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Porter Data Analytics Intern Interview Questions and Answers
Porter Data Analytics Intern Interview Experiences
1 interview found
Anonymous
I applied via Campus Placement and was interviewed in Aug 2023. There were 3 interview rounds.
A dataset of warehouse and retail sales was shared and they asked to plot bar graph yearly sales, top 5 supplier, top selling products ,analysing trends in sales . most of the problem solved by using groupby function.
(1 Question)
- Q1. Interview was resume based about project and intern . a lot of question about company itself like which type of challenges companies like porter are facing in these days . top 3 competetor of porter, how c...
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Interview questions from similar companies
I applied via Referral and was interviewed before Sep 2023. There were 3 interview rounds.
Quant, LR, puzzles, cat based level 2 questions
(2 Questions)
- Q1. Difference between tuple nd list
- Ans.
Tuple is immutable and ordered, while list is mutable and ordered in Python.
Tuple is created using parentheses () while list is created using square brackets []
Tuple elements cannot be changed once assigned, while list elements can be modified
Tuple is faster than list for iteration and accessing elements
Example: tuple = (1, 2, 3) and list = [1, 2, 3]
- Q2. How will you cut a cake into 8 equal pieces by 3 cuts
(2 Questions)
- Q1. Walk me through ur cv
- Ans.
I have a strong background in data analysis with experience in various industries.
Bachelor's degree in Statistics with a focus on data analysis
Proficient in SQL, Python, and data visualization tools like Tableau
Experience working with large datasets and conducting statistical analysis
Completed internships at XYZ Company and ABC Organization
Presented findings at industry conferences
- Q2. What have learnt from this experience?
- Ans.
I have learned to effectively analyze and interpret data to derive meaningful insights and make informed decisions.
Developed strong analytical skills through hands-on experience with various data analysis tools and techniques
Improved ability to identify trends, patterns, and outliers in data sets
Enhanced communication skills by presenting findings and recommendations to stakeholders
Learned to collaborate with team memb
Interview Preparation Tips
Skills evaluated in this interview
Selected
I applied via LinkedIn and was interviewed in Apr 2024. There was 1 interview round.
(2 Questions)
- Q1. SQL base Question
- Q2. About your projects
Snigdha Dhupal
I applied via Job Portal
SQL and Python data analysis questions
(1 Question)
- Q1. How do you match the data in different columns.
- Ans.
Matching data in different columns involves comparing the values in the columns and identifying similarities or patterns.
Use string matching techniques like exact match, partial match, or fuzzy matching.
Apply data cleaning and preprocessing techniques to standardize the data before matching.
Utilize advanced algorithms like Levenshtein distance or Jaccard similarity for more complex matching.
Consider using database join...
Interview Questionnaire
2 Questions
- Q1. Explain Normal distribution
- Ans.
Normal distribution is a probability distribution that is symmetric and bell-shaped.
It is also known as Gaussian distribution.
It is characterized by mean and standard deviation.
Many natural phenomena follow normal distribution, such as height and weight of individuals.
68% of the data falls within one standard deviation of the mean, 95% within two standard deviations, and 99.7% within three standard deviations.
It is wid...
- Q2. Types of jobs in sql
- Ans.
SQL jobs include database administrator, data analyst, data scientist, business intelligence analyst, and software developer.
Database Administrator
Data Analyst
Data Scientist
Business Intelligence Analyst
Software Developer
Interview Preparation Tips
Skills evaluated in this interview
I applied via Naukri.com and was interviewed in Apr 2024. There was 1 interview round.
Test was based on SQL, coding and MCQ. Coding involved nested query.
vinay kalikota
There are 2 coding challenges and 7 objective questions
(1 Question)
- Q1. Technical questions related to role
Selected
I applied via Referral and was interviewed in Mar 2023. There were 2 interview rounds.
(2 Questions)
- Q1. What’s your previous experience
- Ans.
I have 3 years of experience as a data analyst in the finance industry.
Worked with large datasets to extract meaningful insights
Performed data cleaning, transformation, and visualization
Created and maintained dashboards and reports for stakeholders
Conducted statistical analysis and built predictive models
Collaborated with cross-functional teams to identify business opportunities
- Q2. What’s your skills for the current role
- Ans.
I have strong skills in data analysis, including proficiency in statistical analysis, data visualization, and programming languages such as Python and SQL.
Proficient in statistical analysis techniques
Skilled in data visualization using tools like Tableau
Strong programming skills in Python and SQL
Experience with data cleaning and preprocessing
Ability to interpret and communicate insights from data
Familiarity with machin...
Interview Preparation Tips
- SQL
- Python
Gautham Reddy
(2 Questions)
- Q1. Interviewer asked me basic SQL questions
- Q2. In the second technical round he asked me advanced SQL topics (Windows Functions, Joins & Subqueries)
In the second technical round interview asked me about advanced sql topics, theory questions and two coding questions in joins and window functions.
I applied via Job Portal and was interviewed in Oct 2024. There was 1 interview round.
(1 Question)
- Q1. SQL query use join
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Porter Data Analytics Intern Interview Process
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