Technical Interview

Welcome to our technical interview assessment! This repository contains a series of questions designed to evaluate your Python programming skills and data analysis capabilities.

Setup Instructions

1. Clone this repository
2. Create a virtual environment:

     # you can use any virtual environment manager you want, but we recommend using conda
   conda create -n technical-interview python=3.11
   conda activate technical-interview

3. Install required packages:

   pip install -r requirements.txt

Interview Structure

The interview consists of 4 questions, focusing on:

1. Data Cleaning and Basic Analysis
2. Data Manipulation and Aggregation
3. Data Visualization
4. Advanced Analytics and Machine Learning

For Junior Role Candidates

• Complete questions 1-3
• Question 4 is optional/bonus

For Data Scientist Role Candidates

• Complete all questions 1-4

Questions Overview

Question 1: Data Cleaning and Basic Analysis

Work with sales data to demonstrate your ability to handle missing values and perform basic statistical analysis.

Question 2: Data Manipulation and Aggregation

Show your skills in transforming and aggregating data to derive meaningful insights.

Question 3: Data Visualization

Create informative visualizations to communicate data insights effectively.

Question 4: Advanced Analytics (Required for Data Scientists, Bonus for Juniors)

Apply advanced statistical methods and machine learning techniques to solve a complex business problem.

Submission Guidelines

1. Create a new branch with your name: firstname-lastname
2. Complete the questions in their respective Python files
3. Commit your changes and push to your branch
4. Create a pull request with your solutions

Evaluation Criteria

• Code quality and organization
• Problem-solving approach
• Documentation and comments
• Accuracy of results
• Efficiency of solutions
• Proper use of Git

Time Limit

• 24 hours from the time you get the email from the recruiter.

Good luck!