Dominic Ktori

I’m a data-driven individual with cross-functional experience across Data analytics (Specialised in Machine learning) , digital media buying, web development and quantitative finance.

Technical expertise with data backed impacts: Driven by performance, automation, and precision.

Education: First-Class Master's in Physics: Graduated top of my year, earning the Finalist of the Year award.

Data Analytics & Machine Learning

Delivered scalable solutions, including a fault isolation system for commercial buildings using LSTM neural networks. Utilized Pandas, NumPy, and PCA for data processing, and deployed models on Google Cloud for enterprise-level performance.

Digital performance marketing, I applied lasso regression and clustering techniques to analysed campaign metrics across 1000s of ad variants. Identified high-performing audiences reducing customer acquisition cost (CPA) by 30% and improved ad spend efficiency across Google and Meta platforms.

Digital Media Buying

Generated over £1.4M in revenue with an average 49% ROI across Google, Facebook, YouTube, and SEO campaigns. I improved CTR by 20% using automated A/B testing and increased weekly returns by 50% through machine learning and game-theoretic strategies.

I developed comprehensive strategy reports and insights using Power BI and Excel .

Web Development

With a strong frontend and performance marketing background, I’ve built and launched over 50+ high-converting landing, option, and checkout pages, combining responsive design with user intent and SEO strategy to drive business growth.

Quantitative Finance

Designed and deployed market-making arbitrage strategies for crypto spot and futures markets, backtested over 8 years of historical data while incorporating latency, slippage, and transaction fees.

Delivered Ethereum smart contracts to support DeFi strategies, and developed automated SQL data pipelines and Tableau dashboards for client-facing performance tracking.

In a trading-focused research project, I developed a neural network–based cointegration strategy in Python using TensorFlow/Keras, producing a 17% annualized return, Sharpe ratio of 2.4, and a max drawdown under 6%.

Across every role, I bring a consistent focus on optimization, automation, and measurable outcomes — solving complex problems with clean, scalable solutions.