As a strategic and hands-on Data Scientist with 7 years of experience, I excel at translating complex data into end-to-end solutions that deliver real-world business value on time and within scope. I am a critical thinker, with the core belief that the best solution is one the end-user adopts and uses. I thrive on solving core business problems, whether driving revenue, optimizing costs, or informing global strategy—by building thoughtful, sustainable tools that consistently meet critical deadlines. Currently at AB InBev as a Data Scientist, I leverage advanced machine learning on the Databricks platform (Python, SQL) to directly influence commercial performance. My work on propensity models and partner data visibility is defined by translating business needs into timely, actionable insights, ensuring solutions are delivered effectively to improve sales and generate significant efficiencies. My expertise is built on the foundation of rapid growth at Deloitte RADC, where my performance and ability to deliver high-impact projects on schedule led to accelerated promotions—to Assistant Manager in 2023 and Manager in 2024. I was appointed Lead of the Machine Intelligence team at Deloitte's RADC, where I directed the development of automation and business intelligence tools that were adopted globally. My leadership ensured these solutions balanced innovative technical rigor with strict end-user requirements, consistently delivering them on schedule to inform firm-wide strategy and client best practices. Earlier, as a Junior Data Scientist at Discovery, I honed this user-centric and delivery-focused mindset, building pioneering dashboards under tight deadlines to successfully mitigate fraud risk. Underpinned by a degree in Industrial Mathematics (with Financial Mathematics), I combine mathematical rigor with a focus on human-cantered design and reliable delivery. My career is a continuous journey of learning and improvement, dedicated to building solutions where technical excellence, user experience, and timely execution align to create undeniable business impact.
Kiroshen Govender
Summary
Overview
Work History
AB-Inbev via Zyberfox
Job overview
- Develop ML models (Python/SQL, Databricks) to enhance sales propensity & partner visibility, informing commercial strategy.
- Analyze and optimize existing data pipelines to improve performance, efficiency, and business impact.
- Collaborate with global teams to align data science initiatives with core revenue growth and cost efficiency goals.
- Reference: Stephan Botha (Digital insights lead), Tel: +27 76 410 4157
Deloitte & Touche
Job overview
- Spearhead the BI function by engaging with C-suite and operational stakeholders to align data solutions with organizational goals, define KPIs, and translate business challenges into actionable insights.
- Design and deploy scalable Power BI dashboards using SQL and DAX, architecting automated data pipelines (SQL/Python) to deliver enterprise-grade, self-service reporting that drives strategic initiatives.
- Led the development of a globally adopted dashboard solution, standardizing reporting across 5+ distribution centers to enhance cross-functional transparency and decision-making.
- Manage and mentor a junior analyst, fostering technical growth in SQL, DAX, and Power BI to build team capability and ensure the delivery of high-quality insights.
- Key technologies: Power BI, SQL, DAX, Python, Data Modeling, ETL Automation
- Reference: Millezanne Landsberg (Associate Director), Tel: +27 71 475 8913
Deloitte & Touche
Job overview
- Led risk analytics projects, designing SQL/Power BI dashboards to identify audit risks, reducing compliance gaps
- Automated data validation & reporting (Python/SQL), cutting manual effort for audit quality teams.
- Advised C-suite stakeholders on risk insights, enabling data-driven deadline & resource decisions.
- Key technologies: Power BI, SQL, DAX, Python, Data Modeling, ETL Automation
- Reference: Marzanne Manthey (Senior Manager), Tel: +27 83 272 0975
Deloitte & Touche
Job overview
- Use SQL, SSIS, Excel, R and Python for daily tasks, ad hoc analytics, and projects
- Lead developer for dashboards, models SQL, SSIS, and Power Bi
- Reference: Marzanne Manthey (Senior Manager), Tel: +27 83 272 0975
Discovery Ltd
Job overview
- Develop metrics, and models to help mitigate fraud in health, and cross company; using SQL, Excel, R and Python, Pyspark, Hue, Cloudera, Github.
- Create dashboards for the models and analytics using SQL, Power Bi, and R.
- Perform Rule based ad hoc analytics on company data for day-to-day investigations.
- Reference: Natasha Poulton (Development Manager), Tel: +27 11 529 7054
Old Mutual Financial Advisory
Job overview
▪ Advised clients on financial products that best meet their specific
needs, within their risk appetite
▪ Kept clients abreast of their financial portfolios performance
Education
University of KwaZulu-Natal
University Overview
- Modules: Mathematical Biology, Partial Differential Equations, General relativity, Cosmology, and Numerical Analysis.
- Thesis: Static Perfect Fluid Metrics in Isotropic Coordinates
University of KwaZulu-Natal
University Overview
- Modules: Financial Modelling and Application, Methods of Applied Mathematics, Linear Modules, Applied Statistics, Financial Mathematics, Advanced Differential Equations, Optimization & Optimal Control Theory, Tensor Analysis
- Institution: University of KwaZulu-Natal (Westville Campus)
- Achievements: Student Leader (Class Rep)
Mountview Secondary School
University Overview
- Subjects: English, Afrikaans, Mathematics, Information Technology, Engineering and Graphic Designing, Physical Science, Life Orientation
- Achievements: Student Leader (Prefect, Class Rep)
- Athletics: Soccer, Table Tennis, Volleyball, Cricket, Hiking
Skills
Advanced SQL (relational databases, query optimization)
Python programming for data science & production pipelines
Power BI (DAX, enterprise dashboard development)
Statistical analysis and data modeling
ETL & data pipelines (SSIS, Databricks, automation)
Machine learning & predictive analytics
Tools: R, SPSS, MATLAB, Java, Hue, GitHub, Microsoft Office
Design and delivery of globally adopted analytics solutions
Productionalised data products embedded in business workflows
End-to-end ownership from problem definition to deployment
KPI definition and executive reporting
Data-driven decision support for revenue, cost, and risk initiatives
Senior stakeholder engagement (C-suite & operational teams)
Cross-functional collaboration across global teams
Team leadership and mentorship
Project and delivery management under strict deadlines
Strong analytical and problem-solving capability
Strategic, critical, and innovative thinker
Excellent communication (verbal, written, documentation, presentation)
High attention to detail with strong organizational and coordination skills
Effective time management and ability to perform under pressure
Collaborative team player with ownership mindset
Personal Information
- Date of Birth: 21 December 1991
- Nationality: South African