AppInventiv Technologies Senior Data Analyst Interview Questions and Answers

Q1. On Project from resume
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Q2. GenAI basics
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Q1. RAG, LLM, Azure OpenAI
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Q2. Python questions
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Q1. Basicn details to check for qualifications
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Q1. About my projects
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Q1. More details about ML models
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3 question were asked in 90 min time

Q1. What is precison ?
Ans. 
Precision is the ratio of correctly predicted positive observations to the total predicted positive observations.
• Precision is calculated as TP / (TP + FP), where TP is true positives and FP is false positives.

• It measures the accuracy of positive predictions made by the model.

• A high precision indicates that the model is good at predicting positive cases without many false positives.

• For example, in a binary classificatio...read more
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Q2. What is large lang. model ?
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A large language model is a type of artificial intelligence model that is capable of understanding and generating human language at a large scale.
• Large language models use deep learning techniques to process and generate text.

• Examples include GPT-3 (Generative Pre-trained Transformer 3) and BERT (Bidirectional Encoder Representations from Transformers).
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Highly interactive and technical

1 hr test with focus on math and analytical thinking

Q1. Asked about projects. What is classification? Is knn used for regression?how? decision tree working for regression and classification Is naive Bayes used for regression?how? LLM Docker Aws GenAI Code for ...read more
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GD round where check your communication skills

Q1. Technical interview about python basics
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Q1. General hr round about family background
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Q1. What are your roles and responsibilities
Ans. 
As a Data Analyst, my roles and responsibilities include analyzing data, creating reports, identifying trends, and providing insights to support decision-making.
• Analyzing large datasets to extract meaningful insights

• Creating reports and visualizations to communicate findings

• Identifying trends and patterns in data

• Collaborating with stakeholders to understand business needs

• Providing recommendations based on data analysis

• ...read more
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Q2. Where do you see yourself in next 4 years.
Ans. 
In the next 4 years, I see myself advancing my skills in data analysis, taking on more responsibilities, and potentially moving into a leadership role.
• Continuing to improve my data analysis skills through training and hands-on experience

• Taking on more complex projects and responsibilities within the data analysis field

• Possibly transitioning into a leadership role where I can mentor and guide junior analysts

• Exploring op...read more
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Q1. Tell me about yourself
Ans. 
I am a data analyst with a background in statistics and programming, passionate about uncovering insights from data.
• Background in statistics and programming

• Experience in data analysis and visualization tools like Python, R, and Tableau

• Strong problem-solving skills

• Ability to communicate complex data findings to non-technical stakeholders
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Q2. How mamy year of experience do you have?
Ans. 
I have 5 years of experience working as a Data Analyst in various industries.
• 5 years of experience as a Data Analyst

• Worked in multiple industries such as finance, healthcare, and technology

• Proficient in data analysis tools and techniques

• Experience in handling large datasets and generating insights

• Strong problem-solving and communication skills
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Quants guesstimates

Pandas numpy python Java development rshiny

Leetcode easy very very easy 3 sum

Q1. Where do you see yourself in 5 years
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