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I applied via Company Website and was interviewed in Oct 2024. There was 1 interview round.
I am applying to Facilio because of its reputation for innovation and sustainability in the energy sector.
Facilio's focus on utilizing technology to optimize energy efficiency aligns with my expertise in energy analysis.
I am impressed by Facilio's commitment to sustainability and reducing carbon footprint through smart building solutions.
I believe that working at Facilio will provide me with the opportunity to contribu
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 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
I appeared for an interview in Jun 2016.
I applied via Shine and was interviewed before Apr 2020. There was 1 interview round.
I applied via Recruitment Consultant and was interviewed before Apr 2020. There was 1 interview round.
I applied via Naukri.com and was interviewed in Jun 2020. There was 1 interview round.
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Project Associate
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T-Hub
Indian School of Business
Kerala Startup Mission
iEnergizer