Circana

In my current role as a member of the Global Training Team, I drive adoption of our modernized platform Unify+. This includes designing and delivering of training to Retail/CPG clients. This data visualization platform uses multiple data (POS, Panel) to analyze consumer behavior and shopper insights. 

Responsibilities:

I develop training programs on Panel Data and Unify+, equipping users with knowledge on how better understand consumer behavior and shopper insights.
I deliver engaging classroom-style training sessions that foster practical learning and application. This helps users connect the dots by applying functional knowledge of the platform to solve real world challenges 
A large aspect of the training is to address queries from diverse client teams, ensuring a cohesive and effective learning experience
I also collaborate with internal stakeholders, including product management, to drive product innovation and enhance client experience.

Achievements:
Successfully ramped up and delivered multiple live training sessions to large audiences within a short timeframe, demonstrating effective learning and presentation capabilities.

Skills
Training and Facilitation: Conducting engaging and relevant training sessions on analytics and data visualization technologies.

Stakeholder Engagement: Collaborating with internal and external stakeholders to align activities and enhance training effectiveness.

Consumer Behavior Analytics: Expertise in understanding and applying consumer behavior analytics to enhance decision-making.

Adaptability and Innovation: Evolving training content to reflect real-world client use cases and maximize adoption.

Global Solutions Trainer

Azendian Solutions

In this role for a tech startup based in Singapore, I drove the sales pipeline in a new territory (ANZ) through proactive business development activities. I played a pivotal role in integrating AI fairness metrics into our machine learning models and workflows. This involved assessing model outcomes for potential biases, ensuring equitable results, and addressing ethical considerations during the development phase. My work focused on evaluating variables like age and gender in credit scoring models to ensure ethical use, a practice I have championed even a decade ago when such considerations were less prevalent in the industry.

Key Responsibilities:

I provided presales support, conducting data assessments, delivering solution demos, and developing compelling Proof of Concepts (POCs).
I engaged with clients (mostly Higher Ed) to understand their unique technical and business requirements, crafting and delivering innovative solutions that aligned with their strategic visions.
I provided business and technical input to RFPs, client proposals, and other strategic documents.
I played a key role in refining sales presentations, content proposals for the ANZ market to increase engagement

Achievements
I successfully drove the sales cycle to its final phases with a leading university, enabling them to utilize our solution to reduce student dropout rates through advanced data analytics and machine learning
Created $5 million in pipeline through strategic business development activities, demonstrating strong initiative and effective engagement with prospective clients.
Leveraged my network and expertise to engage in partnerships, fostering collaborations with Big 4 consulting companies to drive business growth and expand market reach effectively.

Senior Presales System Engineer

Oracle

As a Master Principal Consultant at Oracle Financial Services, I drove pre strategic initiatives in positioning Oracles Risk Modernization Solutions to key decision makers. My role encompassed leading comprehensive account strategies, delivering impactful demos, and fostering client relationships.

Responsibilities:

Strategically position risk and finance solutions to business users and C-level decision makers.
Collaborated with the sales team to develop and execute account strategies aligned with client objectives.
Lead the response to RFIs/RFPs, showcasing expertise and capabilities.
Conducted successful Proof of Concepts across the product range, demonstrating effectiveness in solving complex business challenges.
Delivered high-level presentations and provide strategic guidance to clients, ensuring engagement and satisfaction.

Achievements:

I played a key role in a POC initiative to showcase a modernized risk solution for a leading bank in Australia, significantly enhancing operational efficiencies and mitigating risks

Master Principal Sales Consultant

Responsibilities

I worked closely with sales teams to identify opportunities, providing technical expertise to support sales strategies.
I was involved in projects that emphasized the responsible use of machine learning and advanced analytics. As part of my role, I guided clients in implementing AI-driven solutions, ensuring they adhered to ethical principles in their models and decision-making processes.
I worked on credit scoring models, where I helped evaluate the fairness of input variables like age, gender, and socio-economic factors to mitigate potential biases and ensure compliance with ethical standards. These efforts were aligned with the principles of transparency and fairness, foundational to SAS's analytics solutions.

Achievements:
I was the lead consultant on the development of an application fraud predictive model for the largest bank in the Southern Hemisphere, leveraging machine learning, data analysis, and risk management expertise, resulting in an $8 million annual savings in bad debt.
I was selected as a featured speaker at a prestigious Gartner Data Science showdown, delivering a 10-minute live demonstration highlighting the data science platform's capabilities in streamlining Data & ML Ops

Skills
SAS Software Expertise: In-depth knowledge of the SAS platform, including Base SAS, SAS/STAT, SAS Viya, and relevant industry-specific solutions.
Solution Design: Ability to translate business requirements into technical solutions and architectures using SAS products.

