Current position (since January 2023)
Head of Data @ MessageBird.com
Area: SaaS | CPaaS | telecommunications
Company: MessageBird's mission is to create a world where communicating with a business is as easy as talking with a friend. It powers communication between businesses and their customers — across any channel, always with the right context, and on every corner of the planet.
Previous roles (2010 - 2022)
Data Analytics Manager (Product) @ Bitpanda.com (Jan 2022 - Jan 2023)
Area: crypto | fintech
Company: Bitpanda GmbH is an Austrian company headquartered in Vienna. Bitpanda's mobile app provides access to its trading platform, which provides a cryptocurrency exchange, commodities and securities trading, and ETFs.
My role: Kick-off data analytics function from scratch, from hiring to definition of Product Analyst role / Rollout of first company’s A/B tests, with impact throughout the whole customer funnel / Definition of Product’s metrics framework, customer segmentation, characterisation of ideal customer profile
Data Science and Analytics Manager @ Typeform.com (Jan 2021 - Dec 2021)
Area: SaaS | marketing
Company: Typeform is a Spanish online software as a service company that specializes in online form building and online surveys. Its main software creates dynamic forms based on user needs. Typeform's software has been used by Apple Inc., Airbnb, Uber and Nike, Inc. Typeform produces millions of forms every month.
My role: Manage a team of data scientists focused on product analytics and prototyping of ML-driven features / Coordinate data strategy and objectives of multiple product and customer success squads and tribes / Liaise with product stakeholders in setting measurable goals aligned with company’s north star.
Data Science Tech Lead @ Typeform.com (Nov 2019 - Dec 2020)
Area: SaaS | marketing
My role: Technical leadership across charters of data scientists; facilitating cross-functional collaboration among data scientists, data engineers and ML-specialists; definition/propagation of quality standards, best practises, tools, methodologies; technical reviews; coordination of development of internal analytics tools and libraries / Hands-on work in strategic and multi-disciplinary projects aimed at informing upper management’s decisions
Data Lead @ Zeelo.co (Feb 2018 - Oct 2019)
Area: SaaS | transportation
Company: Zeelo is the smart bus platform for organizations, providing flexible turn-key and plug-in transportation programs for commuting and school runs. It uses data to identify, build and improve fixed bus routes and shuttles to maximise ridership.
My role: Establishing and leading rollout of company-wide data activities end to end (platforms, analytics, machine learning) / Development of internal smart/ML-driven products for prediction of human mobility through heterogeneous sources / Business Intelligence: producing actionable insights for business development, operations, marking; design of business logic for ETL processes and Data Warehouse architecture
Senior Data Scientist @ Eurecat.org (Jan 2016 - Feb 2018)
Area: research | r&d | consultancy
Company: Eurecat is the technology centre in Catalonia. It serves the industrial and business sectors with differentiating technology and advanced expertise, ofering solutions to their innovation needs and boosting their competiveness in a fast-paced environment.
My role: Technical leadership in applied R&D projects in the fields of Intelligent Transport Systems, Smart Cities, IoT / Business Intelligence, Big Data Platforms, Data Quality Assessment, data consultancy to SMEs and startups
R&D Engineer (Data Mining) @ Telecommunications Research Center of Vienna (Mar 2010 - Dec 2015)
Area: research | r&d | telecommunications
Company: The Telecommunications Research Center Vienna (FTW) is the joint research centre of leading players in telecom business and science in Austria, including major telecom equipment manufacturers, network operators, and the Universities of Technology in Vienna and Graz.
My role: Commercial R&D projects in the field of network data monitoring and analytics in collaboration with major ISPs / Machine Learning and Data Mining techniques applied to massive network datasets: exploratory analysis of network data, human mobility characterisation, user profiling, detection and classification of network anomalies