, analyze data, conduct user surveys, and evaluate market positioning against competitors.
Conduct a feature comparison matrix to list and evaluate key features side by side.
Utilize customer feedback and reviews to assess user satisfaction with each product's features.
Perform a SWOT analysis (Strengths, Weaknesses, Opportunities, Threats) for both the new product and competitors.
Analyze market...
I appeared for an interview in Jan 2025, where I was asked the following questions.
XGBoost is an efficient and scalable implementation of gradient boosting for supervised learning tasks.
XGBoost stands for eXtreme Gradient Boosting, a machine learning algorithm based on decision trees.
It uses an ensemble learning technique, combining multiple weak learners to create a strong predictive model.
XGBoost optimizes the loss function using gradient descent, improving accuracy and reducing overfitting.
It supp...
Market mix modeling analyzes the impact of various marketing channels on sales to optimize marketing strategies.
Uses statistical techniques to assess the effectiveness of marketing campaigns.
Incorporates various factors like advertising spend, promotions, and seasonality.
Helps in budget allocation by identifying high-performing channels.
Example: A company may find that TV ads drive more sales than social media, leading...
I applied via Campus Placement
Leetcode based problem
I applied via Referral and was interviewed before Aug 2023. There were 3 interview rounds.
Basic questions in Python, SQL to test candidates's logical thinking
The candidate's fit in the environment can be assessed through their communication skills, adaptability, teamwork, and problem-solving abilities.
Assess the candidate's communication skills by asking about their experience working in a team or presenting complex data to non-technical stakeholders.
Evaluate the candidate's adaptability by inquiring about their experience with learning new tools or technologies quickly.
Ass...
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I appeared for an interview before Jun 2023.
I applied via Naukri.com and was interviewed before Nov 2023. There was 1 interview round.
Related to python and machine learning problem only
I appeared for an interview before Apr 2024, where I was asked the following questions.
Developed a predictive model for customer churn using machine learning techniques, enhancing retention strategies.
Identified business problem: High customer churn rate impacting revenue.
Collected data from various sources, including CRM and customer feedback.
Performed exploratory data analysis to understand patterns and trends.
Built predictive models using logistic regression and random forests.
Validated model performa...
Faced a challenge with team dynamics and project deadlines, requiring conflict resolution and strategic planning.
Team conflict arose over differing approaches to a project, leading to delays.
Facilitated a meeting to address concerns and align goals, resulting in a collaborative environment.
Implemented a project management tool to improve transparency and track progress.
Encouraged open communication, which helped in res...
I applied via Campus Placement and was interviewed before Nov 2019. There were 4 interview rounds.
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