First Solar Data Science Intern Interview Questions and Answers

Q1. How well do you know excel?
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Q1. Resume based questions
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Q2. General discussion about work
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Q1. Do you know about Vendor reconciliation
Ans. 
Vendor reconciliation is the process of ensuring that records between a company and its vendors match.
• Involves comparing internal records with vendor statements.

• Helps identify discrepancies such as missing invoices or incorrect amounts.

• Example: A company finds a $500 invoice recorded differently by the vendor.

• Regular reconciliation can prevent payment errors and maintain good vendor relationships.

• Typically done monthly
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Q1. BASIC SQL QUESTIONS
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Q2. INTERNET COURSES WILL WORK
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Q1. 1.Intoduction 2. QUALIFICATION
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Q2. 2.last working experience and abality to do work or not
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Q1. What is a logistic regression model?
Ans. 
Logistic regression is a statistical model used to predict the probability of a binary outcome based on one or more predictor variables.
• Logistic regression is used when the dependent variable is binary (0/1, True/False, Yes/No, etc.)

• It estimates the probability that a given input belongs to a particular category.

• The model calculates the odds of the event happening.

• It uses a logistic function to map the input values to ...read more
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Q2. Explain the random forest model.
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Random forest is an ensemble learning method that builds multiple decision trees and merges them to improve accuracy and prevent overfitting.
• Random forest is a type of ensemble learning method.

• It builds multiple decision trees during training.

• Each tree is built using a subset of the training data and a random subset of features.

• The final prediction is made by averaging the predictions of all the individual trees.

• Random...read more
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Q3. Explain decision trees
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Decision trees are a popular machine learning algorithm used for classification and regression tasks.
• Decision trees are a flowchart-like structure where each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome.

• They are easy to interpret and visualize, making them popular for exploratory data analysis.

• Decision trees can handle both numerical ...read more
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Q1. How do you see yourself in next 5 years?
Ans. 
In the next 5 years, I see myself growing into a senior data scientist role, leading projects and mentoring junior team members.
• Continuing to enhance my skills in data analysis, machine learning, and programming languages such as Python and R

• Taking on more responsibilities in project management and client interactions

• Working towards becoming a subject matter expert in a specific industry or domain

• Mentoring and guiding ...read more
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Q2. What are you 5 years back.what is the difference?
Ans. 
I was a student pursuing my undergraduate degree in Computer Science.
• 5 years back, I was studying Computer Science in college.

• Now, I have completed my degree and gained experience in data science through internships and projects.

• I have developed strong analytical and programming skills over the past 5 years.

• I have also learned new technologies and tools in the field of data science.

• I have a better understanding of real
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SQL query optimisation

Q1. Regular discussion, about job role, why swiggy
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Q1. Why do you want to join BB?
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Q2. A guesstimate about number of coffee shops in a city
Ans. 
It would depend on the size and population of the city, but typically there are around 1-2 coffee shops per 10,000 residents.
• Consider the population size of the city - larger cities tend to have more coffee shops

• Look at the density of commercial areas - more coffee shops are likely in busy downtown areas

• Check for any popular coffee chains that may have multiple locations in the city
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Q1. About previous experience situation based questions excel problem solving
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Q2. Tell me about yourself difference between data quality and data validity
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