๐Ÿ•’ 15:10โ€“18:35
๐Ÿท๏ธ Labels: Legal, Data Analysis, Investment, Python, Linear Algebra
๐Ÿ“‚ Project: Business
โญ Priority: MEDIUM

Session Goal

The session aimed to explore various legal frameworks, real estate procedures, and data analysis methodologies, focusing on practical applications and technical execution.

Key Activities

  • Legal Framework Exploration: Reviewed the legal framework for usucapiรณn in Argentina, including relevant articles from the Civil and Commercial Code and strategies for implementation.
  • Real Estate Procedures: Outlined steps to obtain information about a parcel in CABA, detailing interactions with the Property Registry, AGIP, and the General Directorate of Cadastre and Cartography.
  • Investment Analysis: Conducted a segmentation analysis of investments, categorizing items by cost and identifying potential investment opportunities.
  • Data Manipulation and Analysis: Executed Python code for dynamic data table creation, price analysis, and DataFrame extraction, focusing on data integrity and pricing strategies.
  • Mathematical Problem Solving: Solved linear transformation problems, including matrix representation and change of basis in vector spaces.

Achievements

  • Clarified the legal process for usucapiรณn and real estate information retrieval in Argentina.
  • Developed a structured investment analysis framework.
  • Successfully implemented data manipulation techniques in Python for product attribute analysis.
  • Resolved linear algebra problems related to transformations and matrix representations.

Pending Tasks

  • Further exploration of advanced investment strategies based on the segmentation analysis.
  • Additional refinement of Python scripts for more efficient data processing and analysis.
  • Continued study of linear algebra concepts to enhance problem-solving skills.