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✦ PIERDOMENICO FIADINO ✦
~ Ph.D. · Data Leader · Head of Data & Insights @ Moss · Internet Veteran ~
★ JAVA ENABLED ★ FRAMES SUPPORTED ★ 100% NETSCAPE COMPATIBLE ★
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⚠ UNDER CONSTRUCTION ⚠ Pardon our electrons! Last updated: March 1997 (jk — actually May 2026)
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★ About Me ★
Piero, somewhere with good internet
Hey there, and WELCOME to my home page! I'm Pierdomenico Fiadino — but my friends call me Piero. Pull up a chair, grab a Java applet, and stay awhile! :-)
I'm Senior Director, Head of Data & Insights at Moss, where I lead product analytics, commercial analytics, and analytics engineering while driving an AI-first data transformation.
16 years in R&D and SaaS — 8 of them in SaaS roles. I combine a hands-on, pragmatic approach with a research background, focused on building data products that actually drive business outcomes.
Before the industry world, I spent years in academic research — mining data from 3G/4G networks, training ML models to detect anomalies in real-time cellular traffic, and publishing at IEEE Infocom, ACM SIGCOMM, and friends. 30+ papers total.
I hold a Ph.D. from TU Wien and two degrees from Sapienza University of Rome. Grew up in Bari, moved to Rome for university, then to Vienna for my PhD and first job, and have been living in Barcelona since 2016.
Currently
Barcelona, Spain
Role
Head of Data & Insights
PhD
TU Wien, 2015
Publications
30+ papers
Online since
The 56k era
─────────────────── [ SKILL METER v2.0 ] ───────────────────
★ Expertise ★
Product & Commercial Analytics
Building analytics functions from the ground up and scaling them across product squads. Metrics frameworks, funnel analysis, A/B testing infrastructure, and customer segmentation — across Typeform, Bitpanda, Docplanner, and Moss.
Data Leadership & Team Building
Led data teams from zero-to-one (Bitpanda) to 40+ person global functions (Docplanner). Cross-functional management spanning engineers, analysts, and scientists — with a track record of hiring, structuring, and growing high-performance data orgs.
Analytics Engineering & Data Platform
End-to-end ownership of data infrastructure: ingestion pipelines, data modeling, software instrumentation, and event tracking governance. Hands-on experience at Bird, Docplanner, and Moss building the plumbing that makes analytics reliable.
Data Governance & Strategy
Establishing data governance frameworks, quality standards, and company-wide data practices in fast-moving SaaS environments. At Docplanner, led a full revamp of software instrumentation governance across a global platform.
Business Intelligence & Executive Reporting
Translating complex data into clear narratives for senior leadership. Weekly business reviews, C-suite dashboards, and board-level reporting — making data the common language for strategic decisions at Bird, Docplanner, and Moss.
AI-First Data Transformation
Currently driving an AI-first transformation of the data function at Moss. Applying a research background in ML — built over years of academic work — to modern SaaS contexts: smarter pipelines, augmented analytics, and AI-assisted decision-making.
★ Work Experience ★
[Click a job for details — just kidding, this is 1997, not a React SPA]
Feb 2026 — Present
Senior Director, Head of Data & Insights
Moss
Leading the data function covering product analytics, commercial
analytics, and analytics engineering. Driving an AI-first data transformation and
partnering strategically with leadership to make data a core business driver.
Mar 2024 — Feb 2026
Global VP of Data
Docplanner.com — World's Largest Healthcare Platform
Led the Global Data function across ~40 professionals, overseeing
data platform, BI, and product analytics. Managed data infrastructure serving internal
consumers and external customers. Drove governance initiatives and delivered analytics
solutions for senior leadership.
Jan 2023 — Feb 2024
Head of Data
Bird.com (formerly MessageBird)
Managed a cross-functional data team of engineers, analysts, and
scientists. Directed software instrumentation, data ingestion pipelines, data modeling,
and C-suite reporting.
Jan 2022 — Dec 2022
Data Analytics Manager (Product)
Bitpanda.com — Vienna, Austria
Established the product analytics function from scratch through
hiring. Implemented an A/B testing framework and developed product metrics and customer
segmentation strategies.
Jan 2021 — Dec 2021
Data Science and Analytics Manager
Typeform.com
Managed the product analytics team and coordinated data strategy
across multiple product squads, focusing on measurable goals aligned with company
objectives.
Nov 2019 — Dec 2020
Data Science Tech Lead
Typeform.com
Provided technical leadership across data science teams, established
quality standards and best practices, and coordinated internal tool development.
Feb 2018 — Oct 2019
Data Lead
Zeelo.co
Established company-wide data activities including platforms and
machine learning. Developed mobility prediction products and business intelligence for
operations and marketing.
Jan 2016 — Feb 2018
Senior Data Scientist
Eurecat.org — Barcelona, Spain
Led applied R&D projects in intelligent transport systems and
smart cities. Provided data consultancy to SMEs and startups.
