He has his Ph.D. in Computational Engineering

His last position, working at a personal finance organsiation, he specialised in; Contextual bandits for product placement/ordering, User understanding for prospective and propensity models, ML monitoring for production pipelines, and ML job submission and workflow management

Data Science Skills include:

• Data Science Platforms - Databricks, AWS, Snowflake
• Deep Learning - NLP/NLU, Unsupervised and Weakly-supervised learning
• Machine Learning - Network analysis, Bayesian inference
• Bayesian Learning/Probabilistic Programming - PyMC3
• Deep Learning Frameworks - Tensorflow, Pytorch, Keras, Scikit-learn
• DataScience - Pandas, NumPy, SciPy, Nlopt, PySpark, Airflow, Kedro
• HPC - HPC, FEM, Eigen, PetSc, MPI, OpenMP, CUDA, OpenACC
• Information Visualization - Plot.ly, Matplotlib, Bokeh, Tableau
• Languages - C, C++, Python, Fortran
• Database/Datalake - MongoDB, SQL, Delta Lake
• Workflow management - Git, Ansible
• MLOps - MLflow, Neptune.ml, Comet.ml