I'm Harold-Wilson Thom-Otuya, a Business and Data Analyst with over three years spent turning complex, messy data into decisions businesses can act on.
My approach comes from an unusual starting point: physics. Studying Industrial Physics at Covenant University taught me to break complicated systems down to their moving parts and ask the one question I still bring to every dataset — what is actually happening here, and what should we do about it? I've spent the years since answering that question for investment managers, fintech firms, and growing businesses.
At Pareto Funds and Securities, I ran risk and investment analysis on portfolios worth over ₦100M, delivering insights that sharpened asset allocation and reduced portfolio exposure by 8%. I built the real-time dashboards portfolio managers relied on to monitor performance and time their rebalancing, lifting reporting efficiency by 25%, and I automated the data pipelines feeding them, eliminating half of all manual reporting errors so the numbers leadership acted on could finally be trusted.
At Dantown, a fintech business, I now work across four entities as the analyst leadership leans on. I've architected a company-wide performance system that lets every staff member see their own KPIs and monthly scores, engineered research dashboards that cut insight delivery time by 30%, and turned monthly analysis of customer-experience and operational data into recommendations I drive through to execution. In parallel, my freelance work has helped small and mid-sized businesses cut reporting turnaround by up to 40% and recover hours each week through smarter automation.
My toolkit spans SQL, Power BI, Excel, Looker Studio, and Python, but I've learned the tools are the easy part. What matters is the thinking behind them: framing the right question, doubting the data before trusting it, and telling the story clearly enough that a decision actually follows.
I also founded Data Alchemists, a community where I train and mentor aspiring analysts through hands-on projects and workshops in Excel, Power BI, SQL, and Python, guiding many of them into their first analyst roles.
For me, data is only valuable the moment it leads to a decision. That's the standard I hold every project to.
