JC Ulundo
Japanese TradeMark prediction (XWARE 2019) – AI/ML Engineer:
In this project I worked in a team with 2 other Engineers. Our task was to perform web scraping, clean and transform the data and perform text classification to predict products trademark to the Japanese TradeMark. This project was known as TM-Robo which had the main objective to suggest system user’s on existing trademarks and similarity between them. For this system my contribution was a development of machine learning models using NLP techniques such as text classification and topic modelling. I applied various algorithms such as: ● Logistic Regression; ● Random Forest; ● KNN; ● MNB; ● LSTM; Programing Languages: Python, JSON, SQLite, XML