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Driven Data Scientist specialising in machine learning
Sam Vente
,
cardiff, United Kingdom
Student
Experience
Other titles
Skills
I'm offering
In my 3+ years of experience in data science and machine learning, I have developed new applications both in medical and decentralized settings, leading to the publication of several articles in well-known conferences and the development of new research avenues. I have strong communication and data visualization skills allowing me to communicate effectively and collaborate effectively in multidisciplinary teams, and passionate work ethic helps me make a bigger impact where it matters.
Markets
United States
(Remote
only)
United Kingdom
Denmark
(Remote
only)
Norway
(Remote
only)
Sweden
(Remote
only)
Finland
(Remote
only)
Links for more
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Language
English
Fluently
Spanish
Good
Dutch
Fluently
Ready for
Ongoing relation / part-time
Available
My experience
2018 - ?
job
Teaching assistant
School of Computer Science.
Helped students develop a detailed understanding of core computer science and programming abilities. Solidified abilities to give constructive criticism and clearly explain abstract concepts.
Teaching, Training, Coaching
2017 - 2017
internship
Data science internship
AND Automotive Navigation products.
AND Automotive Navigation products.
• Provided the groundwork for a framework to automatically update and create new maps from data
• Helped create, index, and clean a dataset of several terabytes of acquired raw GPS location data increasing the data and insight available to the business.
• Created robust documentation for the project and the data used to ensure the project could be transferred within the company and further developed by other employees.
• While I was the only one working on this specific project, I operated in a Scrum like manner, providing frequent updates to upper management to allow for rapid prototyping and readjusting priorities as needed for the business.
• Technologies used: Python, SQL, and GIS(geographic information systems)
• Helped create, index, and clean a dataset of several terabytes of acquired raw GPS location data increasing the data and insight available to the business.
• Created robust documentation for the project and the data used to ensure the project could be transferred within the company and further developed by other employees.
• While I was the only one working on this specific project, I operated in a Scrum like manner, providing frequent updates to upper management to allow for rapid prototyping and readjusting priorities as needed for the business.
• Technologies used: Python, SQL, and GIS(geographic information systems)
Python, Data Science, PostgreSQL, Gis, Science, Framework, Internship, DATA ANALYSIS AND VISUALIZATION, Big Data, SQL Databases, Software development
My education
2018
-
2021
Cardiff University
Doctorate, Artificial intelligence
Doctorate, Artificial intelligence
• Created a wide and comprehensive literature review of the field of automated negotiation, that both gives a compact introduction to the theory and helped identify gaps in the literature that I am currently working to fill, using a hands-on independent work ethic.
• Produced an article (currently under review at AAMAS conference), on an extension to the most common communication protocol allowing bots to communicate much more efficiently saving both bandwidth and computing power.
• Developed a high quality and thoroughly tested framework in Python, by using Test Driven Development, automated testing and Agile development methods, for simulating automated negotiation under different circumstances to allow quality benchmarking and analytics of different protocols and strategies of negotiation bots using different performance metrics.
• Technologies used so far: Python(Numpy, SciPi, Sci-kit Learn, Pandas, Matplotlib, PyTest), Git and LaTeX, Travis CI (continues integration)
2017
-
2018
University of St Andrews
Master, Artificial intelligence
Master, Artificial intelligence
• Collaborated with an interdisciplinary team consisting of computer science and medical experts, to facilitate critical and smooth communication of both theory and requirements between all parties.
• Implemented a desktop application to allow medical experts without specialized training to provide quality data to be used in the study.
• Experimented and compared several approaches in both image processing and machine learning, such as edge detection, neural networks comparing performance metrics
• Produced machine learning software that opened up a whole new avenue with a big potential impact for clinical research and potential treatments of Tuberculosis.
2012
-
2016
Leiden University
Bachelor, Mathematics and Computer Science
Bachelor, Mathematics and Computer Science
• Implemented and benchmarked several machine learning algorithms, exposing practical performance issues in a new algorithm, leading to new research avenues.
• I implemented several standard AI and computer science programmes, such as chess playing bots, self-balancing data structures and realistic interactive scenes using computer graphics.
• During the development of these programs, I also implemented several tools for testing the programmes that eventually helped the lecturers mark the work of other pupils with much greater ease.
• Completed modules: Multi-variate calculus, Complex analysis, differential equations, Statistics, Group Theory, Algorithms, Data Structures, Programming Techniques, Artificial Intelligence and Computer Graphics.
• Organized study trip for 50 students to various institutions in Switzerland including CERN, Google, ETH, and EPFL, organizing lectures at each of those.
• Technologies used: Python (Numpy, SciPi, Sci-kit Learn, Pandas, Matplotlib), C++, Java, Android, Git and LaTeX
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