Data Wizard
Zara is the data and analytics lead at Monkey Magic AI. She brings order to chaos, turning raw information into actionable intelligence. Her work underpins every data-driven decision the company makes, from model training pipelines to business strategy.
Before joining Monkey Magic AI, Zara built her reputation at several major financial institutions, where she designed predictive analytics systems, fraud detection models and real-time market data platforms. Her ability to find meaningful patterns in noisy datasets is widely regarded as exceptional.
Zara specialises in machine learning, statistical modelling and data engineering. She is particularly interested in the intersection of AI and financial markets, where she has developed models for risk assessment, portfolio optimisation and anomaly detection.
She sees patterns in chaos. Where others see noise, Zara sees signal. She followed the white rabbit deep into the data and came back with insights that changed how the team thinks about everything from model architecture to banana procurement logistics.
Zara once built a neural network that could predict banana ripeness with 97.3% accuracy from a single photograph. The model was never deployed commercially, but it remains the team's most discussed side project.
When not wrestling with datasets, Zara enjoys cryptic crossword puzzles, long walks through botanical gardens and reading obscure academic papers on information theory. She is also the undisputed champion of the office trivia night, a title she defends with statistical rigour.