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Ola Cabs

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D M Industries Interview Questions and Answers

Updated 5 Feb 2024
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Q1. Case study- Ola has completed 2 years of operations at Jaipur without any competition. Suddenly Uber comes in Jaipur with ride charges 20% lower than Ola and driver incentives 20% more than that of Ola. What sh...

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Ans.

Ola should analyze the situation and take strategic actions to maintain its market share and competitive advantage.

  • Conduct a thorough analysis of the market, including customer preferences, demand, and competitor strategies.

  • Identify Ola's unique selling points and strengths compared to Uber.

  • Consider adjusting pricing strategies to remain competitive without compromising profitability.

  • Enhance driver incentives and benefits to retain and attract drivers.

  • Invest in marketing and ...read more

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Q2. Q.1.) Which data analysis tools/software have you used before? Be thorough with at least one of R/SAS

Ans.

I have experience using both R and SAS for data analysis.

  • I have used R for statistical analysis and data visualization.

  • I have used SAS for data management and statistical modeling.

  • I am familiar with R packages such as dplyr, ggplot2, and tidyr.

  • I have used SAS procedures like PROC SQL, PROC REG, and PROC MEANS.

  • I have experience in data cleaning, data manipulation, and data exploration using both R and SAS.

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Q3. Q.4.) Case Study - 1.Aim was to maximize revenue by distributing demand between micro/mini and prime 2. Matching supply and demand during the day to increase utilization of cabs

Ans.

The aim was to maximize revenue by distributing demand between micro/mini and prime cabs and matching supply and demand during the day to increase utilization.

  • Implement dynamic pricing to incentivize customers to choose micro/mini or prime cabs based on demand and availability

  • Use data analytics to identify peak demand hours and locations to allocate more cabs accordingly

  • Offer discounts or promotions during off-peak hours to encourage customers to use the service

  • Implement a re...read more

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Q4. Q.1.)Have you dealt with large data sets in any of your projects?

Ans.

Yes

  • I have dealt with large data sets in my previous projects.

  • In my internship, I worked on analyzing customer data for a retail company, which involved handling large datasets.

  • I used data visualization tools like Tableau to analyze and present insights from large datasets.

  • I have experience in using SQL queries to extract and manipulate large datasets.

  • I have also worked with big data technologies like Hadoop and Spark to process and analyze large datasets.

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Q5. Case study- List out 3 parameters to judge ride quality

Ans.

Parameters to judge ride quality

  • 1. Comfort: Assess the level of comfort experienced by passengers during the ride. This includes factors such as seat cushioning, suspension system, and noise insulation.

  • 2. Smoothness: Evaluate the smoothness of the ride by considering the absence of jolts, vibrations, and sudden movements. This can be measured by analyzing vehicle dynamics and suspension performance.

  • 3. Stability: Determine the stability of the ride by assessing the vehicle's a...read more

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Q6. Do you know coding?

Ans.

Yes, I have coding knowledge.

  • I have experience in programming languages like Java, Python, and C++.

  • I have worked on projects involving web development, database management, and algorithm design.

  • I am familiar with concepts like object-oriented programming, data structures, and algorithms.

  • I have completed coding assignments and projects during my education and internships.

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Q7. - The reason for interest in analytic

Ans.

I am interested in analytics because it allows me to make data-driven decisions and solve complex problems.

  • I enjoy working with data and finding patterns and insights.

  • Analytics helps me understand customer behavior and preferences.

  • I believe analytics can drive business growth and improve efficiency.

  • I have experience using analytics tools such as Excel, Tableau, and Python.

  • Analytics can help identify areas for improvement and optimize processes.

  • I find satisfaction in using dat...read more

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