Christopher Bennett Email & Phone Number

Sydney, Nsw, Au

Sydney, New South Wales, Australia

As the Principal Data Scientist my primary duties are to lead the data science discipline, ensure that the R&D organization has the data analytics capabilities to facilitate continuous innovation; provide data science services to internal and external stakeholders; efficiently communicate insights and outcomes; and medical device algorithm technology development.Core responsibilities: - Innovation - R&D data science discipline lead - Project lead & project management - Manage internationally dispersed teams - Advanced analytics - AI/ML algorithms development for medical devices - Delivering data strategic initiatives for R&D (datalakes & lakehouses) - Building Cochlear's R&D data science capabilities - Clinical study design and reporting (protocols, statistical analysis plans, statistics analysis) - Fostering technology development partnerships with external organisations - Collaborate directly with clinical professionals for product ideation and piloting prototype appsTools: - Python (numpy, pandas, scipy, streamlit, Pytorch, TensorFlow, etc.) - Webapp dev: Javascript, html, css, etc. - AWS (Amazon Web Services), S3, SageMaker, EC2, VPC, Endpoints, Subnets, Routing Tables, EC2, etc. - Snowflake, MS SQL Server, Postgres, etc.

Sydney, Australia

As Cochlear's first Data Scientist, my mission at Cochlear is to engage in continuous organisational wide data science and analytics capability development by demonstrating the value that data science brings to risk quantification and mitigation, the product development cycle and marketing through customer behaviour modelling. Working in collaboration with a broad range of stakeholders (local and international), I have applied data science expertise on numerous business critical projects that have had successful and far reaching revenue generation and cost reduction implications.Activities:- Senior level and C-level executive stakeholder engagement- Project management- Management and mentoring of emerging talent- Research and development of algorithms for use in clinical settings- Bespoke software development- Data mining, modelling, migration and ETL; local and AWS infrastructure- Ensure that data privacy and security obligations are adhered to and built into data solutions- Risk and root cause analysis- Statistical analyses- Statistical and machine learning based modelling- Customer behaviour identification, quantification and modelling- Clinical study investigator (ie. statistical analysis plans and analyses)- Developed and presented data science training modules- Patent submission

Brisbane, Australia

In this role I led an interdisciplinary team to design, develop and commercialise an integrated battery energy storage and solar PV product that leveraged advances in machine learning and statistical modelling to operate the system in a financially optimised manner to reduce customer electricity costs. Value add products were developed to enhance customer experience including a product that analysed historical electricity consumption, billing data and budget to design the best solution for the customer which proved to be a key driver in managing relationships, expectations and sales.Duties:- Direct communication with customers and sales- Developed real-time and self-adapting customer level electricity consumption and solar PV forecasting algorithms- Developed a control system that governed the charging and discharging of battery banks with an objective of commercial building peak load reduction and electricity bill reduction- Developed data collection and storage framework- Product sizing and solution analytics software that relied on customer electricity, billing and budget data- Managed a multidisciplinary team Additional:- Predictive and forecast modelling- Time series and Fourier analysis- Control system development- Data modelling- Database development and administration- Front end and back end software development- Bespoke software development

Gold Coast Area, Australia

Duties:- Merged and statistically analyzed empirical data, consumer questionnaires and qualitative consumer transcripts to create consumer segment and models for governmental bodies- Wrote bespoke datamining algorithms- Conducted bespoke statistical analyses- Provided programming and statistical analysis assistance to research fellows and PhD candidates

Gold Coast Area, Australia

Duties:- Performed statistical analysis on consumer data to identify the key determinants for predicting the degree of water consumption throughout the home- Used multivariate non-linear regression and neural networks to developed a household level water end-use prediction model- Developed a GUI software application which integrated water end-use prediction models for the purpose of being used by governmental bodies to influence policy and planning operations- Provided programming and statistical analysis assistance to research fellows and PhD candidatesBennett, C., Stewart, R. A., & Beal, C. D. (2013). ANN-based residential water end-use demand forecasting model. Expert Systems with Applications, 40(4), 1014-1023.

Doctor Of Philosophy (Ph.D.), Engineering

Developed a pattern recognition based technique for forecasting load in residential low voltage distribution networks and an energy.

Bachelor Of Engineering (Honours 1), Honours 1

Activities and Societies: - Recipient of engineering honours scholarship.