Experience

QIS Capital

• Cayman Islands
• Financial Services
• 1 - 100 Employee

• Senior Director of Technical Delivery

  • Jun 2021 - Present

  Bridging the gap between research and engineering teams in order to productionalize the world's best cryptocurrency quant trading strategies.Responsibilities include...Projects & People:- Project Management - Sprint Ceremonies- People Management (OKRs, goal setting, reviews, etc.)- Recruitment: writing JDs, screening and interviewing candidates- Career Ladder Development- High-Performance Team Culture Development Company Wide:- Decision Making with Respect to Company Direction- Company-Wide Communication Planning and Delivery- Working closely with the C-Level Executives Hands-On Quantitative Research:- Idea Generation and Research Design- Alpha Development, Backtesting, and Deployment- Critical Research Reviews and Risk Management Python Development:- End to End Development of Trade Execution Software- Integration with REST APIs- OOP- Unit Testing- Work closely with QA to Facilitate TDD- Work closely with Engineers on Software Design- Driving Continuous Best Practice Development



Sertis

• Thailand
• IT Services and IT Consulting
• 100 - 200 Employee

• Manager and then Senior Manager of Artificial Intelligence Research

  • Jun 2019 - May 2021

  Managing managers of a team of 40+ researchers and scientists. AI and software best practice and robust research process implementation. Team management including: OKR setting, performance review, salary adjustment, and etc. Responsible for directing the AI and data science team with respect to research areas and technologies, data and model toolchain, AI best practice, software best practice, ways of working (e.g. agile, scrum).Company wide strategic decision making: working with executive team to develop and execute corporate strategy. This includes, portfolio of services directives, strategic partnership alliance and product steering.

• Senior Data Scientist

  • Sep 2016 - Jun 2019

  COMPUTER VISION: face identification and verification, object detection (shelf analytics) , customer profiling (age, gender, emotion etc.), livestock monitoring (heat maps, behaviour analysis and alerts), Vehicle make, model and number plate recognition



AO

• United Kingdom
• Retail Appliances, Electrical, and Electronic Equipment
• 700 & Above Employee

• Data Scientist

  • Jul 2015 - Sep 2016

  Development of data driven paid search modelPropensity to buy predictionWarehouse optimisation using genetic algorithmsA/B testingStaff training - R, statistics, machine learning Development of data driven paid search modelPropensity to buy predictionWarehouse optimisation using genetic algorithmsA/B testingStaff training - R, statistics, machine learning



webuyanycar

• United Kingdom
• Motor Vehicle Manufacturing
• 400 - 500 Employee

• Commercial Manager

  • Aug 2014 - Jul 2015

  Predictive Modelling• Broadcast (TV / Radio) spend optimisation modelling• Development of MLP Neural Network for market share prediction• Market share model sensitivity / scenario testing using python• Pricing model enhancements – Netherlands and UK • Stepwise multiple linear regression model to predict quotes• C&R Tree model to predict customer appointments booked• Association modelling - prediction of customers next step and attribution to marketing channel• Integration of SPSS with R for enhanced model developmentData Visualisation• Use of R to produce enhanced data visualisations (e.g. correlation plots and decision tree visualisations)• Use of Geographical Information System (QGIS) for retail estate location optimisation• Advanced visualisations in excelStaff Management• Staff recruitment, CV selection and interviews• Staff management; performance reviews, bonus allocation• Staff training – SPSS, Excel and Excel VBA



Auto Trader UK

• Software Development
• 700 & Above Employee

• Data Analyst

  • Jun 2013 - Jul 2014

  Customer Segmentation• Factor/Principal Component Analysis • Cluster analysis (Two Step, k-means, Kohonen)• Development and deployment of information delivery framework to embed segmentationPredictive Modelling• Decision Trees and Regression models• Gain and lift analysis and data boosting/reducing• Accuracy testing and model performance evaluationRecency, Frequency, Monetary (RFM) Analysis• Calculation of RFM metrics to identify customers that; 1) Spent recently, frequently and spent a lot; 2) are infrequent buyers but spend a lot; 3) are infrequent buyers and spend little; 4) spent recently, frequently and spent a littleAssociation Modelling (Apriori / Carma / Sequencing Model)• Use of associations models to explore product up-sell/cross-sell opportunities; use of sequencing models for product purchase predictive modelling and to reduce customer churnKPI Reports and Dashboards• Automated KPI reports using IBM Cognos (query studio)• Semi-automated reports and dashboards in MS Excel (VBA)



Sinclair Knight Merz

• Australia
• Civil Engineering
• 400 - 500 Employee

• Consultant

  • Jan 2012 - Jun 2013

  Development of highly complex forecasting and predictive excel models (typically based on regression analysis) to assess the impact of strategy change on future revenue. Models allow the user to adjust inputs using Active X-controls allowing for strategy comparison and scenario testing. Developing and delivering excel VBA based applications, including a software package for assessing predictive model performance (comprising metrics such as normalised mean square error, fractional bias and geometric variance), automated bespoke KPI reports (e.g. for Weetabix, Morrisons, Tescos, Coca-Cola) and various VBA based solutions for repetitive excel tasks. Development, maintenance and delivery of paid for excel (VBA) add-ins. Issuing of licenses for such products and ensuring the security of intellectual property through the use of Lock XLS software.