Ford Motor Senior Data Science Analyst Interview Questions and Answers

Q1. Roc and auc related questions..core statistics and case studies
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Assessment for coding round

Q1. Behavioral questions and compensation negotiation
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Aptitude and coding test after resume shortlist.

1hour coding test after aptitude test

Q1. Tell me about yourself
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Q2. Tell me about your family
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Q3. What is your professional experience?
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Q1. Can you tell me about yourself?
Ans. 
I am a data analyst with a strong background in statistics and data visualization.
• Experienced in analyzing large datasets to extract valuable insights

• Proficient in statistical analysis and data visualization tools such as Python, R, and Tableau

• Strong problem-solving skills and attention to detail

• Excellent communication skills to present findings to stakeholders
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Q2. Can you provide details about your city?
Ans. 
My city is a vibrant and diverse urban center with a rich history and cultural heritage.
• Located in the northeastern region of the country

• Known for its historic landmarks such as the Old Town Square and Cathedral

• Home to a thriving arts and music scene

• Diverse population with a mix of different ethnicities and cultures
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Q1. Tell me about yourself.
Ans. 
I am a data analyst with a strong background in statistics and data visualization.
• Experienced in analyzing large datasets to extract valuable insights

• Proficient in using statistical tools such as R and Python

• Skilled in creating interactive dashboards using Tableau

• Strong communication skills to present findings to stakeholders
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Q2. What is your previous work experience?
Ans. 
I have 3 years of experience as a Data Analyst in a tech company.
• Analyzed large datasets to extract valuable insights

• Created visualizations and reports to communicate findings

• Collaborated with cross-functional teams to drive data-driven decision making
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Q1. Some computer tasks
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Q2. Reading test
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Q1. About college Project
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Q2. Sql basic questions
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About Data in SQL , syntax

The test was psychometric and aptitude. Interview was easy.

Q1. What are your views on Generative AI.
Ans. 
Generative AI is a powerful technology that can create new content based on existing data.
• Generative AI uses neural networks to generate new content such as images, text, and music.

• It has applications in various fields like art, music composition, and even creating realistic deepfake videos.

• Examples include OpenAI's GPT-3 for text generation and DeepDream for image generation.
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PYTHON,SQL,STATS,ML,DL

Q1. Strenght and weakness, long term and short term goal
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It was campus placement. We were givien the topic "future of AI and ML in automobile industry". The time given was around 15mins. The explained the process in great detail and very clearly.

Q1. CV and basic of ML
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Q2. What if questions. For eg, if you want to launch a new EV in market then what will be your approach What if you are the CEO.. ETC
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Q1. Ethical questions
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Q2. Besic HR questions like why this company
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