Siméone De Fremond

Associate

Geneva, Geneva, Switzerland

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Siméone De Fremond is an Associate at McKinsey & Company with nine years of experience at the intersection of life sciences strategy and digital transformation. She combines an MSc in Computer Science (AI) from ETH Zurich and a BSc in AI from the University of Manchester with hands-on machine learning research—her master’s thesis explored structured sparsity in transformers at ETH’s SPCL. Fluent in French, English and Chinese and based in Geneva, she brings a rare blend of consulting rigor and technical depth to client engagements. Her background spans product-focused internships in digital strategy for Air France and entrepreneurial ventures building cross-cultural platforms and a creator network, reflecting strong client empathy and go-to-market instincts. Currently part of McKinsey’s Digital & Analytics community and enrolled at Columbia Business School (MBA), she bridges advanced ML methods and business strategy to drive practical impact. A classically trained pianist with top conservatory honors, she often leverages cultural fluency and creative thinking in analytical problem solving.

9 years of coding experience

4 years of employment as a software developer

Bachelor of Science - BS, Artificial Intelligence, 81.07, Bachelor of Science - BS, Artificial Intelligence, 81.07 at The University of Manchester

Baccalauréat, Général Scientifique Option Internationale Section Américaine, Highest distinction: 18,45/20, Baccalauréat, Général Scientifique Option Internationale Section Américaine, Highest distinction: 18,45/20 at Ecole Jeannine Manuel

MBA, MBA at Columbia Business School

Certificat d'études musicales, Piano, Highest distinction with unanimous jury congratulations, Certificat d'études musicales, Piano, Highest distinction with unanimous jury congratulations at Conservatoire municipal de Paris 7e arrondissement

Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at ETH Zürich

French, English, Chinese, German

Stackoverflow

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Github Skills (34)

music-generation10

pygame10

theano9

lstm9

margin9

time-series-forecasting9

midi9

python8

music8

keras-tensorflow8

keras7

deep-learning7

fpga6

gaussian6

valueerror6

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

Simeonedef/music_gen_deep_learning

Oct 2018 - May 2020

Music Generation using Deep Learning in Python with Tensorflow & Keras

Contributions:26 commits, 23 pushes, 1 branch in 1 year 7 months

pythonmusic-generationdeep-learninglstmmidi

Simeonedef/Time-Series_Imaging_Forecasting

Mar 2020 - May 2020

In this project we have explored the use of imaging time series to enhance forecasting results with Neural Networks. The approach has revealed itself to be extremely promising as, both in combination with an LSTM architecture and without, it has out-performed the pure LSTM architecture by a solid margin within our test datasets.

Contributions:10 commits, 9 pushes, 1 branch in 2 months

forecastingtest-datasetsimagingseriestime-series

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