Hi, I'm Marc 👋🏼

marccodess 🚀

Lead Data Scientist

Passion for building Data Products & Teams

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About Me

After completing my postgraduate studies in 2017, I began my professional career in Data Science and Advanced Analytics. During this time, I have worked at both start-ups and large scale businesses in the logistics, eCommerce and telecommunication sectors.

Working within a variety of sectors has allowed me to broaden my knowledge and experience, not only technically but in business and management. I am an experienced python programmer specialising in machine learning and artificial intelligence.

While specialising in these areas, my responsibilities have enabled me to gain vital practical experience in both data engineering and web development.

This portfolio was created to showcase my skills and open-source contributions in a centralised location. What started off as a side-project during the 2020 Covid-19 pandemic, has become a centralised portfolio website linking all my github repositories, social networks and technical writing articles.

07+ Years
Experience
03 Industry Sectors
Worked
>2.5k Online
Connections

Experience/Qualifications

Work
Education

MSc: Data Science and Analytics

Manchester Metropolitan University, UK
Sept 2016 - June 2017

Research Assistant/Part-time Lecturer

University of Salford, UK
June 2014 - Sept 2016

BSc: Geography - Glaciology and Climate Change

University of Salford, UK
Sept 2011 - June 2014

Lead Data Scientist

Virgin Media O2
Manchester, UK
Jan 2024 - Present

Senior Data Scientist

Virgin Media O2
Manchester, UK
July 2023 - Jan 2024

Data Scientist

Virgin Media O2
Manchester, UK
May 2020 - July 2023

Data Scientist

AO World
Manchester, UK
July 2019 - Mar 2020

Data Scientist

Dee Set
Manchester, UK
April 2018 - July 2019

Services/Skills

Automation

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Automation

  • Experience extracting data from websites/portals by implementing web scraping techniques.

  • Automated systematic processes reducing human reliability across multiple businesses.

  • Packages: Selenium, Beautiful Soup

Machine Learning

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ML

  • Implementation of supervised and unsupervised learning techniques to aid business decision-making.

  • Techniques Applied: XGBoost, Random Forest, K-Means, Linear Regression, PCA, LightGBM, CatBoost

  • Packages: Sklearn, Statsmodels, Pandas, NumPy

Deep Learning

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Deep Learning

  • Designed and developed an NLP neural network architecture classifying customer intention for contacting via voice and digital channels.

  • Developed computer vision models for an industry leading client, optimising visual merchandising productivity and stock levels.

  • Packages: Tensorflow, Keras, PyTorch

Cloud Computing

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Cloud Computing

  • Hands-on experience working with GCP, specifically Vertex AI and BigQuery.

  • Experience using both AWS and Microsoft Azure for EC2 and Azure VM purposes.

  • Features: Vertex AI, BigQuery, Cloud Storage, Cloud SDK, Dataflow, Looker

Data Engineering

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Data Engineering

  • Hands-on experience designing database architectures, data pipelines and transformations via dbt Cloud.

  • Multiple year exposure to MSSQL, BigQuery and MongoDB Atlas.

  • Software: BigQuery, SQL Server, dbt, MongoDB, SQLite

Web Development

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Web Development

  • Enhanced web development skills during the Covid-19 pandemic.

  • Developed websites and web applications using Python. Experience with front-end and back-end processes.

  • Languages: HTML, CSS, SCSS, JavaScript

  • Frameworks: Flask, Django

Portfolio Projects

Brain Tumor Image Classification

Implementing a VGG-16 model to detect benign or malignant brain tumors.

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Data Structures and Algorithms

Popular data structures and algorithms implemented in Python.

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Feature Selection using Genetic Algorithms

Improving model performance and excluding irrelevant features using Genetic Algorithms.

More info

Resources

My Recommended Resources

Online Courses

Favourate Online Course Material

Introduction to Git and GitHub

Coursera - Google 100%

Deep Learning Specialization

Coursera - DeepLearning.ai 95%

Books

Recommended Literature

Data Science from Scratch

O'Reilly - Joel Grus (2019) 90%

Papers

Research Papers Everyone Should Read

Attention Is All You Need

Vaswani, A et al. (2017) 90%

ImageNet Classification with Deep Convolutional Neural Networks

Krizhevsky, A, Sutskever, I and Hinton, GE (2012) 85%

Contact Me

For collaboration inquiries, contact me via one of my social media accounts below.