OPERATIONS · LOGISTICS · DATA

Hi, I'm Matteo and I'm genuinely interested.

I work in operations and logistics, and I like getting into the data behind it. Whatever I'm into, I tend to follow it until I actually understand it.

LOGISTICS DATA ANALYST @ ESSILORLUXOTTICA
NOW SEDICO, IT · ––:––:––
Working on
Logistics data analytics
EssilorLuxottica · Sedico
Exploring
AI agents & onchain commerce
Virtuals Protocol · ACP
Reading
Deep Work
Cal Newport
THE PATH

Three industries. One method.

I follow questions, not job titles. Three chapters so far, same way of working in each: take the question, get the data, follow it.

01 · MARKETS, TURIN → LISBON
Trained on markets

A business degree in Turin, then an International MSc in Finance at Católica Lisbon, closed with a dissertation teaching machines to ride crypto momentum.

02 · ON-CHAIN, THE CONSTANT THREAD
Kept following the chain

From a bachelor's thesis on DeFi to liquidity forensics on live protocols, to writing about agentic commerce. Crypto is where my curiosity keeps coming back.

03 · SUPPLY CHAIN, SEDICO, TODAY
Moved to physical flows

Logistics data at EssilorLuxottica: forecasts, flows and the numbers behind millions of frames moving through a supply chain.

Matteo Mamino at the Católica Lisbon graduation ceremony, 2023
CATÓLICA LISBON · GRADUATION '23
8YEARS SINCE DIPLOMA
2DEGREES
3COUNTRIES
500+PEOPLE MET
EXPERIENCES

Some of my projects

07
CRYPTO & AI 01–03
01 Trend-Following Strategies for Cryptocurrencies with Machine Learning Can a machine learn to ride crypto momentum? → Risk-managed momentum works on crypto, and ML pushes volatility down further. MSc Dissertation PDF ↗ 02 $SAFE Token Liquidity & LP Analysis Where does a token's liquidity actually live? → Mapped liquidity across Ethereum & Gnosis and traced the bots extracting value from the pools. On-chain study PDF ↗ 03 DeFi: The Rise of a New Touchless Economy What does an economy with no intermediaries look like? → From blockchain basics to why DeFi matters for 1.8B people without banking access. BSc Thesis PDF ↗
FINANCE & RISK 04–07
04 Efficient Portfolio Composition with Python Can a few hundred lines of Python build an efficient frontier? → Crypto + ESG-screened equities, statistically filtered, optimized and backtested against the S&P 500. Course project · 2022 PDF ↗ 05 Ping An: Credit Risk Assessment & Analysis How healthy is an insurance giant, really? → Full credit workup of China's insurance pillar, from Covid-era stress to default-rate benchmarks. Credit report PDF ↗ 06 Impact of Corporate Scandals on Market Returns What does a scandal cost, in market terms? → A decade of DAX & DJI scandals, regressed: what penalty fees mean for yearly returns. Group project PDF ↗ 07 Volatility Managed Portfolios: A Performance Assessment Does managing volatility actually pay off? → Yes: positive, mostly significant alphas across factors, on 95 years of data (1926–2021). Empirical study PDF ↗
TOOLBOX

What I work with

ANALYSIS PYTHONPANDASSCIKIT-LEARNBACKTESTINGECONOMETRICS / OLS
DATA POWER BISQLPOWER QUERYDUNE / ON-CHAIN
DOMAINS SUPPLY CHAIN & LOGISTICSMARKETS & RISKDEFI & AI AGENTS
CONTACT

Got a question that involves moving things, or moving data?

Always happy to compare notes, whatever the industry.

© 2026 MATTEO MAMINO