Summary
Overview
Work History
Education
Skills
Timeline
Generic

Wesley Deelman

Data Scientist
Cape Town

Summary

B.Sc. Math and Stats graduate that is experienced in drawing insights from data, with techniques ranging from simple to complex. Worked across multiple industries such as the Market Research industry, Mobile Money industry,
Banking and Retail. The aim is to leverage data, in
order to support optimal decision-making.

Overview

11
11
years of professional experience

Work History

Data Scientist

Capitec
04.2024 - 04.2025
  • Connect RFM: Built a Connect RFM model using Connect transactional data. The idea behind a RFM is to provide a segmentation that ranks clients according to their engagement. Where there engagement is dependent on there scored percentile position, for Recency, Frequency and Monetary value.
  • VAS RFM: Built a RFM model for the value-added service of airtime. The steps taken to build this model/segmenation was the same as for the Connect RFM.
  • Connect potential audience: Essentially a lead generation engine that looks for non-users of connect that look like(in profile) high-usage customers of connect. The methodology involved building a Machine learning model, that predicted how likely someone was to be a higher quality client. High quality clients, not on the connect base, then would receive a treatment in an effort to onboard those customers to the connect product. This model was deployed using various AWS tools, most important of which is SageMaker.
  • Connect Churn Model: The connect churn model aims to identify "at risk" clients pre-emptively, by using a machine learning model that calculates the probability that someone might "churn".

Head of Data

DataDrive 2030
10.2023 - 03.2024
  • Ensured data quality throughout the entire production pipeline, utilizing comprehensive measures.
  • Build dashboards that give visibility on data quality.
  • Perform data engineering to prepare data for data products.
  • Led a team of professionals in executing data quality assessments, maintenance, and enhancements.
  • Successfully improved workflows through the implementation of automated tools and technologies.
  • Proactively researched and recommended innovative solutions to drive continuous improvement in data quality and workflow efficiency.

Senior Manager II (Data Scientist)

Massmart Holdings
07.2022 - 09.2023
  • Stakeholder engagement to identify problems and
    pain points, and to devise data driven solutions.
    Regular check-ins with stakeholders is conducted to
    ensure that delivery meets the clients needs.
  • Problem formulation and applying the appropriate
    Data Science solution. The solution could be as simple
    as a once off analysis or a complex machine learning
    model with a scoring pipeline. Converting the
    business needs of a client to a technical specification
    is an important part of the job, and has been done for
    all the projects that I have worked on.
  • Built a margin management tool, that shows the
    corresponding margins and quantities sold for a given
    price change. Have built a product quantity forecast to
    help plan the stock buying process as a part of margin
    management. The tool has been completely built and
    is being used by merchants to help set prices on
    important articles.
  • Built an Attrition model, that predicts the likelihood
    that a particular client would churn over a 3 month
    horizon. It will be used to have a proactive
    communication with the client rather than reactive.
  • Currently in the process of building a daily quantity
    forecast model that will be used to plan promotions
    more effectively. This will use SOA machine learning
    techniques as such as XGBOOST and LightGBM.

Data Scientist

Pepkor
04.2018 - 06.2022
  • Utilized advanced analytical techniques to extract
    meaningful insights from large datasets.
  • Collaborated with cross-functional teams to develop
    comprehensive solutions to mitigate risk in lending.
  • Continuously monitored model performance,
    identified areas for improvement, and implemented
    enhancements to ensure accuracy and scalability.
  • Proficient in developing state-of-the-art machine
    learning models.
  • Adept in monitoring and fine-tuning models to
    enhance their performance.
  • Skilled in deploying models on various platforms for real-world applications.
  • Demonstrated expertise in applying coding best
    practices to ensure top-quality project delivery.


Decision Scientist

Capitec Bank
05.2015 - 03.2018
  • Performed late stage recoveries analysis to identify
    opportunities that could increase revenue and
    improve performance.
  • Developed scorecards to monitor and evaluate key performance indicators, resulting in data-driven decision making.
  • Constructed the Book Evaluation Methodology to better assess and evaluate the intrinsic value of bad debtors books.
  • Constructed the Book Evaluation Methodology to better assess and evaluate the intrinsic value of bad debtors books.
  • Conducted exploratory data analysis to identify trends and patterns, providing insights that informed strategic business decisions.
  • Employed data analytics techniques to extract insights and guide business decisions with actionable intelligence.
  • Conducted statistical analysis to identify significant factors and trends, providing insights to optimize business performance.

Data Scientist

Zoona
04.2014 - 04.2015
  • Conducted statistical and data analysis for mobile money operations, utilizing Python and SQL to gather, process, and analyze large datasets.
  • Leveraged advanced machine learning techniques to prototype and develop accurate forecasting models.
  • Designed and developed Qlikview dashboards to visually communicate complex data insights to diverse stakeholders, including non-technical audiences.
  • Collaborated with cross-functional teams to identify, prioritize, and address critical business questions using data-driven insights. Proactively implemented data cleansing and validation techniques to continuously improve data quality and accuracy, ensuring reliable analysis results.

Education

Bachelor of Science - Mathematics And Statistics

University of The Western Cape
Bellville
04.2001 -

Skills

Python programming

Timeline

Data Scientist

Capitec
04.2024 - 04.2025

Head of Data

DataDrive 2030
10.2023 - 03.2024

Senior Manager II (Data Scientist)

Massmart Holdings
07.2022 - 09.2023

Data Scientist

Pepkor
04.2018 - 06.2022

Decision Scientist

Capitec Bank
05.2015 - 03.2018

Data Scientist

Zoona
04.2014 - 04.2015

Bachelor of Science - Mathematics And Statistics

University of The Western Cape
04.2001 -

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Wesley DeelmanData Scientist