Undergraduate in Digital Economics and Business at Università Politecnica delle Marche (curriculum delivered entirely in English) with a solid software engineering and IT foundation. I specialize in bridging quantitative financial economics, corporate finance, and modern data architectures.

• 🎓 BSc Digital Economics & Business @ UNIVPM Ancona (Expected 2027 · Instruction: 100% English)
• 💾 IT & Telecommunications Diploma @ ITI Enrico Mattei (Software Engineering, Relational DBs & Networking)
• ⚙️ Data & Quant Engineering: Developing automated ETL data pipelines, PostgreSQL warehouses, and Apache Airflow workflows
• 📊 Quantitative Modeling: Portfolio optimization (Markowitz), Monte Carlo simulations (GBM), and econometric analysis in R & Python
• 💼 Former Software & IT Engineering Intern @ Casali Computers (Enterprise ERP modules & Apache Tomcat deployment)
• 🌍 International Traineeship: Seeking Erasmus+ / international quant & data analytics traineeship opportunities for 2026/2027

Production-grade automated quantitative ETL, risk forecasting, and portfolio allocation platform

• Automated Data Ingestion: Architected streaming pipelines using yfinance to ingest market data into PostgreSQL via idempotent UPSERT (ON CONFLICT) operations, ensuring data integrity with zero duplicates.
• Quantitative Optimization & Risk: Solved Markowitz Mean-Variance portfolio optimization via scipy.optimize to calculate Maximum Sharpe Ratio weights; developed a 10,000-path Monte Carlo Geometric Brownian Motion (GBM) engine for 95% Value-at-Risk (VaR) and drawdown forecasting.
• DevOps & Workflow Orchestration: Fully containerized with Docker Compose; scheduled sequential execution (DB Init → Ingest → Optimize → Simulate → Report) via Apache Airflow DAGs.

Python SQL PostgreSQL Apache Airflow Docker Compose Quantitative Finance Risk Management

Clinical biosignal telemetry, predictive deterioration modeling, and Health Technology Assessment (HTA) in R

• Predictive Clinical Deterioration (AUC = 0.902): Implemented predictive analytics and Kaplan-Meier survival models to anticipate clinical crises and septic shock prior to standard NEWS2 benchmarks.
• Decision Curve Analysis (DCA): Statistical evaluation to mitigate alarm fatigue across hospital departments.
• Biosignal DSP: Digital filtering of 100 Hz PPG signals and spectral FFT analysis for Heart Rate Variability (HRV) estimation.
• Markov Decision Model (HTA): 1,000 Monte Carlo iterations demonstrating continuous monitoring reduces ICU stays by 1.88 days, yielding >€4,000 cost savings per patient.

R (tidyverse, survival) Biostatistics Digital Signal Processing Health Economics (HEOR) Connected Care

Autonomous algorithmic trading framework incorporating Marcos López de Prado's Advances in Financial Machine Learning

• Fractional Differentiation: Achieved stationary time-series while preserving maximum memory (AFML Ch. 5).
• Lempel-Ziv Entropy: Non-parametric market regime classification (Trend vs. Mean Reversion).
• Multi-Horizon Trend Scoring & Risk Controls: Triple-Barrier labeling (TP 4×ATR / SL 2.5×ATR), Winsorization against tail-risk events, and microstructural spread volatility filters.

Python MetaTrader 5 NumPy SciPy Algorithmic Trading Quantitative Finance

Relational database design, financial entity modeling, and performance-tuned SQL architectures

• Engineered normalized ER schemas for financial transactions, billing systems, and enterprise accounting records.
• Authoring high-performance SQL: Window Functions, Common Table Expressions (CTEs), indexing strategies, and query execution plan optimization.

SQL PostgreSQL Database Design Relational Modeling Data Warehousing

📚 Currently Focusing On:
   ├── Corporate Finance & Financial Economics (UNIVPM)
   ├── Applied Econometrics & Statistical Computing (R / Python)
   ├── Business Information Systems & Data Mining (SQL, Data Warehouses)
   └── Planning & Control Systems (Management Accounting & KPIs)

🔜 Advanced Roadmap:
   ├── Options Pricing Models (Black-Scholes, Stochastic Volatility)
   ├── Multi-Factor Risk Pricing (Fama-French 5-Factor Model)
   └── CFA Level 1 Preparation

• 💼 LinkedIn: linkedin.com/in/haroun-jaafar
• 📧 Personal Email: harounjaafar3@gmail.com
• 🎓 University Email: haroun.jaafar@studenti.univpm.it
• 🌍 Availability: Open for international traineeships & quantitative roles (Erasmus+ Traineeship EU4EU 2026/2027)