Data & AI
consultant

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MODEL_STATUS: RUNNING
About Me

At the intersection of Data and AI is your story waiting to be told.

In today's world the difference maker isn't just having data, it's knowing what to do with it. There's always a hidden story to tell. This is precisely why your team needs an experienced practioner who can handle the full data pipeline from A-Z.

So, if you want to turn your columns and rows into value, to dig up patterns, and to chart hidden relationships within your data then you've come to the right place.

Languages & Tools
Python SQL R Excel Tableau LLM Agents
Analytics
Data Cleaning Exploratory Analysis Inferential Statistics Natural Language Processing Experimentation A|B Testing Predictive Modeling Machine Learning
Communication
Data Storytelling Stakeholder Reporting Dashboard Design Mentoring
Dashboards
Geo-Mapping
Selected Work
01
Using Customer Insights as Business Intelligence
Investigated recent transactions, customer demographics, allocation of loyalty points, and customer reviews from an international retailer to provide recommendations for how to improve sales and marketing.
Python R NLP Linear Regression K-Means Clustering
Project Summary → Code →
02
Exploring NHS Data: Why Patients Miss Appointments
Investigated over 742 million GP appointment records across the NHS to uncover why patients missed their appointments. Analyzed staffing capacity, booking behaviour, and appointment duration to deliver recommendations.
Python NLP Time Series Linear Regression
Project Summary → Code →
03
Interpreting Real-Time Language Perception
Investigated real-time language perception with electrophysiological data. Applied Bayesian modeling to interpret the results providing insights about the predictive mechanisms of the brain and uncovered how figurative language processing occurs.
Python R Bayesian Statistics
Project Summary → Code →
04
Predicting The Outcome of Shark Attacks
Investigated historical data on shark attacks off the California coastline. Presented the descriptive statistics of shark attacks, then utilized Feature Analysis and Machine Learning to determine the predictive elements of shark attack severity.
Python Public Data Random Forest XGBoost Feature Analysis
Project Summary → Code →
05
Prototyping a Location Health Index
Designed a scoring framework to rank outlet performance, benchmark locations against competition, and flag at-risk businesses while utilizing clear and explainable performance drivers as a repeatable analytics product to drive informed analytical recommendations.
Python NLP Benchmarking Linear Regression
Coming Soon →
06
Do LLMs Read Minds? Demystifying Theory of Mind in chatbots
Conducted a study testing the claim that LLMs can accurately attribute mental states (she thinks that he thinks), by using the Unexpected Transfer task to assess five up-to-date LLMs. The results indicated that while each model cumulatively performed above chance, they regularly defaulted to using less costly heuristics in place of dynamically tracking mental states.
R LLMs Research
Project Summary → Article →

Let's Build Something
together

With the right data, the sky is the limit