WaiDATATHON2020 Challenge 7 : Professional network for match-making
This repository has all the code and presentation for the WaiDATATHON project.
- Python 3
- Pandas
- SKlearn
- Numpy
- FastText
- Flask
- PyCharm
WIYO is a platform that matches entrepreneurs, business school alumni, professional coaches, developers, digital nomads and other groups who are interested in getting connected or discussing business opportunities in a more convenient and engaging way. They use big data tools to analyze profiles of professionals to suggest the best matches for cooperation, knowledge sharing and business networking. Our Challenge 7 team was set to solve WaiDATATHON Challenge where we obtained a dataset and a recommender system was built to match a user dataset of job profiles of professionals and international businesses to a dataset of local networks where they are traveling.
In our solution for WIYO we used content based filtering and clustering methods to provide recommendations of potential matches to a user based on selected features in order to facilitate discussions of #businesopportunities and #knowledgesharing.
We built our own dataset using Linkedin dataset from Kaggle.
File Description : This repos contains WaiDATATHON folder with required file to webApp using PyCharm.
- Dataset โ user_base.csv, feature.csv
- Model files โ location.py, skills.py, sc_role.py
- Flask application - Main.py