About
I enjoy building things -- idea to product -- and have worked on multiple projects over the years, often to solve a problem, but also exploratory; to develop new interests and technical skills.
I take a generalist approach to learning and personal development, awake hours are typically split between: working on projects, including learning new technologies and solving domain-specific problems; studying (mostly) technical subjects, such as computing, mathematics, finance, economics, and biology; and exercise, in particular mountain biking, road cycling, weight-lifting, and swimming.
I am currently building a collaborative investment management platform to make it easier to invest better together at EQZEN.
Education
Master of Science in Advanced Computing
King's College London, London, UK (2020)
Currently enrolled
Bachelor of Science with Honours in Computing and Information Technology
The Open University, Milton Keynes, UK 2018
Main fields of study: Computer Science
Technical Skills
I am a generalist software developer and work comfortably with multiple programming languages, including Java, Python, Lua, Scala, and Ruby. I am familiar with many software related tools, such as Mathematica, Photoshop, PhoneGap, and Corona SDK, and a few cloud platforms, such as AWS and Heroku, as well as various IDEs (but prefer Sublime Text).
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Web Development I have considerable experience with full-stack web development and have created web applications for 10+ years (mainly working on own projects). I work comfortably with multiple web technologies, including HTML, CSS, jQuery (JavaScript), PHP, MySQL, Flask (Python), Ruby on Rails, Sass, and MongoDB.
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Data Science I have a strong background in mathematics, including coursework in multivariable calculus and mathematical statistics, and work comfortably with quantitative problems. I am proficient at working with real-world datasets using Python libraries, including NumPy, Pandas, and matplotlib, as well as SQL/ SPARQL, Jupyter Notebook, and spreadsheet tools, such as Microsoft Excel.
Course list
2019
Descriptive statistics, regression and surveys, hypothesis testing, association and estimation, experiments and clinical trials.
The Open University
2018
Linux fundamentals, virtual machines, and PostgreSQL.
Udacity
Individual research, documentation tools and methods (research, synthesis, evaluation), literature search and review.
The Open University
Linear algebra, multivariable calculus, vector fields, first and second-order ordinary differential equations, partial differential equations.
The Open University
Software architecture, agile methods, design patterns, domain modeling and analysis (UML).
The Open University
Databases and data architectures, real-world dataset analysis (Python, SQL, MapReduce) and visualization (matplotlib), individual research and report writing.
The Open University
2017
Web standards and protocols, distributed architectures (REST, SOAP), mobile frameworks (Java, Android), cloud infrastructure and operations (OpenStack).
The Open University
Number theory, geometric transformations, differential equations, combinatorics, eigenvalues and eigenvectors, mathematical language and proof.
The Open University
Introduction to programming with C++.
Microsoft Corporation (edX)
Search and sorting algorithms (Python), binary trees, mathematical notation (sets, functions, logic, and proof), computational complexity.
The Open University
Software quality, team working, project and service management techniques (ITIL).
The Open University
2016
Client-server architecture, content markup (HTML, CSS, XML), usability and security (HTTPS), client and server side implementation languages (JavaScript, PHP, SQL).
The Open University
Object-oriented concepts and principles with Java.
The Open University
Computer architecture, networking, operating systems (Linux).
The Open University
Trigonometric functions, vectors and matrices, differentiation and integration, sequences, complex numbers.
The Open University
Spreadsheet techniques and best practices (PivotTables, VLOOKUPS, what-if analyses, graphs).
Delft University of Technology (edX)
Introduction to data analysis with Python (Numpy, Matplotlib, Pandas).
Microsoft Corporation (edX)
2015
Introduction to undergraduate-level computing and information technology.
The Open University
Introduction to undergraduate-level business studies.
The Open University
Introduction to undergraduate-level mathematics and statistics.
The Open University
Introduction to programming with HTML, CSS, and Python.
Udacity
Web development fundamentals, best practices, and professional problem-solving techniques using Developer Tools.
Udacity
2013
Introduction to Programming and Thinking in Computer Science
Introduction to programming concepts and ideas.
Stockholm University
Introduction to programming with C.
Luleå University of Technology
Mathematics II (preparatory)
Introduction to undergraduate-level mathematics (in Swedish).
Karlstad University
Spanish: Beginner Course I
Introduction to Spanish language and culture.
Karlstad University
Physics I (preparatory)
Introduction to undergraduate-level physics.
Karlstad University
Chemistry I (preparatory)
Introduction to undergraduate-level chemistry.
Karlstad University
Introduction to evolutionary biology, ecology, and geology.
Stockholm University
2012
Mathematics I (preparatory)
Introduction to undergraduate-level mathematics (in Swedish).
Karlstad University
Biology I (preparatory)
Introduction to undergraduate-level biology.
Karlstad University