Hi, I’m Maciej, a data scientist and engineer

I'm a dedicated and experienced data scientist based in Edinburgh, with a strong background in mathematics and deep proficiency in Python. My passion lies in transforming raw data into actionable insights, helping businesses and entrepreneurs harness the power of data to drive growth and profitability.

With years of experience working with a diverse range of clients, from start-ups to established companies, I specialise in data analysis, machine learning, and predictive modelling. My approach goes beyond number crunching: it's about understanding your business objectives, developing tailored solutions, and delivering strategic insights that produce real results.

Whether you're aiming to optimise operations, forecast trends, or make more informed decisions, I bring a blend of technical expertise, creativity, and a results driven mindset to every project. Let’s work together to turn your data into a powerful asset for your business.

My career up until now

My career hasn’t followed a straight line and that’s been my biggest strength. Each role, across industries and challenges, has layered new skills and fresh perspectives on how I use data to solve real problems.

I’ve designed pipelines, built models, and steered high stakes projects from strategy to delivery. Whether working with fast moving start ups or established organisations, I focus on creating practical, high impact solutions that drive results.

What I’ve learned is simple: the best work doesn’t come from tools alone, but from communication, adaptability, and the ability to ask the questions that really matter. Technology evolves what lasts is an outcome driven mindset. This is the journey that shaped me.

I am currently here in my journey :D

Dunapack Packaging

Process Automation Intern

Jun 2019 - Sep 2019

As an intern with a bit of extra time on my hands, I started poking at the little inefficiencies nobody else had time for. That turned into building VBA scripts and Task Scheduler jobs that automated reports, cleaned data, and generally saved people from boring copy paste work. It was my first taste of how small bits of automation can add up, and that a curious intern can sometimes leave behind tools used by the entire teams.

Ember Climate

Data Engineer

Sep 2021 - Dec 2022

The mission was clear - make energy data reliable enough to power real climate policy. I built pipelines to pull in messy datasets, validated them until they were bulletproof, and shaped them so analysts could dig into prices, demand, and energy mix without fighting the data first. Working this close to climate research taught me discipline, data quality isn’t just nice to have when your charts might end up in front of EU policymakers.

Valtech

Senior Data Engineer

Jan 2023 - Present

These days, I lead end to end data projects: designing pipelines, engineering reliable data flows, and applying data science to solve interesting problems. I’ve learned that the real challenge isn’t just building the tech, rather it’s aligning stakeholders, and guiding the team toward solutions that actually stick. The most rewarding part is seeing systems we’ve built saving hours of work and creating space for bigger, more meaningful problems to be solved.

My academic journey

Each stage of my academic journey has helped build a strong foundation for the work I do today, combining analytical rigour with practical application. More than just qualifications, it’s the mindset developed through education that continues to guide my work and curiosity.

Beyond technical skills, education has also helped me develop critical thinking, clear communication, and the ability to engage with complex issues from multiple perspectives. Working across diverse disciplines taught me to be adaptable and open minded, qualities that are just as essential as technical proficiency.

Fraser of Allander Institute

2nd place in the Economic Futures Essay Competition

I wrote a paper that highlights a recurring pattern observed after major global disruptions, a temporary drop in emissions, often followed by a rebound to even higher levels, raising important questions about long term environmental sustainability.

University of Edinburgh

MSc Operational Research and Data Science

2020 - 2021

During the course, I learned how to break down complex problems and solve them using a mix of maths, programming, and data. From optimisation and simulation to machine learning and statistics, I built a strong toolkit for making smarter decisions with data.
University of Glasgow

MA Economics and Mathematics

2016 - 2020

Coursework included multivariable calculus, linear algebra, applied mathematics, classical mechanics, mathematical modelling, real analysis, and pure mathematics, with particular emphasis on groups, transformations, and symmetries. This provided a strong grounding in both the theoretical and practical dimensions of mathematics.