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Data Scientist Machine Learning

Location:
Pretoria, Gauteng, South Africa
Posted:
September 23, 2024

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Resume:

Gustav Oosthuizen

Data Scientist & Industrial Engineer

Data scientist with an engineering background and four years of expertise in machine learning algorithms, data analysis, and dashboard creation. Proficient in artificial intelligence and predictive modelling with a proven ability to develop intelligent solutions for business challenges. Skilled in data analysis, creating informative data visualizations, and presenting information to effectively communicate complex results to stakeholders.

***********@*******.***

+125-****-**** (USA)

+27-802-***-**** (ZAR)

www.linkedin.com/in/

gustavoos88

WORK EXPERIENCE

Consulting Data Scientist

CoGo Data (Pty Ltd)

02/2020-Present Cape Town, South Africa

Achievements/Tasks

Successfully designed and implemented interactive dashboards using Google's Looker platform for a medical information system company, which were implemented across 35+ laboratories across Namibia. Developed a tool for optimizing business processes. Using R-Shiny, client data reports were automatically generated. The automation reduced time in generating client reports from two days to less than five minutes. Created and managed Tableau dashboards for a retail marketing company in South Africa. This enabled the data analysis of over 35000 stores nationwide. Developed a machine learning model to predict the service cost for specific types of semi-trucks. The baseline artificial intelligence model demonstrated a 43% improvement in accuracy compared to the current system. Delivered data-driven solutions for a fast-food chain with over 300 stores in South Africa. One solution was an optimised sales forecasting model to predict sales figures across all stores nationwide. Implemented a range of machine learning algorithms to achieve the result.

Industrial Engineer

United Crop Solutions (Pty) Ltd

04/2022-Present Pretoria, South Africa

Achievements/Tasks

Analysed the data from international suppliers to inform purchasing decisions. Responsible for reporting, and overseeing business processes. Specifically inventory movement and logistics optimization.

Engaged in multiple brainstorming sessions with clients to determine innovative sales strategies.

EDUCATION

Bachelor of Engineering - Industrial

University of Stellenbosch

02/2016-12/2019 Stellenbosch, South Africa

Master of Science - Data Science

University of Cape Town

02/2020-12/2023 Cape Town, South Africa

SKILLS

Artificial Intelligence

Machine Learning

Predictive Modeling

Dashboard Creation Looker

SQL Data Visualisation

Tableau HTML CSS

JavaScript TensorFlow

Data Analysis Python R

Analyse Business Processes

Gather Business Requirements

Communication Teamwork

Problem-solving Leader

Attention to Detail

Critical Thinking

ACHIEVEMENTS

Golden Key Award

(04/2024)

Awarded to top 15% of students in

their field of study.

Graduated Cum Laude

(12/2023)

Applicable to coursework of

masters degree.

LANGUAGES

English

Full Professional Proficiency

Afrikaans

Full Professional Proficiency



Contact this candidate