About

Marvis Osazuwa

Analytics engineer based in Manchester, UK. MSc Data Science, University of Salford (Distinction).

Last updated September 2026

Portrait of Marvis Osazuwa

The reliability of a dashboard depends on the pipeline that supplies its data. When a dashboard shows a wrong number, the cause is usually upstream.

Most of my work is on that upstream layer.

How I got here.

I started at Guaranty Trust Bank in Edo, Nigeria, in a customer service role: account enquiries, transaction disputes, helping customers onto self-service channels, logging complaints.

A few years later I joined the Federal Mortgage Bank of Nigeria in Abuja, Nigeria, as a Strategic Data Insights Analyst in the Asset Creation Unit of the Loan Administration group. The work was loan-portfolio analytics and IT-governance reporting: repayment tracking in Python and SQL on Tableau, a data-integrity overhaul of the core loan data, and the reports senior leadership acted on. The scale was bigger than anything I had worked with before. By the time I left, I knew I wanted to spend the rest of my career on the data side.

In 2020 I moved to Istanbul, Türkiye, to read for my MSc in Big Data Analytics and Management at Bahcesehir University. Two and a half years of distributed systems, cloud, market analytics, and a thesis I enjoyed: a recommender for football scouting across five European leagues. I have analysed football for many years, so the topic was a natural choice for my thesis. Alongside the MSc, I joined Microsoft's Learn Student Ambassador programme for nearly three years (January 2021 to September 2023), ran cross-university Azure workshops, organised a community hackathon, and worked with fellow ambassadors and interested learners across multiple universities.

After the Bahcesehir MSc I spent 15 months learning new tools through Google Cloud, IBM and LinkedIn Learning courses in statistics, R, BigQuery, Tableau and design thinking. I open-sourced a recommender system and a SQL Server schema during that window. The habit I built in that period matters more than the certifications: when a task needs a tool I do not know, I learn it in my own time, often at weekends.

In mid-2024 I joined Natural Clinic in Istanbul, Türkiye, as their CRM Data Specialist. This was my first proper end-to-end ownership role. The CRM had grown organically over the years, and the marketing and sales teams were ready for a more reliable foundation underneath it. I rebuilt it completely: I cleaned the records, connected the marketing tools into one consistent data flow, and gave teams live dashboards to replace the static, manually refreshed reports they had used before. The work showed me that data quality is mostly a question of trust, and that teams trust the data more with each report that proves reliable.

In January 2025 I started an MSc in Data Science at the University of Salford and finished it with Distinction in May 2026. My dissertation was an agentic ELT platform for customer intelligence, which I scoped and built solo against a live B2B SaaS environment under NDA. It is the work I would point to first when someone asks how I build a data platform end to end.

Most recently I worked as an Analytics Engineer at Force24, a marketing automation SaaS in Leeds, UK. I built the data layer for their account intelligence platform from scratch and contributed across the rest of the stack into a live production environment. I designed the lead feature on a principle I apply often: a dashboard should display data and also lead the user to a specific action.

What I'm doing now.

I am currently building independent projects. Most use dbt, Dagster and PostgreSQL. Some have nothing to do with IT.

I am interested in how LLM agents can use a data platform: they should read from tested marts and be part of the architecture from the start.

What I work on.

Data modelling, tested pipelines, data quality checks, and machine learning models whose predictions can be explained. Most of my work is on the data layer that reports and models depend on.

Education

  • University of Salford · Manchester, UK · MSc Data Science · January 2025 to May 2026 · Distinction
  • Bahcesehir University · Istanbul, Türkiye · MSc Big Data Analytics and Management · 2020 to 2023 · GPA 3.67 / 4.00
  • University of Benin · Edo, Nigeria · BEng Computer Engineering · 2011 to 2017

Certifications

Certifications and their issuing organisations
CertificationIssuer
Engineer Data for Predictive Modeling with BigQuery MLGoogle Cloud
Python for Data Science, AI & DevelopmentCoursera
Generative AI for Business LeadersCoursera
Tableau for Data ScientistsLinkedIn Learning
Statistics Foundations 1 to 4LinkedIn Learning
Enterprise Design Thinking PractitionerIBM
Enterprise Design Thinking Team Essentials for AIIBM
Enterprise Design Thinking Co-CreatorIBM

Off the clock.

A handful of things that aren't on a CV but are still part of how I think.

Bayern Munich, lifelong. I started watching in the Oliver Kahn era and have supported the club ever since. I tried to model my own game on Philipp Lahm: quiet, positionally disciplined, and focused on keeping the team's structure. I also admired Ballack, who wore number 13. I follow Bundesliga closely but watch across leagues, and I keep an eye on Nigeria and Germany at the international level. My Bahcesehir thesis came directly from this interest: I have always been good at spotting talented players before they reach the first team, and the thesis turned that skill into a data method. I often talk about young players before they have made their debut.

Modern philosophy and unfiltered cultural commentary. Mark Manson is a regular, Everything Is Fucked in particular. I read widely in this area, from writers who describe the world directly, such as Scott Galloway on business and culture, to memoirs such as Jordan Belfort's. What I read depends on my mood. I'm a podcast person too: Steven Bartlett's Diary of a CEO, Afropolitan, a rotating set of others.

Istanbul, then Manchester. I lived in Türkiye for four years. I miss the energy, the chai, the food, and meeting people from many different countries. Manchester is calmer. The large Nigerian community here makes it feel like home, and Britain and Nigeria share a Commonwealth history, so many cultural norms are familiar.

Music while I work. Afrobeats, rap, R&B, reggae, dancehall, pop: the rotation depends entirely on the mood. I play Tems and Wizkid for calm work, Sean Paul when I need more energy, and Jahmiel when I want something more serious. I think the right music makes me faster.

Introducing people. In a group I am usually the person who introduces people to each other, and those introductions often turn out to be useful to both sides. I love being well-rounded enough to surprise people with what I know about, and I love learning from people who know more than I do about the things I haven't got to yet. I often use traditional proverbs in conversation. I currently want to learn chess properly, and I want to start playing football again.

One small opinion. I think sushi is overrated; I have tried it several times and do not understand the appeal.