Anda Supana
Senior Specialist: Data Science
Johannesburg
Summary
Motivated and disciplined Data Science professional with 11 years of experience in data analytics and insights. Led diverse projects in Telecommunications and Banking sectors, including Retail and Business Banking. Specializes in leveraging data-driven insights to support strategic decision-making, solve complex business challenges, and drive measurable growth. Plays key leadership role within data science teams, mentoring peers, shaping strategy, fostering innovation, and ensuring effective cross-functional communication to maximize the value organizations extract from their data through impactful initiatives.
Overview
11
11
years of professional experience
1
1
year of post-secondary education
Work History
Manager CVM: Data Analytics and Insights
MTN
07.2024 - Current
- Enhanced customer segmentation by integrating demographic and behavioral data, improving personalized campaign targeting and marketing efforts.
- Implemented machine learning algorithms to predict customer churn rates, informing proactive retention strategies that improved customer loyalty.
- Presented in-depth analysis of business trends and opportunities to executive leadership, shaping strategic decisions and driving company growth.
Senior Specialist : Data Scientist
MTN
01.2021 - Current
- Lead a team of data scientists and analysts to develop advanced machine learning models for predicting customer behavior as well as demographic ie age and gender
- Collaborating with cross-functional teams to identify key business questions and translated them into data-driven solutions, delivering actionable insights to stakeholders.
- Mentoring junior team members, providing guidance on best practices in data analysis, model development, and data visualization.
- Conducting thorough data preprocessing, feature engineering, and model selection to improve model performance and accuracy.
- Collaborating with the IT department to integrate predictive models into the company's operational systems, enabling real-time decision-making.
- Constructing models for external partners to facilitate external data monetization initiatives
- Presenting model results and insights to senior management in clear and concise reports, facilitating data-driven decision-making at all levels.
Specialist Campaign Modelling
MTN
01.2018 - 12.2020
- Unsupervised learning and Base Segmentation
- Propensity modelling
- Recommendation Engine
- Time Series Clustering
- Customer recharge prediction behavior
- CLTV (Customer Lifetime Prediction)
- Multi-Sim Prediction
- Data dropper Prediction
- Report Automation: Automation of Prepaid performance reports via
- Power BI
- Evaluate the financial and operational performance of prepaid consumers
- Feedback on model and campaign ROI results, with learnings and additional opportunities on enhancements to Manager
- Customer Insight Base Distribution & Lead generation
- Feedback learnings and potential enhancements where applicable to increase ROI.
Modelling Specialist
Wesbank
01.2016 - 01.2017
- Economic Capital Modelling
- Calculation of Fair Value
- Data modelling and monitoring focus areas include: (PD, LGD, EAD)
- IAS39 and IFRS9 modelling
- Annual ICAAP (Internal Capital Adequacy Assessment Process) and
- Stress testing (Credit Cycle Adjusted Probability of Default Models)
- Portfolio Risk Appetite
- Pricing Risk Monitoring, Reporting and Identifies and escalates potential risks that may lead to increased costs
- Assists with initiatives that enhance general credit risk awareness and empowers stakeholders to understand, support and effectively implement credit risk solutions
Credit Risk Analyst
ABSA
01.2014 - 12.2015
- Develop data driven strategies within the Business Bank Analytics team
- Proactive Risk Identification (Forecasting and Stress Testing)
- Identify any data anomalies/trends and investigate possible causes for these.
- If necessary, suggest possible remedies for these anomalies to the portfolio's Management Team.
- Develop several alternative profitability strategies based on an analysis of the data and risk criteria available.
- Document possible alternative strategies and their impact on the business (i.e Champion/challenger)
- Obtain buy-in from all stakeholders (e.g CVM and portfolio Management Teams) by communicating the strategy verbally to both technical and non-technical audience
- Liaise with the CVM capability team to ensure that the strategy is correctly implemented and that the timelines are within acceptable standards
- Execute unit testing (if required) to ensure that the proposed strategy is correctly implemented in the credit scoring systems
- Implementing risk minimization strategies
- Maintain and modify all analytic models in use
- Basel Committee Banking Supervisor (BCBS239) Change Facilitation
- Automation (Qlikview, VBA and SAS) Vacation work at ABSA Towers, Maintain and modify Liquidity Risk
- Models Vacation work at ABSA Towers West 2011 Liquidity
- Department: Maintain and modify Liquidity Risk Models.
Education
MSc - Quantitative Risk Management
North West University
North West South Africa12.2013
B.Sc: Honour - Quantitative Risk Management
North West University
North West South Africa12.2012
B.Sc Business Mathematics And Informatics - Business Mathematics and Informatics
North West University
Johannesburg South Africa12.2011
Professionals (GARP) -
Global Association of Risk
Johannesburg South Africa 01.2012 - 01.2013
Skills
- Statistical modelling and Machine Learning)
- Team Building and coaching, project management )
Technical & Analytics Expertise
Leadership and Team Management
- Translating Business Problems to Data Solutions
- Storytelling with Data
Business and Strategic Acumen
Communication and Influence
Timeline
Manager CVM: Data Analytics and Insights
MTN
07.2024 - Current
Senior Specialist : Data Scientist
MTN
01.2021 - Current
Specialist Campaign Modelling
MTN
01.2018 - 12.2020
Modelling Specialist
Wesbank
01.2016 - 01.2017
Credit Risk Analyst
ABSA
01.2014 - 12.2015
Professionals (GARP) -
Global Association of Risk
01.2012 - 01.2013
MSc - Quantitative Risk Management
North West University
B.Sc: Honour - Quantitative Risk Management
North West University
B.Sc Business Mathematics And Informatics - Business Mathematics and Informatics
North West University
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