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I applied via Recruitment Consulltant and was interviewed before May 2023. There was 1 interview round.
Data cleaning was crucial in identifying and removing duplicate entries in a financial dataset.
Identified duplicate entries by comparing key fields such as account numbers and transaction dates
Removed duplicates to ensure accurate analysis and reporting
Ensured data integrity by cross-referencing with external sources
I appeared for an interview in Jun 2016.
To increase newspaper sales in the locality, I would focus on improving content, distribution, and marketing strategies.
Conduct market research to understand readers' preferences and interests
Create engaging and informative content that caters to the local audience
Offer attractive subscription packages and discounts to encourage regular readership
Partner with local businesses and events to increase visibility and distr...
I would like to add a feature that suggests nearby events and attractions based on user preferences.
Personalized event and attraction recommendations
Integration with ticketing platforms for revenue sharing
Increased user engagement and retention
I appeared for an interview in May 2017.
The weight of an aircraft is crucial for its performance and safety.
The weight of an aircraft includes the weight of the aircraft itself, fuel, passengers, cargo, and any other equipment on board.
The weight of an aircraft is measured in pounds or kilograms.
The weight of an aircraft affects its takeoff and landing performance, as well as its fuel efficiency and range.
Aircraft manufacturers provide maximum takeoff and la...
I applied via Referral and was interviewed before Sep 2021. There were 2 interview rounds.
I appeared for an interview before Nov 2019.
SQL query to get top 100 Uber drivers by city
Join drivers and users tables on city
Aggregate driver ratings and count of rides
Order by rating and count of rides
Limit to top 100
Optimizing the listing of Restaurants on Swiggy involves using data-driven strategies to improve visibility, relevance, and user experience.
Analyze user behavior and preferences to understand their needs and preferences
Implement a ranking algorithm based on factors like ratings, reviews, popularity, and delivery time
Optimize search functionality to ensure accurate and relevant results
Collaborate with restaurants to imp...
Linear Regression is used for continuous data while Logistic Regression is used for categorical data.
Linear Regression predicts continuous values while Logistic Regression predicts probabilities.
Linear Regression uses a straight line to fit the data while Logistic Regression uses an S-shaped curve.
Linear Regression uses Mean Squared Error as the cost function while Logistic Regression uses Log Loss.
Linear Regression is...
Bias-Variance trade-off is the balance between overfitting and underfitting. High bias models are simple but inaccurate, low variance models are complex but overfit.
Bias-Variance trade-off is a fundamental concept in machine learning.
High bias models are simple and have low variance, but are inaccurate.
Low bias models are complex and have high variance, but can overfit the data.
Examples of high bias models are linear r...
Possible reasons for a car manufacturer's decline in profits by 40% year over year
Decreased demand for cars due to economic downturn
Increased competition from other car manufacturers
Rising production costs and expenses
Decline in consumer confidence and spending
Changes in government regulations impacting the automotive industry
Developing a market entry strategy for a greentech company focusing on solar energy in India.
Conduct thorough market research to understand the demand and competition in the Indian solar energy sector.
Identify potential partners or local companies to collaborate with for market entry.
Adapt the business model to suit the Indian market, considering factors like affordability, government policies, and infrastructure.
Estab...
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Interview experience
iEnergizer
Bharti Airtel
WNS
Tata Motors