Agron Fazliu

Data Science Leader.

Data Product Visionary.

Information Security Manager.

DevOps Consultant.

About Me
Hello! I'm Agron.
Data Science Leader, Deputy-CISO, Seasoned DevOps Manager, GDPR-certified.
St. Gallen, Switzerland.


Why do you wake up and go to work? To me, it is not only about passion, purpose, or money - but, rather, it is about people, enablement, and joint achievements. I believe in a commitment to serve an organisation, not job description. I believe in people around that build-up on mutual ideas, rather than being the smartest in the room. When I wake up and go to work, I strive for a day of work that makes good things easy and bad things hard.

One of the key elements of my profession and role is the ability to view information, insights, and data, with very different eyes. First, through the eyes of Data Science Lead, where I work with the data in scientific, but yet creative way - by applying principles of Data Science and Machine Learning to reveal unknown insights and to create new features for customers and business. Second, through the eyes of Deputy-CISO, where the main requirement is to have the right data at the right time, at the right place, in the right form. Third, through the eyes od Data Protection where it is vital to have the data under privacy constraints that have been promised to owners and creators - especially when applying Data Science and other processing work.

In my spare time, aside from being a father, husband and son – I love reading about science. I derive immense pleasure from teaching, and learning from my daughter. The future that is in front of her is data-powered, connected, complex and much different from ours. The values we instill in our offsprings will (I hope) help them navigate the complex world of the future.

Connect with Agron Fazliu Access CV of Agron Fazliu

20 years work experience
International experience
Diverse industries
Customer focused
Servant leader
Team enabler
Learning agility
People mentor
Resume
Latest three work achievements
Various leadership roles

2013 - Present
Haufe-umantis AG.
St. Gallen, Switzerland.


1.
"This product turned science from abstract theory into useful metrics!"
Organigrams are démodé. Looking at an organigram, we are mentally programmed to you see hierarchy and power layers. What we might not see is the fact that an organigram is just an instance of a network, from graph theory. Utilising science theory and domain knowledge of HR talent management, I lead the product ideation and software cloud implementation to come up with a viable solution. I developed 10 metrics that come from Graph Theory algorithms and applied them into the HR domain. They range from Internal Succession Planning (from Facebook’s social dispersion algorithm) to identifying Leadership Peer Communication (from communicability algorithm). This product turned science from abstract theory into useful metrics.

2.
"They are happy!"
We provide Talent and Organization Management SaaS to many hundreds of businesses globally, many well-known names from various industries such as clothes, automotive, machinery, precision, financial, etc. Data about people is sensitive data, think of GDPR, especially employee data. Adhering to highest security standards and regulations must be a given. I am at the forefront of these endeavors and in close cooperation with our customers. They are happy.

3.
"Perfect for HR Executives who need to have reliable answers quickly!"
Having a lot of data that is buried under a decade-old legacy system does not make much of useful insights. Finding a way to make sense of this data, stored in EAV model, was not about usual suspects of data cubes, queries, or exports. I pioneered an approach and managed the successful implementation through using Machine Learning, Natural Language Understanding, and Named-Entity Recognition, while also utilizing legacy business logic and system configurability. In the end, we have Google-like natural multilanguage search abilities that produce metrics, raw data, and customer-crowdsourced results. In comparison, it renders the usual SQL useless and it makes Business Analytics clumsy, while it provides utilizable metrics on a search of a sentence. Perfect for HR Executives who need to have reliable answers quickly.

Education
University College London (UCL)
2003-2005 | London, UK.

M.Sc. in Data Communication Networks and Distributed Systems

Award: NOMINUM Prize 2004

Project: LINX Network Monitoring
American University in Bulgaria (AUBG)
2000-2003 | Blagoevgrad, Bulgaria.

B.A. in Computer Science


Professional Skills
  • Information Security
  • Data Science & Data-driven Innovation
  • SaaS Operations
  • Systems Architecture
  • Scrum Methodology
Latest Certifications
EU General Data Protection Regulation Foundation (GDPR F)
December, 2018 |St. Gallen, Switzerland.

Data Science and Data Engineering Bootcamp
February, 2017 |Amsterdam, Netherlands.


Most popular publication
Internet Penetration and Usage in Kosovo, 2nd Ed.
August, 2013. | STIKK.

Portfolio
Machine Learning at Haufe (2019)
Talks (Freiburg, Germany.)
Kosovo gets an IXP (2011)
Talks (Dubrovnik, Croatia)
IT Operations - Queue Approach (2013)
Talks (St. Gallen, Switzerland)
DevOps Transformation - Another view! (2016)
Talks (St. Gallen, Switzerland)