cv

Curriculum vitae

Data scientist bridging theory and deployment by creating novel analytical frameworks across public health, humanitarian operations and industrial systems.

ORCID 0009-0000-4253-237X · LinkedIn · joe@imci.sg

education

Education

  1. Aug 2020 – Jul 2021
    Singapore

    National University of Singapore

    MSc Marketing Analytics and Insights

    • Valedictorian, top student of the class of 2021.
  2. Oct 2019 – Jun 2020
    Cambridge, UK

    University of Cambridge

    Certificate of Higher Education in Business and Management (part-time)

    • First-class distinction in business management and finance classes.
  3. Sep 2017 – Aug 2018
    Manchester, UK

    University of Manchester

    MSc Operations, Project and Supply Chain Management

    • Programme Prize for Academic Excellence, top student of the class of 2018.
  4. Sep 2012 – Jun 2016
    Toronto, Canada

    University of Toronto

    Honours BSc, Physics (major), Mathematics and Philosophy (minors)

    • Quantitative training in mathematical modelling, computational methods and programming.
experience

Work experience

  1. Sep 2024 – present
    Singapore

    IMCI AI Software

    Founder, Managing Director and Principal AI Consultant

    • Founded and lead an AI and data science consultancy serving Fortune 500 enterprises and global NGOs across commercial, humanitarian and healthcare work, owning each engagement end to end: finding where AI can be deployed strategically, then building it.
    • Embedded AI consultant with Dell Technologies Global Operations, leading cross-functional delivery of production AI and machine learning solutions: framing the problem with senior leadership, then writing and deploying the Python tooling that put each solution into daily operational use.
    • Developed a novel supply chain analytics methodology combining mathematical modelling and machine learning, and coded it into a reusable analytics tool the business now runs itself, surfacing $5M in potential cost savings to date.
    • Built and deployed a global risk-monitoring application for a UK export firm (Python data pipeline, R Shiny front end), adapting humanitarian early-warning methods to a distributor network across 48 countries to cut disruption-related holding costs.
    • Built predictive disease-outbreak models for South-East Asia for a global humanitarian NGO, combining epidemiological data with machine learning, delivered as a live forecasting pipeline with an alerting dashboard the NGO’s teams use for preparedness planning.
    • Designed, coded and deployed a sentiment analysis application (Python NLP, R Shiny) for a global NGO, turning public reaction into a real-time signal that shaped natural-disaster fundraising campaigns.
    • Built a field-team monitoring dashboard with integrated disaster and severe-weather early warnings, and prototyped case-tracking tools for one of Singapore’s children’s hospitals.
    • Designed automated data pipelines (Python, R, SQL) integrating statistical modelling, machine learning and AI for real-time operational decision support.
  2. Sep 2021 – Sep 2024
    Singapore

    Dell Technologies

    Advisor and data scientist, Robotic Process Automation team, Global Operations

    • Acted as an internal advisor across multiple procurement teams, diagnosing operational pain points and then personally building and deploying the custom tooling that resolved them (Python, R, VBA).
    • Built a predictive analytics framework to model redundancy across the global product offering, coding the models in Python and shipping them behind an interactive dashboard that product teams used to drive rationalisation decisions.
    • Democratised machine learning across business teams with internal Python and Streamlit applications that let non-technical users run ML algorithms on their own datasets without writing code.
    • Led and mentored the Dell summer internship programme as head mentor in 2024, tripling its funding through corporate sponsorship.
    • Received the Leadership Impact Award (2023). Founded the Dell Technologies Rock Climbing Club.
  3. Apr 2021 – Aug 2021
    Singapore

    Dell Technologies

    Data science intern, Robotic Process Automation team

    • Designed, coded and deployed a VBA and Python automation tool that became the team’s standard reporting process, cutting report preparation time by 85%.
    • Received the Best Intern Award (2021).
  4. Aug 2019 – May 2020
    Glasgow, UK

    BAE Systems

    Operations and manufacturing engineer, graduate training scheme

    • Advised stakeholders up to the Chief Operating Officer on process redesign and automation, delivering each recommendation as a working tool built and deployed in the department that needed it.
    • Supported the digitisation of manufacturing processes with custom VBA and Python scripts to improve operational efficiency.
    • Researched and rolled out an automated employee feedback collection system (VBA), adopted across the site and cutting reporting lead time by 90%.
    • Revitalised the reverse mentoring programme, increasing participation by 25%.
selected_work

Selected work

01 · Dell Technologies

supply chainsML

A new supply chain analytics methodology

problemCost hidden in the complexity of a global operations network.
methodMathematical modelling and machine learning, coded into a reusable analytics tool the business now runs itself.
result$5M in potential cost savings surfaced to date.

02 · UK export firm

riskearly warning

Global risk monitoring across 48 countries

problemDisruptions in a worldwide distributor network discovered too late, and paid for in holding costs.
methodHumanitarian early-warning methods adapted into a Python data pipeline with an R Shiny front end.
resultA live risk-monitoring application that cuts disruption-related holding costs.

