À propos de Adam
I am an analytical data scientist with 30 years experience in digital marketing and IT in startups to multinationals. I think fast, I learn fast and I ask difficult questions.
I have a master's degrees in data science and artificial intelligence, and a degree in software engineering.
I am passionate about providing valuable insights, and committed to helping companies move forward by helping them develop tactical and strategic plans based on predictive modelling and results.
I’ve personally designed and developed an internet search engine, two full-blown CMSs, mobile GPS games, multivariate test systems and I currently use my data science skills for research into tornadoes, and organisational communication issues.
Skills:
Data Analysis
Machine Learning
Predictive Modelling
Python
Pandas
Numpy
Scikit Learn
SQL
Tensorflow
Pytorch
AWS
Spark / PySpark
GCP
Git
Data capture, structure, cleaning, imputation, feature creation and engineering, univariate, bivariate, multivariate statistical analysis, matplotlib, seaborn, linear and polynomial regression, cnn (convolutional neural networks), cross validation, supervised learning, text vectorisation, image vectorisation, model selection, model training, model evaluation, XGBOOST, LGBM, VGG16, ResNet50, HuggingFace, Git, Unix, Dataviz - PowerBI, Tableau, Qlikview
Anglais
Bilingue ou natif
Français
Capacité professionnelle complète
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- TMF DataFounder, CTO & Data Wranglerjanvier 2023 - Aujourd'hui (3 ans et 5 mois)Paris, FranceTMF Data provides access to a huge repository of connected sources of data, allowing you to be quicker in your data tasks and more easily leverage the ower of your own analytical and modelling systems. Current activities include: TWITLEAN: Modelling of the political leaning and sentiment of tweets and twitter accounts. NLP with Word2Vec and CountVec and modelling to 85% accuracy with tree-based models trained on 150,000 tweets. REALCOMMS: Uncovering the real orgnisation of your company with analysis of the various internal communications channels used today - email, notion, whatsapp, slack etc. TORN-UP: Statistical analysis of extreme weather and tornado-producing supercells based on NOAA's SPC severe weather database, historical and forecast weather data, and raw rawisonde (weather balloon) open data. DONNEES TROU(VEES): Exposing sources of open data, modelling metadata to expose links to disparate data sources which can be linked and used together. Promising early stages.
- The Web's Too BigFounderseptembre 2019 - Aujourd'hui (6 ans et 9 mois)Paris, FranceConsulting in data leverage via data science, marketing, usability, data environments, customer service and success and optimisation in all aspects of web and product development
- EnovapMarketing Directornovembre 2017 - septembre 2019 (1 an et 10 mois)Sand, FranceOversaw and implemented all aspects of external marketing communication, branding and customer support for a hugely innovative vaping company.
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Formations
- Diplôme niveau 7 (Bac+5), Data Scientist et Intelligence ArtificielleOpenClassrooms2022Diplôme niveau 7 (Bac+5), Data Scientist et Intelligence Artificielle
- Software Engineering, Software EngineeringUniversity of Hertfordshire1992Software Engineering, Software Engineering