About Me.
I'm a self-employed data science consultant, working on all sorts of fun and impactful projects. Currently, I'm working with Singapore children's hospital to build a case database for their abuse intervention team, I also have an awesome project with the Red Cross tracking disease outbreaks across South East Asia, and finally I am a lead data science advisor in Procurement for Dell Technologies, where I deliver a range of impactful projects that uncover cost savings, automate complex workflows, and accelerate digital transformation strategy.
My professional journey has taken me through many exciting roles in Supply Chain, Manufacturing, Robotic Process Automation and Data Science, from the Scottish defence sector all the way to the Singaporean world of tech. The result? A cross-functional toolkit of technical skills, enough business insights to create a business-trivia pub quiz, and a love of collaborating with diverse teams who make every project an adventure.
Academically, I have been lucky enough to study under world class professors at the University of Manchester, University of Cambridge and the National University of Singapore, where I was honoured to be the 2021 valedictorian. Starting in Physics and Philosophy, moving to Manufacturing and Supply Chain Analytics, and finishing in Marketing Analytics, my academic journey has been as diverse as my professional journey, with pit stops in everything from Agricultural Supply Chains to Navy Ship design - if it’s got data, you’ll probably find me there.
Through-out my diverse career, I have always maintained a focus on data, a constant desire to continue my personal development, and an advocacy for early digital adoption. Beginning with my first role in an operations management grad scheme, I was constantly advocating for Machine Learning and Process Automation deployment to deliver additional value to my team. When advocating for new technologies, I find joy in distilling the complex ideas into a format that is accessible for senior leadership to understand, focussing on the impact of the technology rather than its mathematical underpinnings.
In my current role as a self-employed consultant, I lead a team of two high-performing developers to deliver innovative solutions across a range of business problems. As a team, we have built and deployed sophisticated machine learning models to solve business challenges in should-costing, purchasing, and complexity management - deploying cutting edge technology to deliver tangible business value. As a Team Leader, I find myself most at home when having one foot in business process and one foot in technical development. I love interfacing with the customer, understanding the business problems, workshopping the solution, and then translating the business need into technical requirements. Although, saying that, I also love getting my hands dirty with python and R code, especially when it comes to fine-tuning models and UIs to really blow the customer away.
When I'm not running my data science team, I love mentoring the next generation of incoming talent as a program lead for the Dell Singapore Summer Internship Program. Outside the office, I'm an avid outdoors enthusiast, and during my annual leave you'll find me either hiking up or snowboarding down a mountain. Finally, pro-bono analytics for charities is my favourite kind of side quest—if your cause needs a data ally, let’s team up and make an impact - my inbox is always open.
SKILLS
Creative Solution Design
Stakeholder and Project Managment
Ability to Lead, Persuade and Energize
Fluency in Python, R, SQL and more!
Data Display and Communication
Machine Learning and AI
Latest Projects
1
Commerical: PCBA Manufacturing Should-Costing Lab
The story of how I created a "Should-Costing Lab"- a sophisticated R-based simulation platform that allows manufacturers to validate ODM quotes by modelling end-to-end manufacturing processes. This digital factory simulation uncovered over $1 million in potential cost savings by enabling data-driven procurement negotiations and revealing discrepancies between manufacturer quotes and true manufacturing costs.
2
Humanitarian: Post-Conflict Agricultural Supply Chain
On overview of my dissertation, creating a preliminary framework for barriers and enablers in the post-conflict agricultural supply chain by combining academic literature with empirical data from a case study in Lebanon. This study identified key issues like governance, infrastructure, and market challenges, aiming to inform humanitarian interventions in similar fragile contexts.
3
Just for Fun: Creating A Wildlife Monitoring Station in Python
A how-to manual for copying my bird detection system: using a Raspberry Pi, a webcam and computer vision algorithms to automatically identify when a bird lands on my balcony and trigger real-time alerts to my phone. This DIY project combined hardware tinkering with machine learning to create a personal wildlife monitoring station, allowing me to never miss a feathered visitor while working from home.
BRANDS I WORK WITH
