Co-Owner at Football Business Inside | Founder at The Football Brain & Brandweb | Head of Software Development

Iaşi, România
2 K urmăritori Peste 500 de contacte

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Despre

The transition from full-stack developer to startup founder in AI (The Football Brain) was possible due to the last 15+ years I invested in Brandweb, the web development company I co-founded in 2005 with my partner in business and life @Patricia Bertea.

Building a great tech team at Brandweb has been my personal goal and together with my colleagues we've helped over the years companies from USA, Netherlands and Romania have their own digital products - custom web and mobile apps, as well as e-commerce projects in Shopify and Magento.

All the experience I gathered working in very diverse software development projects, has helped me launch The Football Brain, which connects 2 of my passions: football and technology. The Football Brain is a spin-out of Brandweb and we are currently looking for investors.

Meanwhile, at Brandweb, me and my team deliver software projects to companies and startups interested in using technology to create a significant advantage on the market.

Activitate

2 K urmăritori

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Experiență

  • Co-Owner

    FBIN

    - Prezent 2 ani

    Austria

    FBIN is a global platform focusing on non-sports topics in the football industry.
    We support football clubs on their path to progress in all areas and with all issues.
    FBIN is the central hub where football organisations can find expertise, inspiration and dedicated personal support through our individual services.

  • Founder & Head of Software Development

    The Football Brain

    - Prezent 6 ani 5 luni

    The Football Brain is a central information system for football clubs.
    It aggregates the huge amounts of descentralized data generated by each department (Financial, Marketing, Medical, Scouting, Youth Academy) and improves decision making using the power of data and AI. Designed to meet the complex needs of football clubs, TFB has been developed in a system of modules that either collect data or provide data through partners such as InStat. The modules cover departments such as financial…

    The Football Brain is a central information system for football clubs.
    It aggregates the huge amounts of descentralized data generated by each department (Financial, Marketing, Medical, Scouting, Youth Academy) and improves decision making using the power of data and AI. Designed to meet the complex needs of football clubs, TFB has been developed in a system of modules that either collect data or provide data through partners such as InStat. The modules cover departments such as financial, technical, sports, medical, fan engagement, or the one dedicated especially to academies.

  • Business Computer Science Associate Professor

    Universitatea „Alexandru Ioan Cuza” din Iași

    - Prezent 10 ani

    Iasi

  • Head of Software Development & Managing Partner

    Brandweb Ltd

    - Prezent 21 ani 1 lună

    Iaşi, România

    Brandweb engages in providing custom-made software for brands interested in creating smooth digital experiences for their customers or their employees. With a focus on web & mobile apps, #teamBrandweb has delivered projects in the last 5 years mainly to companies from USA & Netherlands, more specifically for their B2B divisions. As we always had an interest in innovation and technology, we allocated resources also into developing our own digital products such as The Football Brain (AI for…

    Brandweb engages in providing custom-made software for brands interested in creating smooth digital experiences for their customers or their employees. With a focus on web & mobile apps, #teamBrandweb has delivered projects in the last 5 years mainly to companies from USA & Netherlands, more specifically for their B2B divisions. As we always had an interest in innovation and technology, we allocated resources also into developing our own digital products such as The Football Brain (AI for football clubs), My11 (fantasy football app), Poloniq (restaurant B2B e-commerce platform). We consider ourselves to have great expertise to design, develop and deliver MVPs quicker than most clients expected and that is also due to the fact that we are a flexible and really involved team. We focus on solutions, this is why many times big part of our job is the consultancy part, choosing the right technology, setting up the methodology and processes.

  • Tech Lead & Co-Founder

    Poloniq

    - Prezent 7 ani 11 luni

    Poloniq is a software as a service (SaaS) startup dedicated to restaurant owners who want to easily manage reservations and use client data to implement loyalty campaigns. Poloniq had a great launch, being validated in two startup competitions: Startup Spinner Makeathon by Rubik Hub 2018 and Demo Night powered by How To Web 2018.

Studii

Publicații

  • High-Level Machine Learning Framework for Sports Events Ticket Sales Prediction

    International Conference on Computer Systems and Technologies CompSysTech'21

    As all the other live events, sports were particularly affected by the covid-19 pandemic. Nevertheless, with the vaccination campaigns and the expected mass immunization chances are that the social life might soon come back to that was normal before 2020.This paper presents a high-level framework for predicting match ticket sales for a football/soccer club activating in a national championship. Written in R and available as a collection of scripts in a GitHub repository, the framework relies…

    As all the other live events, sports were particularly affected by the covid-19 pandemic. Nevertheless, with the vaccination campaigns and the expected mass immunization chances are that the social life might soon come back to that was normal before 2020.This paper presents a high-level framework for predicting match ticket sales for a football/soccer club activating in a national championship. Written in R and available as a collection of scripts in a GitHub repository, the framework relies heavily on two R ecosystems of packages for data processing and modeling, tidyverse and tidymodels. For illustration, the framework was applied on a data set provided by a struggling team in Romanian first football league. Predictors relate to expected weather conditions at the start of the game, match day of the week and the starting hour, the phase of the season, and also the team’s most recent performances relative to the current match. Despite the dataset limits, results of exploratory data analysis and predictive models are encouraging not only inestimating the match ticket sales, but also in identifying the most important variables associated with ticket sales variability.

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