03 · Global NGO

public healthforecasting

Disease-outbreak forecasting for South-East Asia

problemPreparedness planning that reacted to outbreaks instead of anticipating them.
methodPredictive models combining epidemiological data with machine learning, delivered as a live forecasting pipeline.
resultAn alerting dashboard the NGO’s teams now use for humanitarian preparedness.

04 · Global NGO

NLPhumanitarian

Sentiment analysis for disaster fundraising

problemFundraising teams guessing at public reaction during natural disasters.
methodPython NLP and an R Shiny application turning public reaction into a real-time signal.
resultLive sentiment data that shaped natural-disaster fundraising campaigns.

05 · Humanitarian organisation

early warningfield operations

Field-team monitoring and early-warning dashboard

problemField coordinators juggling team assignments, locations and travel plans across separate tools, with weather and disaster risk tracked somewhere else again.
methodOne platform from planning through deployment: assignments, real-time locations and itineraries, with an integrated early-warning system for approaching disasters and severe weather.
resultA single view with layered maps of nearby clinics and airports, supporting rapid evacuation and contingency planning when conditions change.
research

Research

2018 · MSc dissertation
The post-conflict agricultural supply chain: establishing a preliminary framework for barriers and enablers based on a case study in Lebanon. University of Manchester. PDF
2024 · White Paper No. 1
Rebuilding the chain: a humanitarian supply chain framework for post-conflict agriculture. Data collection partner: Lebanese NGOs.
2025 · White Paper No. 2
From outbreaks to enterprise: real-time risk forecasting using AI agents. Data collection partner: global humanitarian NGO.
2025 · White Paper No. 3
Reading sentiment: AI-enabled sentiment analysis for global disaster fundraising. Data collection partner: global humanitarian NGO.
teaching

Teaching

2025 · Indonesia
Lead instructor and course creator, Red Cross disaster mitigation strategy.
2025 · online
Course creator, data analytics for marketing using R and generative AI (Udemy).
2024 · Singapore
Programme leader and head mentor, Dell Technologies internship programme. Tripled programme funding.
Jul 2017 · East Africa
Instructor, fire systems engineering, in Tanzania, Uganda and Rwanda.
2014 · Toronto
Instructor, physics and mathematics for gifted children aged 6 to 12.
awards

Awards

2023
Leadership Impact Award, Dell Technologies
2021
Valedictorian, National University of Singapore
2021
Best Intern Award, Dell Technologies
2018
Programme Prize for Academic Excellence, University of Manchester
media

Media

Aug 2026 · Singapore Red Cross
International Humanitarian Impact and Outlook 2025–2026. The overseas humanitarian programme in Indonesia, with The Learning Farm, where I ran the disaster preparedness course (p. 5).
Jul 2022 · NUS BizBeat
Lessons from the Class of 2022 Valedictorians. On studying through the pandemic, as the MSc programmes valedictorian.
Jun 2022 · NUS Business School
Tips from MSc MAI seniors. Advice for incoming Marketing Analytics and Insights students (PDF).
Mar 2022 · MBAChina
跨国，转行，学营销分析，他为自己开辟了一条职业新路径. A profile on changing countries and careers to study marketing analytics (in Chinese).
Dec 2021 · NUS BizBeat
Charting a new course. From operations engineering in the defence industry to analytics.
Aug 2017 · The New Times, Rwanda
Hospitality sector embraces technology to ensure safety. Coverage of the Rwanda trip with Context Plus and Security Wide Technologies, whose installers had been trained on the fire and security systems.
Nov 2015 · The Varsity
In photos: U of T Boxing Club. A photo feature on the boxing club I helped found. No comment on my guard.
skills

Skills

programming
R (expert), Python (expert), VBA (expert), SQL (advanced), HTML and JavaScript (intermediate), C++ and Bash (basic)
libraries
R: shiny, dplyr, ggplot2, caret, randomForest, quanteda, openNLP. Python: Streamlit, Plotly, NumPy, pandas, PyTorch, scikit-learn, NLTK, OpenCV
machine learning
Predictive modelling and forecasting, NLP and sentiment analysis, computer vision, statistical inference
AI
LLM application design, retrieval-augmented generation, AI agent design and orchestration, prompt engineering, model customisation
research
Research methods (advanced), qualitative data collection (intermediate), data analytics (expert)
languages
English (native), French (fluent), Arabic (beginner), Mandarin Chinese (beginner)
volunteering

Volunteering

Red Cross, Singapore
First aid responder, First Aid on Wheels
NParks, Singapore
Volunteer citizen scientist, Biodiversity Beach Patrol
Dell Technologies
Founder, Rock Climbing Club
University of Toronto
Founding member, Boxing Club
consulting

Working on something similar?

If your organisation has a forecasting, risk or supply chain problem that needs both the thinking and the building, I’d like to hear about it.

Email meVisit IMCI