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I applied via Naukri.com and was interviewed in Jun 2023. There were 3 interview rounds.
What is the data analyst do and what are the trends they follow while analysing the data
Passion for uncovering insights from data and making data-driven decisions.
Fascination with numbers and patterns
Desire to solve complex problems
Interest in using data to drive business decisions
Ability to communicate findings effectively
I applied via Naukri.com and was interviewed before Jun 2023. There were 2 interview rounds.
Which join is apt based on situation?
One-hot encoding is a technique used to convert categorical variables into a numerical format for machine learning algorithms.
It creates a binary column for each category in the variable, with 1 indicating the presence of the category and 0 indicating absence.
One-hot encoding is commonly used in machine learning models to handle categorical data such as gender, color, or country.
For example, if a 'color' variable has c...
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 Company Website and was interviewed in May 2019. There were 5 interview rounds.
I was interviewed 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 applied via Campus Placement and was interviewed in Mar 2021. There was 1 interview round.
This pen is not just a writing instrument, it's a statement of luxury and exclusivity.
Highlight the pen's unique design and craftsmanship
Emphasize the use of high-quality materials
Mention any special features or functions
Create a sense of exclusivity and rarity
Appeal to the buyer's desire for luxury and status
Offer personalized engraving or customization options
posted on 19 Dec 2024
Sql joins and ranks and all
I applied via Campus Placement and was interviewed in Apr 2021. There were 4 interview rounds.
I am a highly skilled and experienced Business Analyst with a strong background in data analysis and problem-solving.
Over 5 years of experience as a Business Analyst
Proficient in gathering and analyzing business requirements
Expertise in data modeling and visualization tools
Strong communication and presentation skills
Proven track record of successfully implementing process improvements
Collaborated with cross-functional ...
based on 2 interviews
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