Predicting The Future
with data

View Projects
MODEL_STATUS: RUNNING
About Me

I believe that we should let data speak for itself.

When we take time to notice that each dataset has a story to tell, it becomes fascinating to learn what's hidden within. This is precisely why data fascinates me, each and every dataset is unique, and has the potential to produce groundbreaking insights.

I've developed a passion for the process of turning columns and rows into value. Being able to dig up patterns, trends, and relationships, hidden within data is simply what I enjoy doing. This is what inspired me to forge a career in Data.

Languages & Tools
Python SQL R Excel Tableau
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
Selected Work

Projects That
moved the needle

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 →

Let's Build Something
together !

With the right data, the sky is the limit.