Louis Pienaar
Data Science
Pretoria,GP
Summary
Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems.
Overview
15
15
years of professional experience
Work History
Principal Data Scientist
Nedbank
1 2018 - Current
- Use case lead for key data science projects
- 6 key use cases running in production
- Fraud detection – Preventing 3M US$ in fraudulent transactions per month
- Planned, developed and implemented a full stack in-house data science platform (Nedson) (>100 users)
- Introduced and got approval for 2 new data science patterns in the bank
- Positioned, evaluated and implemented Graph Database technology for the enterprise
Data Scientist and Department head
MMI Holdings
01.2009 - 01.2018
- Setting up and growing the core data science team (6 senior data scientists)
- Responsible for all client related insights in MMI
- Maintaining monthly key analytics for 7.2 million clients
- Built and implemented the first machine learning process for MMI.
Education
Master of Science - Applied Data Science
University of Michigan
Michigan, US 04.2001 -
Self-driving Car Engineer Nanodegree -
Udacity
2018
BCom - Calculus, Algebra, Statistics
University of Pretoria
Skills
Python
Databases (SQL, NoSQL, Key-Value, Graph)
Machine Learning
Natural Language Processing
Big Data Analytics
Graph Theory
Feature Engineering
AWS
Azure
Kubernetes
Data Science Skills
Python, R, SQL, Javascript, TensorFlow, Kubernetes, AWS, Flask, Docker, Jupyterhub, Linear Algebra, Advanced statistics, Linux, Redis, MongoDB, Kafka
Timeline
Data Scientist and Department head
MMI Holdings
01.2009 - 01.2018
Master of Science - Applied Data Science
University of Michigan
04.2001 -
Principal Data Scientist
Nedbank
1 2018 - Current
Self-driving Car Engineer Nanodegree -
Udacity
BCom - Calculus, Algebra, Statistics
University of Pretoria