Richard Payne Email and Phone Number

Data scientist with a research and technical IT background. Experience of multimodal analysis of social media. Completed the CambridgeSpark Applied Data Science course. Extensive experience enabling academics and economists to use on-premise systems to solve a variety of development economics problems. Neural network research experience as research assistant and doctoral student.Data Science experience includes: - Python, NumPy, Pandas, scikit-learn - Supervised ML (logistic/linear regression, decision trees, kNN, SVM) - Unsupervised ML (k-means clustering, dimension reduction) - Time-series models - Ensemble models (bagging / random forest, boosting, xgboost, lightgbm) - Big Data tools including Spark, PySpark, MapReduce - Neural networks: keras, tensorflow, CNN, LSTM - NLP: SpaCy - Data Visualisation: Matplotlib, seaborn - SQL, Postgres and sqlite databases - Jupyter Notebooks, Unix / shell, git, GitHub - C, SQL, FORTRAN