Gordon Botha

Gordon Botha Email and Phone Number

VP: Cloud Infrastructure and Predictive Analytics @ Backd Business Funding
Christchurch, NZ
Gordon Botha's Location
Christchurch, Canterbury, New Zealand, New Zealand
Gordon Botha's Contact Details

Gordon Botha work email

Gordon Botha personal email

n/a
About Gordon Botha

I am a pragmatic Lead Data Scientist with 15 years' managerial and technical experience in various industries and across various disciplines. I also have extensive Data Engineering and Technical Product Management experience. I have worked in Telecoms, Fintech, Health Care, Epidemiology, Investment Management, Immunology, Bioinformatics and have spent many years running my own businesses.I am specialised in cloud-technologies, end-to-end machine learning pipelines and big data. I am well-versed in all the major platforms (GCP, AWS and Azure) having built end-to-end pipelines in each of them.My passion is bridging the gap between machine learning and business requirements, making sure that data science / engineering projects deliver actual business value. I have a lot of experience in Management and I have a solid understanding of the technical requirements of Machine Learning, Data Engineering, Data Warehousing and Data Governance; paired with business understanding of deliverables that provide a competitive edge to the business within budget and in a timely manner.I hold degrees in: BSC Actuarial Science, BSc (Hons) Mathematical Statistics and an MSc Computer Science.

