Contributed to the d2cml-ai/CausalAI-Course repository by developing two comprehensive markdown-based research reports, enhancing the course’s resources for self-guided study. Focused on research analysis and technical writing, the work involved synthesizing complex methodologies from papers on Airbnb price prediction and Double/Debiased Machine Learning, with attention to strengths, weaknesses, and computational considerations. Leveraged Markdown for clear documentation and established a consistent pattern for research summaries, supporting asynchronous learning. No bug fixes were required, as the emphasis remained on content creation and documentation discipline. Demonstrated strong skills in research synthesis, technical writing, and collaborative workflows using Git for version control.