David D. Email & Phone Number

Carlton, Vic, Au

Eltham, Vic, Au

Melbourne, Victoria, Australia

Designed and built business heuristic solver for retail product optimisation. The software delivered transformative and tangible benefits to the business - improving bottom lines and the end to end engagement process for users.Primarily this role has focused on the delivery of a performant greedy optimisation solver in C++ and building the ui, forecast and data pipeline and other components with python. - Algorithm/ feature design and proposals - including mathematical design for optimisation heuristic objectives and constraints. - Development of well tested performant C++ optimisation solver. Delivered with high test coverage and documentation. - Data model: design and creation. Data pipelines, eda and etl with sql, spark, python- Model validation and analytics review of results- Code review / pair programming and peer review. Mentorship and training of new developers.- Docker with Jenkins CICD.- Workflow using agile and jira.

Sydney

Machine learning modeling and model validation over au and us medical billing datasets; hospital, medical and ancillary. - Developing statistical hypothesis on a range of prediction tasks in order to facilitate subsequent algorithm design.- Develop and implement artificial neural net algorithms for outlier/ interestingness prediction; Including time series prediction, seq2seq, code2vec, deep clustering and more. (tensorflow, gensim). Built new architectures in tensorflow.- Research and application of state of the art of NLP and variational methods to develop end to end task prediction frameworks. Implement machine driven explanation frameworks and validation (skoperules, shapley, lime, using RF and transformer head weights )- Client engagement for findings- Data prep/ etl (postgress, pyspark, pandas)

Sydney, Australia

- Financial modelling for large scale product migrations - Create strategic roadmaps for C-suit discussion- Explore applications of changepoint detection models as a mechanism informing product strategy

Melbourne, Australia

Analyzed the effectiveness of a statistical technique known as ABC: Approximate Bayesian Computation (enabler of Bayesian regression without likelihoods) for modelling rainflows into a water catchment.

Master Of Science (Msc), Mathematical Statistics And Probability

Bachelor Of Science (Bsc), Mathematical Statistics And Probability

Activities and Societies: Secretary - Pool Club, Vice President - Pool Club, Elected: Arts Committee