About me
A data-orientated professional with a client-facing, music business background. Managing some of the biggest artists in electronic music, now on a data-driven journey after switching career into the Data Science world.
Projects
- Book WooferLed a team of Data Scientists to enhance reading with music Built and deployed an application that evaluates text and plays music alongside the mood classification. Utilised Spotify and IMDb APIs to gather information. Used Natural Language Processing (NLP): Employed Machine Learning techniques by building pipelines to find the optimal results. Use of NLTK libraries and Word2Vec Trained and optimised various Deep Learning models, including Convolutional Neural Network, Recurrent Neural Network
Work history
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Artist ManagerBigfoot Music Management
- London, United KingdomFull Time
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Record Label ManagerBigfoot Music Management
- London, United KingdomFull Time
Project managed the largest techno label in the world. Successfully completed 100+ projects which led to their placement as number 1 in sales world wide.
Supported business development using data analytics from sales, streams and social media campaigns, to significantly boost sales.
Applied effective communication and listening skills when leading teams, establishing that all parties have clear understanding of their tasks and goals.
Reinforced brand development world wide ensuring that there were strict branding guidelines set across all outgoing materials.
Catalyst in developing the company to grow upwards from a team of 2 to 6 whilst preserving a solid financial footing.
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Skills
- Python
- Machine Learning
- Project Management
- Data Analytics
- SQL
- Github
Education
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Data ScienceLe Wagon
- London, United Kingdom
10-week full-time intensive coding bootcamp to learn Data Science with Python: Data Analytics with SQL,
BigQuery, Pandas, Numpy, and Matplotlib; Statistics with Scipy, Seaborn and Statsmodels;
Machine Learning with Scikit-learn; Deep Learning with TensorFlow Keras; and develop Data Products with Google Cloud Platform, ML Flow, Flask, Heroku and Streamlit.
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Music ProductionLeeds college of music
- Leeds, United Kingdom