ML Internship
Collaborated Projects
Adversarial De-biasing for Semantic Text Classification
Developed a Text Classification application where the result are fair and unbiased from gender or racial data in input text.
Technologies
Random Attack Pipeline Revamp
Debug and Upgrade the ML model evaluation and stress analysis pipeline, from the aspects of MLOps.
Technologies
Recommendation Personalized Re-ranking Application
Rank the suggestion generated by the inherent or external recommendation model.
Technologies
Recommendation Pre-model Analysis Application
Analysis compatibility and complexity of a dataset from the aspect of recommendation model training.
Technologies
RecSys Application
Application for train and evaluate recommendation engines & benchmark those models with advance fine-tuning.
Technologies
Recommendation Post-model Analysis Application
Comprehensive Drift and Fairness analysis on recommendation models.
Technologies
Alternative Credit Risk Scoring Application
Personal Credit risk scoring based on pattern recognition in Telco data.
Technologies
AI Maturity Index
Company AI use and in-house capacity analysis and ranking application based on their job description data.
Technologies
Key Achievements
- Developed a sentiment analysis model with an accuracy improvement of 15%
- Led a team of data scientists in building a recommendation system that increased user engagement by 20%
- Implemented a production-ready chatbot using state-of-the-art NLP techniques, reducing customer support response time by 30%