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I applied via Naukri.com and was interviewed before Oct 2022. There were 4 interview rounds.
Lead form submissions can be used for capturing potential customer information for follow-up and marketing purposes.
Capturing contact information for potential leads
Qualifying leads based on the information provided in the form
Segmenting leads for targeted marketing campaigns
Nurturing leads through personalized communication
Tracking lead conversion rates and ROI
The minimum number of lifts in an office building can be estimated based on factors like building size, occupancy rate, and floor layout.
Consider the size of the building - larger buildings may require more lifts to efficiently transport occupants
Take into account the occupancy rate - higher occupancy rates may necessitate more lifts to accommodate the flow of people
Evaluate the floor layout - buildings with multiple w...
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 applied via Company Website and was interviewed in May 2019. There were 5 interview rounds.
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 Naukri.com and was interviewed in Sep 2020. There was 1 interview round.
I am a highly motivated and detail-oriented Business Analyst with a strong background in data analysis and problem-solving.
Experienced in conducting market research and competitor analysis
Proficient in using various data analysis tools such as Excel, SQL, and Tableau
Skilled in identifying business needs and translating them into functional requirements
Excellent communication and presentation skills
Ability to work colla...
I want to work here because of the company's reputation, growth opportunities, and alignment with my skills and interests.
I am impressed by the company's reputation in the industry.
I see great potential for growth and advancement within the company.
The company's values and mission align with my own.
I believe my skills and experience would be a valuable asset to the company.
I am excited about the opportunity to contribu...
I have a unique combination of technical skills and business acumen, allowing me to bridge the gap between IT and business stakeholders.
I have a strong background in both technology and business domains.
I can effectively communicate with both technical and non-technical stakeholders.
I have a track record of successfully translating business requirements into technical solutions.
I possess a deep understanding of various...
The company is a leading technology firm specializing in software development and consulting services.
The company was founded in 2005 and has since grown to have a global presence.
They offer a wide range of services including business analysis, software development, and project management.
Some of their notable clients include Fortune 500 companies in various industries.
They have a strong focus on innovation and staying...
My key professional strengths include analytical thinking, problem-solving, and effective communication.
Analytical thinking: I have a strong ability to analyze complex business problems and identify key insights.
Problem-solving: I am skilled at finding creative solutions to challenges and implementing them effectively.
Effective communication: I can communicate complex ideas and findings clearly and concisely to stakeho...
My biggest weaknesses include perfectionism, overthinking, and public speaking anxiety.
Perfectionism: I tend to spend too much time on tasks to ensure they are flawless.
Overthinking: I sometimes overanalyze situations, which can lead to indecisiveness.
Public speaking anxiety: I get nervous when presenting in front of large audiences.
I applied via Campus Placement and was interviewed in Mar 2021. There was 1 interview round.
I applied via Referral and was interviewed before Nov 2020. There was 1 interview round.
I applied via Company Website and was interviewed in Dec 2023. There was 1 interview round.
I appeared for an interview in Oct 2023.
Python, SQL, Quant, Statistics, Numpy
based on 1 interview
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