Enxi Peng Email & Phone Number

Melbourne, Victoria, Australia

Melbourne, Australia

Part of Accenture's Data & Applied Intelligence Practice.Assignments:Digital Data Engineering Practitioner – Leading Japanese Telecommunications Carriero Empowered client to turn data into action, by gathering, analysing and modelling client data to enable smarter decision makingo Used a board set of analytical tools and techniques to gather, analyse and model client data, resulting in detailed quantitative & qualitative business insights (Utilising: Python/Pandas, Airflow, Postgres, ELK Stack)o Worked with clients and vendors to integrate systems and data quickly and effectively, regardless of technical challenges or business environmentso Drove KPI uplift initiatives stemming from data insights which greatly improved process & data compliance and SLA targetso Created value chains to address data acquisition challenges from multiple sources o Defined and administered industry best practices for testing architecture, methodologies, processes & toolsVirtual Agent Consultant – Leading Australian Financial Instituteo As a Release Manager, overseen the end-to-end delivery of enterprise virtual agent solutiono As a Product Owner, drove the vision of the virtual agent solution Conversational AI UX designo Microservices technical architecture solutioning and designo Data Discovery, Cleansing, Interpretation & Correlationo Coaching clients to be self-sufficient in various aspects of virtual agent delivery, including but not limited to conversational UX design, virtual agent continuous learning & improvement, and use case discovery

Melbourne

Computational Modelling of Intermolecular Interactions between Graphitic Nanoparticles and Biomolecules

Master Of Engineering, Computational Biology

Bachelor Of Engineering (B.E.), Chemical And Materials Engineering, Honors

Activities and Societies: NZCSA - New Zealand Chinese Student Association AUES - Auckland University Engineering Society AUSA - Auckland.

Machine Learning Engineer, Artificial Intelligence

Software Engineering Fundamentals & Best Practice Principles Machine Learning in Production | AWS Sagemaker Machine Learning, Case Studies.

Applied Machine Learning, Machine Learning

Microsoft: Applied Machine Learning Time Series Forecasting Spatial Data Analysis Text Analysis Image Analysis