Personal Projects
Deep Learning & Computer Vision
A Deep Learning Approach to Identifying Messi: Darknet YOLOv4 Custom Object Detector
Convolutional Neural Networks, Darknet, GPU, YOLOv4
This project trains a Darknet framework YOLOv4 object detection model to identify and follow Messi throughout various Barça football games
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Using Spotipy, K-Means Clustering and Plotly to Analyse My Personal Spotify Music Library
EDA, K-Means Clustering, Spotipy, Unsupervised ML
This project uses Spotipy, Spotify’s API, to access my music library and analyze trends in listening behavior over time. K-Means groups my songs by audio features
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Exploratory Data Analysis & Unsupervised Machine Learning
Automation & Computer Vision
Winning a Tesla (Hopefully!) With Selenium Automation and Optical Character Recognition
OpenCV, Optical Character Recognition, Selenium
OCR is used read a promotional code and the process involved in entering the code to enter a draw to win a Tesla Model 3 is automated using Selenium
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Natural Language Processing, Co-Occurrence and Sentiment Analysis of App Store Reviews
BeautifulSoup, Bigrams, Netwok Graphs, NLP, TextBlob
This project scrapes the Google Play and iOS App store before conducting a sentiment analysis on app reviews for 'Asos' using the VADER sentiment library
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Natural Language Processing & Web Scraping
Profesional Development
Work Experience
Data Scientist
LEGO Group
Jan 2021 - Present
Lego System A/S (trade name: The Lego Group) is a Danish toy production company based in Billund. It is best known for the manufacture of Lego-brand toys, consisting mostly of interlocking plastic bricks. The Lego Group has also built several amusement parks around the world
Data Scientist
Echobox
Oct 2020 - Jan 2021
Detected inefficiencies in the Echobox traffic data collection processes. Identified and documented 12 unique problems impacting over 100 data APIs. Created Python modules to automate and facilitate the detection workflow. Advanced steps to resolve each problem to stakeholders.
Data Science Consultant
Aucerna
Oct 2020 - Present
Integrating Python with Dynamics 365 CRM using the Product Insights SDK to allow native tasks in the CRM to be pushed, read and worked with in the Python environment. Pipelining data mining stages to obtain real-time data and churn predictions.
Data Scientist
Aucerna
Aug 2020 - Oct 2020
Trained a probabilistic classifier to predict client contract churn for Aucerna. Provided the risk assessment team with a data-driven churn score based on customer, product usage, industry and business-to-client communication data. Advocated data collection improvements.
Data Scientist
Capital Pilot
Jun 2020 - Aug 2020
Built an automated data collection pipeline using REST APIs and web-scrapers to extract information of companies from online sources (Beauhurst, Companies House, LinkedIn) reducing data mining time by hours. Used to evaluate market position, traction and company invest-ability.
Digital Data & Insights Analyst
KAU Media Group
Aug 2016 - Aug 2019
Queried a MySQL database and administered it through AWS Key Management Service to store, manage and analyse sensitive marketing campaign data. Accessed this data to identify trends, patterns and ultimately business opportunities that clients benefited from.
Education
Imperial College Buisness School
MSc Buisness Analytics, Distinction (76%)
2019-2020
The course prepared me for a future of data driven and evidence-based decision making. I've learned how to apply the latest academic thinking and analytical and computing tools to help find solutions to business problems. Grounded in rigorous technical and quantitative training, programme is highly applied.
City, University of London
BEng (Hons) Engineering with Management
and Entrepreneurship, First Class Honours (75%)
2014-2018
Throughout this degree I excelled in modules set within a multidisciplinary environment. Offering a mix of engineering, business and management topics I achieved a solid grasp of mathematical principles and engineering methodology.
The American School of Barcelona
International Baccalaureate
2011-2014
My experience emphasized both breadth and depth of knowledge; my assessments encouraged me to think critically and problem-solve, leading towards individual responsibility in learning.
Contact
E-mail: j.clavedomenech@gmail.com
LinkedIn: Jaume Clave Domenech
Please contact me for any further information! I'm always eager to connect and work with positive and hard-working teams!
