Contributed two detailed research analysis reports to the d2cml-ai/CausalAI-Course repository, focusing on Airbnb price prediction using machine learning and sentiment analysis, as well as Double/Debiased Machine Learning for treatment and structural parameters. The work centered on producing user-facing Markdown documentation that summarized research questions, evaluated strengths and limitations, and outlined future research directions. Emphasizing technical writing and research analysis, the reports provided practical guidance for researchers and students, supporting onboarding and ongoing learning. The approach demonstrated proficiency in Markdown, academic research summary, and Git-based collaboration, with a focus on clarity, analytical depth, and integration into course materials.