Juanes Lamilla
Data Scientist specializing in Geospatial Analysis
Juanes Lamilla
About Me
I am a data scientist with 3 years of experience specializing in geospatial analysis. Further developing skills in machine learning, urban modelling & simulation, and complexity science while pursuing a master's degree at the University College London and conducting global research on catastrophe scenarios.
With my experience as a data science research associate and as a founder of a biofuel company, I'm passionate about leveraging technology and data-driven insights to create more sustainable, equitable, and livable cities.
- Residence Edmonton, Canada & London, UK
- e-mail juan.e.lamilla@gmail.com
- Phone +1 (709) 990-9099
- Languages English (Fluent), Spanish (Fluent), French (CECR language level A2)
What I Do
Tutoring Testimonials
During Stanford's 2021 session of Code in Place I was lucky enough to have Juan as my section leader, which made learning Python an absolute joy! His support and guidance were invaluable during my journey as a complete beginner to Computer Science, as his patience and dedication made even the most complex parts of the intense course seem fun and easy. I whole-heartedly recommend Juan as an asset to any team.
Juan made the solutions very clear while letting me come to the conclusions myself. I feel much more confident now than I felt before.
Graeme loves his tutoring time with Juan. Graeme asks for extra sessions. He's learned a ton and Juan has been great about helping direct Graeme's energy and passion towards growing his skills where Graeme leads. My son has been working with Juan for a year now and looks forward to tutoring every week! I think that speaks for itself!
Worked for
Resume
Experience
Dec. 2023 - Present
ALLFED - Alliance to Feed the Earth in DisastersData Science Research Associate
• Transitioned from intern role in order to lead and manage research project on global water infrastructure vulnerability in nuclear war conditions while fostering collaboration with a team of 5 international researchers.
• Developed a novel methodology leveraging climate modelling data alongside spatial analysis and mathematical modeling techniques with Python, resulting in identification of 5 to 8 million km of vulnerable water infrastructure.
• Drafted a scientific manuscript for publication, communicating research findings on a global scale and informing policy decisions for disaster resilience with impact potentially reaching over 2 billion individuals across 86 countries.
Oct. 2023 - Dec. 2023
ALLFED - Alliance to Feed the Earth in DisastersData Science Intern
• Determined seaweed growth rates across 248 exclusive economic zones for a upcoming paper on cost of seaweed in nuclear winter scenarios and writing test cases to ensure accuracy of results.
Sept. 2022 - June. 2023
University of Toronto - Institute for Management and InnovationTeaching Assistant
• Marked assessments and provided student assistance for classes upwards of 200 individuals, while also liaisoning with teaching assistants to ensure timely grading and feedback delivery.
May 2020 - Feb. 2022 (Seasonal)
Rio Tinto - Iron Ore Company of CanadaStudent Employee at Mining Operation
Sept. 2019 - Oct. 2020
Toronto Overwatch Community LeagueSole Python Developer
• Developed an automated Python program (w/ Heroku & PostgreSQL) to track and display comprehensive statistics for a 300+ participant esports league, employing OOP principles for managing datasets with 150+ data points per player.
• Established league as first community Overwatch league globally to offer public statistics tracking for its matches, subsequently inspiring numerous leagues worldwide to adopt similar practices.
Education
2023 - 2024 (Expected Graduation in September)
University College LondonMSc. Urban Spatial Science
Application of Data Science to Urban Environments.
• Currently on track to graduate with distinction.
• Courses include: Agent-Based Modelling, Data Science for Spatial Systems, Urban Simulation.
• Completing both Modelling & Simulation and Data Visualisation pathways.
2018 - 2023
University of TorontoHonour Bachelor of Science
• Major GPA: 3.95 out of 4.0
• Courses include: Advanced Urban Planning, Spatial Data Science, Geographic Information Analysis & Processing, GIS and Population Health, Software Design, Software Tools & System Programming, Computer Organization & Architecture, Data Structures & Analysis, GIS and Remote Sensing Integration, Digital Mapping and Principles of Cartography.
• Teaching Assistant for the Institute for Management & Innovation.
• Writer for student-led newspaper focusing on urban issues and policy. Projects include finding and interviewing the individual responsible for the first Official Plan of the City of Mississauga (current pop. 828,854).
2018
Salisbury Composite HighIB and Highschool Diplomas
• Completed every year with honours
Entrepreneurial Experience
2021 - Present
Bio Blends Diesel Solutions Inc.Co-Founder and CEO
Overview: Co-founded a biofuel and biodiesel production company that creates and distributes proprietary renewable fuel blends for Canadian farmers.
Traction: Created specialty biofuel blends designed to withstand any weather conditions, secured 3rd parting testing and supplier deals, completed automated pricing algorithm.
Success: Self-manufactured machinery capable of producing up to 1000 L of fuel created daily, approved as only one of 5 registered renewable fuel producers in the province of Alberta, finalist for the Adams Sustainability Prize.
Volunteering
2021 - 2023
Latin American Students Association, University of TorontoVice President of Finance
Recorded all financial transactions of the club, maintaining a budget of income and expenses.
Advised members on the financial position of the group and assisted with planning of events.
Prepared an annual budget for the group, alongside 2 biannual audits for the University of Toronto Mississauga Students' Union (UTMSU).
2022-2023
Department of Mathematics, University of TorontoOutreach Volunteer
Assisted in coordination of outreach events, including the Math Kangaroo Contest (Toronto) which hosted over 1000 students grade 1-12.
2021-2022
Code in Place, Stanford UniversitySection Leader
Part of the teaching team for Code in Place, offered by Stanford University during the COVID-19 pandemic.
Prepared and taught a weekly discussion section of 10-15 students to supplement professors' lectures in an introductory online Python programming course based on material from Stanford's programming course, CS106A.
Coding Skills
Python
R
Java
Swift & Kotlin
C++
C
GIS Tools
- ArcGIS Pro
- ESRI Imagine
- GRASS GIS
- QGIS
- Google Earth Engine
- SNAP Desktop
- GeoDa
- AnyLogic
AI & Machine Learning
- Scikit-Learn
- Tensorflow
- Keras
Database
- Firebase
- MySQL
- Firebase
- Google Cloud Platform
Industry Knowledge
- Data Structures
- Database Design
- Object-Oriented Programming
- Software Design
- Machine Learning Principles
Tools
- Linux/Unix
- Adobe Creative Cloud
- Google API
- Android Studio
- Xcode
- Microsoft Office
- RStudio
- Pycharm
- Eclipse
Certificates
Data and Urban Governance
Verified Certificate for Data Science: Machine Learning
Verified Certificate for Data Science: Linear Regression
Verified Certificate for Data Science: Wrangling
Verified Certificate for Data Science: Inference and Modeling
Verified Certificate for Data Science: Probability
Verified Certificate for Data Science: R Basics
Verified Certificate for Data Science: Visualization