Andrew Clayphan Email & Phone Number

Brisbane, Queensland, Australia

Led the Data Science team research and development capacity to improve and inform on student outcomes. More than 35 projects successfully delivered across 10 business units.Selected achievements:- Designed from scratch, a fast, time and money-saving parallel-backed heuristic powered entity matching engine (currently used for matching Student/TAFE data across disparate systems).- Invented an at-scale clustering system to power on-demand differentiated learning for… Show more Led the Data Science team research and development capacity to improve and inform on student outcomes. More than 35 projects successfully delivered across 10 business units.Selected achievements:- Designed from scratch, a fast, time and money-saving parallel-backed heuristic powered entity matching engine (currently used for matching Student/TAFE data across disparate systems).- Invented an at-scale clustering system to power on-demand differentiated learning for teachers utilising NAPLAN and Check-In Assessments.- Built an optimized forecasting system which powered simulations for the School Planning Assistance Tool for School Infrastructure NSW (winner of the 2018 Chief Data Analytics Officers Award)- Created multiple tools to analyse a large dataset of web logs (~22 billion rows) to identify patterns of student ICT usage associated with higher attainment.- Developed a feature rich thematic analysis suite of tools to aid with tagging, monitoring and understanding survey data to improve customer service for a business unit.Technology Stack: Python, R, Shiny, SQL Server, PowerBI, Databricks, Hive, Impala/Hue, Javascript, Azure ML. Show less

Led the Data Science team to provide solutions centered around UNSW's expansion into the Massive Open Online Courses space.Selected achievements:- Created the data infrastructure, pipelines, scripts, ETL and so on which served to enable dashboards to be built to report and understand MOOC course designs across 9 faculties.- Worked closely with the Coursera (USA) and FutureLearn (UK) platforms to expose Learning Analytic opportunities to instructors.- Published 9… Show more Led the Data Science team to provide solutions centered around UNSW's expansion into the Massive Open Online Courses space.Selected achievements:- Created the data infrastructure, pipelines, scripts, ETL and so on which served to enable dashboards to be built to report and understand MOOC course designs across 9 faculties.- Worked closely with the Coursera (USA) and FutureLearn (UK) platforms to expose Learning Analytic opportunities to instructors.- Published 9 research papers across various Data Science and Learning Analytics outlets.- Ran the summer internship program in conjunction with the CSIRO Machine Learning group.- Upskilled members of the team in the areas of Python, SQL, and Human-centered design.Technology Stack: Python, Selenium, R, Shiny, MySQL, Postgres, Cassandra, MongoDB, Tableau and SAS.Served as an Adjunct Senior Lecturer in the School of Computer Science and Engineering (Aug 2016 - Sept 2019). Show less

School of Information Technologies and the (Architecture) Design LabTaught the following:- COMP5212 Software Construction - COMP5047 Pervasive Computing - DECO3100 Information Visualisation Design Studio Technology Stack: Python, Perl, Android, Java, Processing.

School of Computer Science and EngineeringTaught the following:- COMP3421 Computer Graphics - COMP1927 Higher Data Structures and Algorithms - COMP9319 Web Data Search and Compression - COMP4317 XML and Databases - SENG4921 Professional Issues and Ethics - COMP3141 Software System Design and Implementation - COMP3111 Software Engineering - SENG2010 Software Engineering Workshop 2A - SENG2020 Software Engineering Workshop 2B Technology Stack:… Show more School of Computer Science and EngineeringTaught the following:- COMP3421 Computer Graphics - COMP1927 Higher Data Structures and Algorithms - COMP9319 Web Data Search and Compression - COMP4317 XML and Databases - SENG4921 Professional Issues and Ethics - COMP3141 Software System Design and Implementation - COMP3111 Software Engineering - SENG2010 Software Engineering Workshop 2A - SENG2020 Software Engineering Workshop 2B Technology Stack: Python, Java, C, C++, MySQL, Bash. Show less

Applied machine learning techniques toward the problem of targeting larger-than-gene array structures in DNA sequences towards advancing the start-of-the-art for cancer research. Work published to the Oxford Journal of Bioinformatics. Technology Stack: C, C#, Java, Perl, Python, BLAST, Grid Engine (qsub), C-shell Scripting.

Two year cadetship program (software engineering cohort). Rotations: Helicopter Systems Division and the Electronic Systems Integration Branch.Technology Stack: SQL, VBA, DXL (proprietary language for IBM Rational DOORS).

Doctor Of Philosophy (Ph.D.), Computer Science

Activities and Societies: Sydney University Postgraduate Society (SUPRA), National Computer Science School, IEEE Student Branch, Faculty.

Certificate In Data Science

Areas of interest: Big Data; Statistics; Machine Learning; Algorithms; and Natural Language Processing - 1st place in: Introduction.

Bachelor Of Engineering - Be, Software Engineering, The University Medal And Honours Class 1

Activities and Societies: ACM Student Chapter; Computer Science & Engineering Student Representative; and the Software Engineering.

Graduate Certificate In Innovation And Enterprise

Areas of interest: Business Strategy; Startups; and Intellectual Property - 1st place in: Intellectual Property Management. - 2nd place.

Bachelor Of Commerce - Bcom, Finance, Pass With Distinction

Areas of interest: Financial Modelling for Options, Futures and Derivatives; Interest Rate Risk Management and Investment Management.