Gordon Botha's Current Company Details
Backd Business Funding

Backd Business Funding

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VP: Cloud Infrastructure and Predictive Analytics
Christchurch, NZ
Gordon Botha Work Experience Details
  • Backd Business Funding
    Vp: Cloud Infrastructure And Predictive Analytics
    Backd Business Funding
    Christchurch, Nz
    View
  • Backd Business Funding
    Vp: Cloud Infrastructure & Predictive Analytics
    Backd Business Funding Jul 2024 - Present
    Austin, Texas, United States
    Backd.com is a B2B lender with multiple awards and accolades under its belt. Our focus is enabling "the man in the arena" (see https://youtu.be/A311CnTjfos), helping them make things happen for their business. At Backd I look after our cloud infrastructure, data engineering and predictive analytics.
    View
  • Woolworths New Zealand
    Mle Team Lead | Lead Data Scientist
    Woolworths New Zealand Jun 2023 - Jun 2024
    New Zealand
    Woolworths is one of the largest retailers in Australia & New Zealand, with a $7.5B turnover in 2023 in NZ alone. At Woolies, I was the Lead Data Scientist, as well as the team lead for Machine Learning Operations (NZ). I reported into the Chapter Lead for Data Science. I worked on projects in the customer loyalty, automation and LLM special projects. I also developed the long term strategy for the ML Ops team.
    View
  • Simple Machines
    Principal Consultant: Machine Learning
    Simple Machines Apr 2022 - Jun 2023
    Christchurch, Canterbury, New Zealand
    Simple Machines is a specialist firm of expert consultants, data architects and software engineers building the next generation of data driven organisations, frameworks and software. They have offices in Christchurch, Sydney and London.At SM I consulted on Data Engineering / Data Science projects for Telecoms, Mining and Financial Services companies.
    View
  • Biosave Industries
    Managing Director
    Biosave Industries Apr 2016 - Mar 2022
    Pretoria, Gauteng, South Africa
    Exports company with operations in South Africa, USA & Canada. Development of BioGas prototypes for poultry industry.I was one of the MDs of the company and handled various aspects of the operations cycle, such as marketing, product customisation and financials.
  • Vodacom (Vodafone) South Africa
    Senior Specialist, Data Science: Big Data & Ai Lead
    Vodacom (Vodafone) South Africa Nov 2019 - Nov 2021
    Cape Town Area, South Africa
    Vodacom (Vodafone South Africa) has a client base of over 55 million customers, generating billions of data points per day. At Vodafone, I led and developed on projects in customer operations, cloud infrastructure development and big data analytics. The predominant technologies that I used on a daily basis were SQL, python, spark and h2o.ai, deployed on AWS/Hadoop.
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  • Jumo.World
    Senior Data Scientist | Head Of Data Science
    Jumo.World May 2017 - Oct 2019
    Cape Town
    JUMO (www.jumo.world) is a 100% cloud-based (AWS), full technology platform for building and running financial services. Jumo has dispersed more than 120+ million financial products via mobile payment infrastructure, with a value of more than $3.5 Billion, to 19 million customers (with 100 million potential customers on book).I initially joined JUMO as a Senior Data Scientist, and was later promoted to the Head of Data Science. The team handled aspects such as take up, churn, experimentation (A | B testing) and simulation.Jumo was an extremely fast growing start-up and so I was pulled into projects in a variety of disciplines. Besides the usual data science function, I was involved in large data engineering projects, and training junior members of data science and data engineering in SPARK / AWS.Key Technologies used: SQL, python, SPARK, sklearn, ml-lib, R, AWS EMR, AWS Redshift, AWS Sagemaker, Superset, jupyter notebooks, simpy
    View
  • Uct Institute Of Infectious Disease And Molecular Medicine
    Manager: Bioinformatics | Data Science
    Uct Institute Of Infectious Disease And Molecular Medicine Apr 2013 - May 2017
    The Institute of Infectious Disease and Molecular Medicine was established in 2004 as a cross-faculty postgraduate research institute based within the University of Cape Town (UCT).I managed the data science / bioinformatics function for an exceptional research unit aiming at developing an HIV Vaccine based on superinfection events. The team handled all data-related functions, from raw data storage, ingestion, clustering, modelling, simulation and publication ready visualisation.Our work led to publications in NATURE MEDICINE & VIRUSES.Key Technologies used: python, AWS, R, django, sklearn, pandas, matplotlib, seaborn as well as a suite of Bioinformatics algorithms (blast, galaxy, ngs, 454)
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  • Salientquants
    Data Science Consultant
    Salientquants Feb 2014 - Nov 2014
    Cape Town, Western Cape, South Africa
    I was contracted to build a portfolio solver for an investment management company that had outgrown its technology stack. Key Technologies used: python, sympy
  • Clearspark
    Founder / Director
    Clearspark Oct 2011 - Feb 2013
    Predictive Analytics consulting business. We serviced a number of varied contracts to enable one of the directors to develop our data product framework, and also to hire additional employees into the firm. We had contracts in Health Insurance claims prediction, designed and built a global blood sample management database for HIV samples spanning across multiple sites and multiple countries and epidemiological analysis of the HIV pandemic in Swaziland.Key Technologies used: python, django, sklearn, R, SQL
  • South African Centre For Epidemiological Modelling And Analysis
    Data Science Consultant
    South African Centre For Epidemiological Modelling And Analysis Dec 2011 - Jan 2013
    Stellenbosch, Western Cape, South Africa
    SACEMA was part of a multi-international group of stakeholders that took part in a Treatment as Prevention Program in Swaziland to help combat the HIV epidemic there. The group was managed by STOP AIDS NOW, with Clinton Health Access Initiative (CHAI), the CDC and the Ministry of Swaziland being the other major stakeholders.My role was to do epidemiological modelling for SACEMA and to maintain relationships with the key stakeholders above. I travelled to Swaziland almost every 6 weeks to report on findings and attend strategic sessions and health conferences.Key Technologies used: python, matlab, SQL, git, partial differential equation solver libraries.
  • Cpgr
    Bioinformatics Consultant
    Cpgr Jan 2011 - Jan 2012
    Advanced bioinformatics analysis on peptide microarray experiments. The work consisted of an end-to-end data analysis pipeline in python and R, with applied image recognition algorithms to detect signals in image data from the microarray results.Key Technologies used: python, R, applied image recognition algorithms
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  • Yila Consulting
    Software Engineering Consultant
    Yila Consulting Jan 2010 - Jan 2011
    Cape Town, Western Cape, South Africa
    Yila Consulting was a small software engineering consultancy. I was a software development consultant and worked on a range of projects in python and javascript. Key Technologies used: python, javascript
  • Alphabad Broilers
    Financial Administrator
    Alphabad Broilers Jan 2006 - Dec 2008
    Pretoria, Gauteng, South Africa
    I ran payroll and tax for a large farm (part time) for an income during my undergraduate studies.

Gordon Botha Skills

Bioinformatics Data Analysis Statistical Modeling Software Engineering Python R Django Sql Pandas Django Statistics Microsoft Sql Server Winbugs Beast Jags Epidemiology Molecular Biology Genomics Science Genetics Research Microarray Analysis Programming Data Science Apache Spark Hadoop Aws Emr

Gordon Botha Education Details

Frequently Asked Questions about Gordon Botha

What company does Gordon Botha work for?

Gordon Botha works for Backd Business Funding

What is Gordon Botha's role at the current company?

Gordon Botha's current role is VP: Cloud Infrastructure and Predictive Analytics.

What is Gordon Botha's email address?

Gordon Botha's email address is go****@****m.co.za

What schools did Gordon Botha attend?

Gordon Botha attended University Of Stellenbosch, University Of Pretoria/universiteit Van Pretoria, University Of Pretoria/universiteit Van Pretoria, Pretoria Boys High School.

What are some of Gordon Botha's interests?

Gordon Botha has interest in Animal Welfare, Environment, Science And Technology.

What skills is Gordon Botha known for?

Gordon Botha has skills like Bioinformatics, Data Analysis, Statistical Modeling, Software Engineering, Python, R, Django, Sql, Pandas Django, Statistics, Microsoft Sql Server, Winbugs.

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