Skip to content
View FRA-0023's full-sized avatar

Highlights

  • Pro

Block or report FRA-0023

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
FRA-0023/README.md

Hello there! 👋

Translating market dynamics into decision models and deployable code.

⛏️ Mining data for hidden patterns.
🧠 Connecting economic theory with technical execution.
🚀 Building robust, antifragile strategies.

I'm a Data Strategist and Data Science Master's student. I try to understand where the world is going before the market catches on. No crystal balls—just well-founded hypotheses, a few terabytes of reality, and the right Python and automation pipelines to stay ahead.

🏗️ Background & Focus

  • 🎓 Graduated in Economics and Digital Firm. My thesis, "The Economics of Antifragility – Navigating the High-Tech Market Paradox in the Age of AI", isn't meant to stay on a shelf. It serves as my base framework for building resilient antifragile architectures and startup ideations.
  • 💻 What I'm building: I focus on causal inference, edge-AI applications, and containerized automation. I spend my time bridging the gap between complex statistical models and high-impact business positioning.
  • 🎯 The Goal: To unite the engineering of value creation with strategic communication. Giving concrete, programmatic form to what otherwise seems merely complex.

Python R HTML5 Excel SQL
Machine Learning Causal Inference Docker
Obsidian Notion Ollama

⚡ Featured Systems & Core Engines

  • Economic Structural Resilience in OECD Countries
    Macroeconomic shock resilience evaluated via Partial Order Theory (POSet) and discrete math—eliminating arbitrary index weighting.

  • Applied Causal Inference
    Applied causal inference framework across DAGs, d-separation, Meta-Learners (S/T/X), and real-world counterfactual evaluation.

  • The Architecture of Opportunity
    Deterministic 3-tier data engineering pipeline for creator economy ideation, fusing search intent with verified market supply.

  • European Trade Transformation
    11-year empirical analysis of Eurostat microdata, exposing the structural shift toward ICT and digital services exports.

  • PHD Prof
    Crash-only document ETL pipeline with SHA-256 cryptographic state tracking and zero-token-waste Notion integration.

  • Titanic Survival Econometric EDA
    Econometric deconstruction of disaster survival dynamics, isolating confounding variables, physical deck geography, and non-linear interactions.


💬 If you also think that "soft skills" is too weak a name for such crucial skills, perhaps we have a conversation to have.

Feel free to reach out!

LinkedIn

Pinned Loading

  1. Economic_Structural_Resilience_in_OECD_Countries Economic_Structural_Resilience_in_OECD_Countries Public

    Macroeconomic resilience modeling across systemic shocks (2008 & COVID-19) via Partial Order Theory (POSet). Eliminates arbitrary composite weights with pure discrete math.

    Jupyter Notebook 1

  2. L_economia_dell_Antifragilita L_economia_dell_Antifragilita Public

    Empirical econometric study on 2025 Tech salary dynamics and AI disruption. Mathematical modeling of career antifragility to thrive amid high-tech labor market volatility.

    R

  3. PHD_Prof PHD_Prof Public

    Resilient, crash-only ETL pipeline for academic research. Transforms raw PDFs into structured Notion knowledge via LLM with SHA-256 hashing—zero duplicates, zero wasted tokens.

    Python

  4. European_Trade_Transformation European_Trade_Transformation Public

    The silent transformation of EU trade (2013–2024): 11 years of Eurostat data in R, Tableau, and Power BI exposing the structural shift toward ICT, tech, and intangible export services.

  5. The-Architecture-of-Opportunity The-Architecture-of-Opportunity Public

    Data engineering for the creator economy: a three-tier local architecture fusing search intent (Demand) with validated supply metrics to ground generative AI in statistical proof.

    Jupyter Notebook

  6. Applied-Causal-Inference Applied-Causal-Inference Public

    Applied Causal Inference framework: DAGs, d-separation, Structural Causal Models, and Meta-Learners (S/T/X) to isolate true policy treatment effects beyond passive correlation.

    Jupyter Notebook