https://github.com/symfa-inc/upwork-insights

A data science and machine learning project focused on analyzing patterns in the freelance market. This repository contains code for segmenting clients and freelancers, predicting engagement success, and estimating project budget variance. The goal is to uncover actionable insights and optimize strategies for talent and project management.
https://github.com/symfa-inc/upwork-insights

clustering deep-learning machine-learning market-segmentation unsupervised-learning

Last synced: about 1 month ago
JSON representation

A data science and machine learning project focused on analyzing patterns in the freelance market. This repository contains code for segmenting clients and freelancers, predicting engagement success, and estimating project budget variance. The goal is to uncover actionable insights and optimize strategies for talent and project management.

• Host: GitHub
• URL: https://github.com/symfa-inc/upwork-insights
• Owner: Symfa-Inc
• License: mit
• Created: 2024-11-06T14:14:02.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-12-24T14:41:34.000Z (about 2 months ago)
• Last Synced: 2024-12-24T15:42:31.215Z (about 2 months ago)
• Topics: clustering, deep-learning, machine-learning, market-segmentation, unsupervised-learning
• Language: Python
• Homepage:
• Size: 2.99 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
[![DOI](http://img.shields.io/badge/DOI-TO.ADD.DATASET-blue)](https://TO.BE.UPDATED.SOON)

[![DOI](http://img.shields.io/badge/DOI-TO.ADD.MODELS-blue)](https://TO.BE.UPDATED.SOON)

[![DOI](http://img.shields.io/badge/DOI-TO.ADD.PAPER-B31B1B)](https://TO.BE.UPDATED.SOON)

# Insights in the Freelance Market

A data science and machine learning project focused on analyzing patterns in the freelance market. This repository contains code for segmenting clients and freelancers, predicting engagement success, and estimating project budget variance. The goal is to uncover actionable insights and optimize strategies for talent and project management.



## 📖 Contents

- [Introduction](#introduction)

- [Data](#data)

- [Methods](#methods)

- [Results](#results)

- [Conclusion](#conclusion)

- [Requirements](#requirements)

- [Installation](#installation)

- [How to Run](#how-to-run)

- [Data Access](#data-access)

- [How to Cite](#how-to-cite)



## 🎯 Introduction - TO BE UPDATED SOON



## 📁 Data - TO BE UPDATED SOON



## 🔬 Methods - TO BE UPDATED SOON



## 📈 Results - TO BE UPDATED SOON



## 🏁 Conclusion - TO BE UPDATED SOON



## 💻 Requirements

- Operating System

  - [x] macOS

  - [x] Linux

  - [x] Windows (limited testing carried out)

- Python 3.12.x

- Required core libraries: [environment.yaml](environment.yaml)



## ⚙ Installation

**Step 1: Install Miniconda**

Installation guide: https://docs.conda.io/projects/miniconda/en/latest/index.html#quick-command-line-install

**Step 2: Clone the repository and change the current working directory**

``` bash

git clone https://github.com/Symfa-Inc/upwork-insights.git

cd upwork-insights

```

**Step 3: Set up an environment and install the necessary packages**

``` bash

chmod +x make_env.sh

./make_env.sh

```



## 🚀 How to Run - TO BE UPDATED SOON



## 🔐 Data Access - TO BE UPDATED SOON

All essential components of the project, including the curated dataset and trained models, have been made publicly available:

- **Dataset:** [https://zenodo.org](https://zenodo.org)

- **Models:** [https://zenodo.org](https://zenodo.org)



## 🖊️ How to Cite - TO BE UPDATED SOON

Please cite [our paper](https://TO.BE.UPDATED.SOON) if you found our data, methods, or results helpful for your research:

> Danilov V., Vinogradov M., Pudlik D., Galuza S. (**2025**). _PAPER TITLE_. **Journal Title**. DOI: [TO.BE.UPDATED.SOON](TO.BE.UPDATED.SOON)