Daniel Pereira De Abreu

Me?

Let's get to know me

Data Science / Software Development / Machine Learning

MSci Computer Science with Artificial Intelligence Graduate at the University of Nottingham, aspiring Machine Learning Engineer. I have undertaken multiple university and personal projects alongside three internships focused on Machine Learning. Recently, I completed my dissertation on Synthetic Data Generation for Cancer Prognosis Prediction alongside a Big Data project on scaling timeseries classification. My goal is to specialise and explore the latest trends in Deep Learning, Natural Language Processing and Computer Vision. I made this portfolio website with information regarding my interests, work experience, education, projects and more!

Current company: The University of Nottingham
Phone: +44 7465951120
City: Nottingham, United Kingdom

Business: DAnime Shop
Degree: MSci Computer Science with Artificial Intelligence

"By developing a passion for learning, you will never cease to grow".

Projects

Books Read

Hours Of Coding A Day

Awards

Skills proficiency

Python
R
Tensorflow
Scikit-Learn
PyTorch
OpenCV
Rust
Matlab
JavaScript
Typescript
HTML
CSS
Hadoop
MySQL
Hugging Face
VS Code
Conda
Git
GitKraken

LINEAR ALGEBRA / STATISTICS / PROBABILITY 90%

PYTHON 88%

PYTORCH / KERAS / TENSORFLOW / NUMPY-STACK 75%

MYSQL / SQL / HADOOP / SPARK60%

GENERATIVE DEEP LEARNING / NLP / REINFORCEMENT LEARNING60%

R / RUST 50%

HTML / CSS / JAVASCRIPT70%

GOOGLE CLOUD PLATFORM40%

LINUX / UNIX 55%

GIT / CI CD 80%

Interests

Fitness/Gym

Cooking

Gaming

Travelling

Music

Anime / Manga

Certificates of excellence

Abascus AI

Deep Learning with Pytorch

Mathematics of Machine Learning

Deep Reinforcement Learning

Computer Vision Masterclass

NLP for Text Summarisation

Resume

Check My Resume

CLICK TO DOWNLOAD RESUME

Summary

MSci Computer Science with Artificial Intelligence Graduate at the University of Nottingham, aspiring Machine Learning Engineer. I have undertaken multiple university and personal projects alongside three internships focused on Machine Learning. Recently, I completed my dissertation on Synthetic Data Generation for Cancer Prognosis Prediction alongside a Big Data project on scaling timeseries classification. During my latest internship, I utilized Python and Typescript to develop a JupyterLab extension that integrated with diffusion models generated using PyTorch. By employing version control with Git and adopting an agile methodology, I was able to iteratively meet goals and deadlines efficiently.

Nottingham, United Kingdom
+447465951120
danielabreu1738@gmail.com

Education

MSci in Computer Science with Artificial Intelligence

2020 - 2024

The University of Nottingham, United Kingdom

A Levels

2018 - 2020

Luton Sixth Form College, United Kingdom

A Level Computer Science (A)

A Level Mathematics (A)

A Level Geography (A)

IT National Diploma Level 3 (A*/A*)

Achievements

Owning an E-commerce store

03/2020 - Present

Developed and run an interactive and dynamic e-commerce website since COVID-19 lockdown, managing email campaigns, digital marketing, sales, financial reports, customer queries and inventory tracking.

Developed my own portfolio website

06/2023 - Present

Received 1st class grade across AI modules

09/2021 - 05/2024

Modules include Machine Learning, Data Science, Computer Vision, AI Methods, Reinforcement Learning and Big Data.

Made a car sales system using visual basic as my first project at 16.

2018

Achieved record breaking sales at John Lewis

06/2022 - 09/2023

Working within the tech department, I repeatedly upsold with figures showing record sales within the branch.

Work Experience

Human-Centred Data Science Summer Intern

06/2023 - 09/2023

Nottingham, United Kingdom - Vis4sense

Designed and implemented a JupyterLab extension to capture and store the history of generated images from a diffusion model made with Pytorch.
Utilized Typescript and Python within a Conda environment to ensure smooth integration.
Facilitated easier tracking of performance changes with hyperparameter adjustments, reducing the reliance on trial-and-error methods and improving the efficiency of the tuning process.
Laid the groundwork for ongoing project development, which is being expanded and refined by other developers to further expand it.

Artificial Intelligence Engineer Summer Intern

06/2022 - 09/2022

Nottingham, United Kingdom - BlueSkeye AI

Trained and improved the capability of an AI in understanding mental health based upon apparent expressions and car cabin driver behaviours.
Worked on a facial recognition system that output valence/arousal depending on the facial action units of individuals.
Created data parsing scripts to turn human annotated datasets into CSV files for comparison with the software made annotations, this led to the creation of clusters which compared human made data to software made data.
Assisted in a data collection programme of 100 participants.

Machine Learning Software Architect Intern

09/2021 - 05/2022

Nottingham, United Kingdom - Ideagen

Developed a meeting summariser using transformer-based models like BERT and T5 for summarizing natural language, leveraging their ability to handle sequential data with attention mechanism and positional embeddings for accurate and efficient summarization of different types of meetings.
Implemented Named Entity Recognition using NLTK and SpaCy libraries to identify and classify named entities (e.g., dates, people, locations) in text, facilitating content categorising and enabling efficient information retrieval in meeting summaries.
Employed the all-miniLM-L6-v2 sentence-transformers model to map sentences to a vector space and the cosine similarity algorithm to personalise summaries based on user-input keywords, enhancing relevance.

Tech John Lewis Partner

05/2021 - 11/2022

Nottingham, United Kingdom - John Lewis

Answer product questions with up-to-date knowledge of sales and store promotions.
Maintain internal visual merchandising and in-store displays and ensure store appearance always met company standards to drive continuous sales.
As the Apple Champion I checked up on all staff that required any Apple Seed training while also answering any queries regarding Apple products and services.
Work alongside retail representatives such as Apple, Bose, Bang Olufsen and Sony to boost product knowledge and sales.