Behavioural analysis and funnel work used to identify friction and improve a digital customer journey.
Evidence from the people, teams and problems I have worked with.
My background is broad by design: commercial growth, finance, analytics, data engineering and product work. This page brings together the recommendations, outcomes and experience behind that range.
Results from different parts of my career.
These are deliberately varied. They show the range from customer conversion to technical efficiency and management information.
A technical redesign using more efficient data-processing technologies materially reduced recurring processing cost.
Financial and operational models built to give management clearer information for decisions and controls.
Work across finance, risk, data engineering, analytics, product growth and commercial problems in international teams.
What people I have worked with say.
These are recommendations from colleagues who saw my work directly across growth, finance, analytics, data engineering and complex cross-functional projects.
I worked closely with Matteo on our most demanding client account, and I recommend him without hesitation. Matteo is who you want on the problems nobody has cracked yet.
His range is unusual. In the same week he would run a technical performance audit, dig into payment acceptance rates, and build an AI pipeline to pull customer sentiment from hundreds of YouTube comments. His work translates directly into results.
What sets Matteo apart is his diagnostic ability and communication. He breaks up a messy problem into its key parts and explain it so everyone understands the issue and its impact. He is also direct and honest about everything, which is exactly what true leadership requires.
Matteo raises the standard of any team he joins. Any company working on growth, analytics, or e-commerce performance would be fortunate to have him.
Matteo has outstanding skills in data and analytics, with expertise in Python. We both work on an ML project where we build, train, test, and deploy statistical models in production, continuously improving model performance and make a significant impact on your project. He is an excellent Python trainer and has strong problem-solving skills, which he applies to tackle complex business challenges. Matteo has great potential, and I am grateful to work with him.
Matteo has been a great person to work with who always endeavors to drive new innovations and get into the "Why" of a question. I have worked with him on multiple deployments, and its always a learning experience with him.
I had the opportunity to work with Matteo in a Cargill project where we were facing a big challenge to deliver a report for the Government of Argentina, before his involvement many teams tried different solutions, however it was Matteo who was able to provide the best solution that would fit the expectations and comply with the different regulations. Matteo's skills go beyond technical capabilities in Python and data analysis: he is an excellent problem solver, he is proactive, a good communicator, he is a change leader and a technology evangelist. In my 9 years working in Cargill I can say that is one of the top 10 professionals with I had work here.
I had the pleasure of working with Matteo when I first joined Cargill, and he was instrumental in helping me understand the intricacies of the business. His expertise spans both data-related topics and corporate finance, making him a well-rounded professional. Matteo is a quick learner and an excellent teacher, able to convey complex concepts clearly and deliver sustainable solutions that drive meaningful business growth.
I'd like to express my sincere appreciation for Matteo as a phenomenal Python developer and an indispensable partner in our projects. His deep expertise and unwavering support have been instrumental in delivering successful outcomes time and again. He consistently goes above and beyond, stepping in whenever our team faces challenges, and his problem-solving skills are second to none.
Working closely with him has not only been productive but also incredibly enriching. His ability to translate complex requirements into efficient solutions is truly commendable, making him a linchpin in our collaborative efforts. I feel fortunate to have such a dedicated and talented colleague on our team.
Our collaboration has been incredibly productive, thanks to his dedication and expertise. It's truly a privilege to work alongside someone who not only excels in their role but also contributes positively to the team dynamic. Here's to many more successful projects together!
Matteo and i had the oppourtinity to work together on a ML project where we came up with the entire model production, from sourcing data from a distributed platform (Hadoop), training the data on aws and piping it back to Hadoop with model results. It was an unsupervised ML model on anamoly detection applied in financial transactions. He is highly aware of different work cultures and excels in collaboration. He is ambitious and thrives working on core business problem. He has great potential and will always be an asset to his team.
Matteo's data and technical skills are really outstanding! It's been an honour to have his support in solving data science & engineering related problems. With a deep understanding of coding concepts and architectural data structure, Matteo has been abreast of latest resources in Python and SQL, including internal coding ecosystem on Hadoop. He's a great professional and poses solid skills in Machine Learning and statistical concepts since the basics to the most advanced topics, without loosing the capacity to share his knowledges and goals in a clear and concise way! I'm grateful to work with him!
Matteo's technical expertise and his analytical skills solved a problem that has been long lingering in our backlog, which was thought to be currently unsolvable. Exchanging knowledge, creating solutions and understanding the issues make him a great pair in the engineering process, alongside with his great personality. I'm thrilled to work side by side with him.
Good to have your support in our optimizing process! Beside the technical skills that you already have on understanding data analysis, your eagerness to learn more and more, really appreciate to share your knowledge with me always enthusiastically and positive attitude. Thanks a lot!
Additional feedback collected directly.
These reviews were collected through Senja from people who have worked with me on technical, analytical and growth-related work.
A career that moved from finance into data, technology and growth.
Each move added another way of looking at a business problem. The result is that I can move comfortably between commercial context, quantitative analysis and technical execution.
Growth, product & analytics
Working across conversion, payments, customer journeys, analytics, experimentation, partner needs and technical performance in ground transportation.
Financial Analytics Engineer
Built management reporting, more than 30 analytical models, dbt/SQL data layers and controls for financial and operational decision-making.
Finance, analytics & data engineering
Moved from financial management into business intelligence, Python and data engineering. Built APIs, ETL pipelines, reporting systems and machine-learning workflows for global finance and agricultural businesses.
Risk, restructuring & financial analysis
Worked on operational risk, key risk indicators, distressed transactions, debt repayment analysis, insolvency research, company fundamentals and credit analysis.
Business foundation, then deeper technical training.
MSc Business Administration
Accounting & Financial Management · Cum laudeRotterdam School of Management, Erasmus University
BSc International Business Administration
International Business AdministrationRotterdam School of Management, Erasmus University
Data Scientist Track
Python, statistics, data processing and applied data scienceDataquest
Winner of the Rotterdam100
Municipality of Rotterdam and Rotterdam100 partner organisations
Selected for a multidisciplinary talent competition and recognised for professional work ethic, entrepreneurial skills, creativity, perseverance, and the successful development of a Next Economy business case.Grade A: China's Economic Growth, Foreign Trade and Investment
LSE-PKU Summer School at Peking University
Completed the EC205 course at Peking University in Beijing from 8 to 19 August 2016 and received a grade of A.Financial Analysis academic recommendation
Graduate School of Management, St. Petersburg State University
A faculty recommendation highlighting analytical ability, attention to detail, teamwork, facilitation skills, and a strong drive to understand the financial sector.Grade A: Human Resource Management and Employment Relations
The London School of Economics and Political Science
Completed the intensive MG190 LSE Summer School course from 6 to 24 July 2015 and received a grade of A.Have a growth problem that needs more than one discipline?
Bring the commercial objective or the problem. We can talk through it and see whether my background is useful for what you are trying to do.