Mar 2010 — Dec 2015
R&D Engineer — Data Mining
FTW — Telecommunications Research Center Vienna
Conducted commercial R&D in network monitoring and analytics,
applying machine learning to large-scale telecom datasets. Led to PhD research at TU
Wien and 30+ publications.
[ Full career timeline on
LinkedIn ]
★ Education ★
| Year | Degree | Institution | Topic & Advisors |
|---|---|---|---|
| 2015 | PhD Electrical Eng. & IT |
TU Wien Vienna, Austria |
Data analytics in computer networks; ML systems for anomaly detection & diagnosis Dr Pedro Casas · Prof Tanja Zseby |
| 2010 | MSc Computer Engineering |
Sapienza Univ. of Rome Rome, Italy |
Mobility pattern extraction from mobile networks using data mining Dr Danilo Valerio · Dr Fabio Ricciato · Prof Francesca Cuomo |
| 2008 | BSc Computer Engineering |
Sapienza Univ. of Rome Rome, Italy |
Java application for peer-to-peer file sharing (Napster was already dead. Filed a bug report with history.) |
★ Research Areas ★
My academic career covered the following dark arts of computer science:
| Area | What it actually means |
|---|---|
| Network Traffic Classification | Teaching machines to recognise which app is sending which data on a mobile network — without opening the packets. Like guessing what's in a box by shaking it, but with neural networks. |
| Anomaly Detection in Cellular Networks | Finding the "something is off today" signal in live mobile networks before users start complaining. ML + statistics + industrial-grade coffee. |
| QoE Analysis (YouTube, WhatsApp, CDNs) | Measuring whether video was actually loading well or just spinning a buffering wheel. Turns out there's a lot to say about this. Multiple IEEE papers worth of things. |
| Mobile Mobility Patterns | Can you tell where people are going from cell-tower handovers alone? Yes. It's fascinating. Also slightly sci-fi. See: the MSc thesis. |
| Big Data in Mobile Networks | Real-time processing of millions of network events per second — before "Big Data" became a LinkedIn buzzword. We called it "Tuesday". |
★ Publications ★
30+ papers published in major international venues. Full list on ResearchGate. Here are the greatest hits:
★ Journal Papers & Book Chapters
Big Data in Mobile Networks
P. Fiadino, M. Torrent-Moreno
Encyclopedia of Big Data Technologies, Springer — 2018
Grasping Popular Applications in Cellular Networks with Big Data Analytics Platforms
P. Fiadino, P. Casas, A. D'Alconzo, M. Schiavone, A. Bär
IEEE Transactions on Network and Service Management (TNSM) — 2016
★ Conference Highlights
Call Detail Records for Human Mobility Studies: Taking Stock of the Situation in the Always Connected Era
P. Fiadino, V. Ponce-Lopez, J.A. Torrero-Gonzalez, M. Torrent-Moreno, A. D'Alconzo
ACM SIGCOMM 2017 Workshop, Los Angeles
Challenging Entropy-based Anomaly Detection and Diagnosis in Cellular Networks
P. Fiadino, A. D'Alconzo, M. Schiavone, P. Casas
ACM SIGCOMM 2015, London
🥈 Runner Up
Online Social Networks Anatomy: on the Analysis of Facebook and WhatsApp in Cellular Networks
P. Fiadino, P. Casas, M. Schiavone, A. D'Alconzo
IFIP Networking 2015, Toulouse
Vivisecting WhatsApp through Large-Scale Measurements in Mobile Networks
P. Fiadino, M. Schiavone, P. Casas
ACM SIGCOMM 2014, Chicago
On the Detection of Network Traffic Anomalies in Content Delivery Network Services
P. Fiadino, A. D'Alconzo, A. Bär, P. Casas, A. Finamore
ITC 26, Karlskrona, Sweden — 2014
HTTPTag: A Flexible On-line HTTP Classification System for Operational 3G Networks
P. Fiadino, A. Bär, P. Casas
IEEE Infocom 2013, Turin
…and ~20 more. I was a very caffeinated grad student.
★ Contact Me!! ★
★ REACH ME ON THE INFORMATION SUPERHIGHWAY ★
★ Sign My Guestbook!! ★
Leave a message and I'll add it to the page! (within 6–8 weeks via dial-up)
DataNerd_98
— 14 Jan 1998
"Cool page!! I love the scrolling text!! Bookmarked!! :-)"
"Cool page!! I love the scrolling text!! Bookmarked!! :-)"
NetSurfer2000
— 3 Mar 1999
"Amazing research! Read your HTTPTag paper. Very cool. Will you add a MIDI player to the site?"
"Amazing research! Read your HTTPTag paper. Very cool. Will you add a MIDI player to the site?"
IP_Miner_Fan
— 22 Oct 2013
"Best Paper Award at ITC!!! Congrats Piero!! Greets from Shanghai 🇨🇳"
"Best Paper Award at ITC!!! Congrats Piero!! Greets from Shanghai 🇨🇳"
* (shh, it's modern)