Publication

Effects of Social Media on Religious Belief: Causal Machine Learning Approach (2024). Forthcoming as a book chapter in the Springer book titled "Data Science for Econometrics and Related Topics

This research investigates the causal effects of social media on religious beliefs and life motivation through advanced causal machine learning methods. Utilizing observational data from a designed online survey, the study reveals how platforms like YouTube and Facebook positively impact Buddhism belief and motivation to practice ethical principles

• Causal Inference
• Machine Learning
• Social Media Analysis
• Survey Research

Automatic Request For Proposal (RFP) Documents Consolidation and Analysis

Partnered with Kellanova to develop an NLP-based tool that automates supplier response consolidation. The tool integrates pricing data and questionnaire responses, using NLP, data aggregation and excel files manipulation techniques to extract key metrics, enhancing procurement insights and data-driven decision-making.

• NLP
• Openpyxl
• Data Consolidation
• Procurement Analysis
• Automated Reporting

Automatic Code Documentation Generator with NLP and LLM Techniques

This project focuses on building an automatic code documentation generator to create header comments for code functions, resembling Python Docstrings. Leveraging Natural Language Processing (NLP) and Large Language Models (LLMs), the project aims to enhance code summarization across multiple programming languages.

• NLP
• Machine Translation
• Multi-Agent Systems
• LLM
• Scalable Pipeline Development