Creating true business value from customer data - swiftly and efficiently through deep technical knowledge and innovation.➤ Team lead developing revenue and resource demand forecasting for one of the big four consulting firms in the USA, optimizing their most volatile department to operate more efficiently.➤ Team lead developing market adjacent medical data products for one of the largest South African Health Tech firms.

Develop a leading fintech lending platform as a service to bring capital to the financially excluded all over Africa➤Drive the analytics vision to build a scalable big data function operating over billions of events and serves the entire organisation➤Construct the framework for innovation and facilitate its use for the data & prediction Exco Lead + innovative individuals to aid the company's growth strategy ➤Promote a laser product focus to bring data driven decision making to business managers & the organisation (customer, partnership, prediction, finance, +) to enhance monthly revenue, lifetime value, stability, customer satisfaction & growth➤Design & execution of experiments through A/B tests on existing & new products➤Operate across multiple territories, partners (banks & mobile networks), products, to deliver for millions of monthly active users, (130M+ loans to 20M+ individuals) ➤Using a learning framework to capture analytics insights, with a peer review process allowing team members to reference & support their thinking (like a researcher would do) enhancing data driven decision making & trust➤Applying statistical modelling, stochastic processes, machine learning, and simulations for time series forecasting, enhancing decision quality, predicting impact ranges of product changes, uncovering & segmenting client behaviours and identifying pain points & risks➤Make learnings available through a searchable site, and build dashboards (from basic KPIs to technical deep dives) to allow for self service analytics for the entire organisation➤Manage the roadmap, tasks, and priorities of a highly technical analytics function consisting of team members across the entire data spectrum (analytics, scientific, & engineering)➤Leading from an extreme ownership, high trust, mentor / mentee relationship - viewing the employee through a holistic lens➤Execute & run team meetings, cross company sharing sessions, business owner sit-ins, and retrospective sessions

➤ Deep data analytics to aid portfolio, and asset managers in making data driven decisions, and provide statistical confidence (or risk) to the business problem and its possible solutions.➤ Client behavioral analytics to gain an extensive understanding in how the product is used, and which behaviors lead to predictable client performance outcomes.➤ Machine learning and visualization to build insight into our massive datasets.➤ Develop learnings to guide strategy and product development.➤ Innovate, question the status quo, find contradictions, and raise non-obvious questions. ➤ Guide a small team of Data Scientists to enhance technical quality, ability and R&D outcomes.➤ Anomaly detection to discover and address spurious behavior (either through better product fit or declines).

Data Science system owner for the Haraka unsecured mobile loans product.➤ Developed a modern data pipeline starting from the android app on the client's phone, through an API into our systems to features stored in our database. This pipeline allowed for realtime scaling to deal with load fluctuations, data cleaning, pre-processing and feature computation. The pipeline significantly reduced operating costs, made the system easier to service and improve through modularity, while maintaining the 5 second upper limit between applying for a loan and getting a qualifying response.➤ Used deep dive data analytics to translate data into actionable business insights. Identified a fraud ring that was costing the company upwards of a R1m per month, and used that analysis to develop features and algorithms that halted the fraud completely (using a combination of graph databases and machine learning models). ➤ Developed a dashboard and internal system probes that monitor trends and real-time metrics of Machine Learning model performance, data drift, text parser staleness, anomalous activity, fraudulent client behavior, system error rates, and traffic. This reduced our response time to system issues from months (when a client noticed and reported it) to days.

Projects:➤ New system design of a reactive radar jammer that surveys the electromagnetic environment, measures signals within the environment, determines the threat of the emitter as well as its location, classifies the emitter and applies state of the art counter-measure techniques. Additional experience:➤ Team member (8 individuals) of business area (50+ individuals) strategy focus group.➤ Team member (12 individuals) of competency area (100+ individuals) technology innovation leadership team.➤ Engineering tech lead on international proposals and client negotiations.➤ Business product analysis, stakeholder needs and requirements solicitation, requirements analysis, system architecture design, design definition, systems analysis, implementation, sub-system integration, performance verification and validation.

Projects:➤ Researching, developing, implementing, and testing statistical radar clutter simulation for embedded platforms. The key challenges here are to translate complex physics equations optimally to a quantized processing platform, managing tradeoffs between latency, accuracy, throughput, configuration and response time.➤ Design of sensor digital front end processing subsystem, a radar pulse deinterleaving subsystem, and a radar classifier.➤ Collecting and analyzing large amounts of field data.➤ Translating complex concepts into clear and simple explanations for communication with team members, managers and clients.Achievements:➤ 9 IEEE peer reviewed conference publications.➤ Outstanding paper award (co-author), IEEE Africon 2017.➤ Emerging researcher award 2016 within business unit (400+ individuals).➤ Industry supervisor for 3 Masters degree students, and mentor for fellow engineers.➤ 10+ years scientific programming experience.

➤ Designed and implemented a real time, hardware in the loop radar clutter environment simulator on a wideband digital RF memory platform. The design increased the number on scattering points by 4x, and the range extent of the scattering points by more than 10x utilizing the same resources as before.

Holiday training internships:2008 ➤ Design of tests to determine the accuracy of RCS (radar cross section) prediction software.2007 ➤ Junior developer of ray-tracing software with the application of RCS (radar cross section) prediction.2006 ➤ Development of visualization and playback software in Matlab for large radar recorded datasets.