Industry Certifications: Certifications in SAS software and MS Azure
Programming Languages: Familiarity with Python, R, or other languages for data manipulation and analysis.
Cloud Technologies: Experience with cloud platforms (e.g., AWS, Azure) and SAS Viya deployment in cloud environments.
Big Data Technologies: Knowledge of Hadoop in conjunction with SAS

Senior System Engineer

In the Pre Sales Team, I lead the Advanced Analytics Practice
I worked extensively with the sales team to provide pre-sales support, positioning SAS analytical offerings to address customer business requirements. I leverage my knowledge of key industries, such as Financial Services, Telco and Retail to facilitate technical discussions, deliver business value propositions, prepare conceptual solution designs, and showcase solution capabilities through presentations and live demonstrations. I also supported marketing by developing content and collaborated with industry thought leaders for flagship events

Responsibilities
Provided pre sales support to Account Teams and Partners including business development, RFX support, customized demos and customer workshops
Provided statistical and analytical expertise to engage in discussions with customers looking to start or take their analytics journey to the next level.
A key aspect was to map customer pain points with SAS's analytical capabilities to deliver business value
Thought leadership representative on sales and marketing calls, providing expertise and domain knowledge in positioning analytical solutions.
Mentored junior team members to develop their skills and knowledge.
Conducted enablement sessions for internal sales, pre-sales teams and partners to build skills in selling new and existing solution offerings.

Achievements

Played a key role in securing a multimillion-dollar deal for a large bank, modernizing their analytics with cloud infrastructure and integrating open-source technologies alongside SAS, significantly enhancing their capabilities.
Authored numerous articles on advanced analytics and AI for the general public, increasing understanding through widespread publication and simplified explanations.
Promoted to Principal for contributions to the growth of SAS's Advanced Analytics Solutions across Sub-Saharan Africa, driving regional expansion and strategic impact

Principal Business Solutions Manager

Genesis Analytics

As Head of Analytics for a niche Economics Specialist Consultancy, I have been instrumental in driving business profitability through the implementation of advanced AI and machine learning solutions. I spearheaded the development of  analytical models and strategies that have led to significant improvements in decision-making and revenue growth.

Key Responsibilities:
Please refer to the Project section for a detailed overview of Projects I delivered
Data Analytics: Utilized advanced data analytics and statistical analysis to inform business decisions and optimize performance.
Conversion Rate Optimization: Implemented machine learning techniques to increase cross-sell conversion rates for a retailer, resulting in a 30% increase in conversions and a fourfold increase in product take-up rates.
Project Leadership: Led cross-functional teams to execute high-impact projects that delivered substantial business outcomes.
Stakeholder Collaboration: Worked closely with internal and external stakeholders to implement data-driven strategies and solutions.


Key Achievements:

Risk-Based Pricing Model: Pioneered the development of the first-of-its-kind risk-based price optimization model for a Telco, enhancing decision-making processes and optimizing profitability.
Machine Learning for Retail: Increased cross-sell conversion rates by 30% and product take-up by 4 times for a retailer through machine learning.
I led the development of a predictive analytics solution for a South African bank's Affordable Housing initiative, leveraging machine learning models to segment the target market. This data-driven approach significantly increased loan applications and enabled a more personalized customer service approach.

Head of Analytics

Direct Axis

I was hired to manage a suite of credit application scorecard ensuring performance and stability.
I also lead credit risk management and profitability optimization for unsecured loan portfolios, driving strategic initiatives to enhance performance and decision-making processes.

Key Responsibilities:

Application and Behavior scorecard(model) development and implementation 
Scorecard Monitoring Automation:
• Developed and automated credit scorecard monitoring systems for 12 unsecured loan portfolios
• Streamlined risk assessment processes, enabling proactive portfolio management
Managed credit risk across diverse unsecured loan portfolios
Developed and implemented risk strategies to optimize portfolio profitability
Led cross-functional teams in executing high-impact projects
Collaborated with external partners to enhance decision-making processes
Risk Matrices Development:
• Designed comprehensive risk matrices for decision-making across multiple portfolios leading to approval in accept rates whilst maintain current risk levels
• Implemented data-driven approach to risk assessment and loan approvals
using profitability :

Key Achievements:
Loan Offer Optimization Project:
• Spearheaded collaboration with FICO team to optimize loan offers and decision-making
• Led data design, analytics, and knowledge support aspects of the project
• Resulted in 15% increase in offer acceptance rates and enhanced portfolio performance
• Promoted to Senior Portfolio Manager in recognition of performance and leadership

Skills and Expertise:

Credit Risk Management
Portfolio Optimization
Scorecard Development and Monitoring
Data Analytics and Statistical Modeling
Project Leadership
Vendor Collaboration (FICO)
Profitability Analysis
Automated Reporting Systems
Unsecured Lending Products
Strategic Decision-Making

Senior Portfolio Manager

In this role, I was the responsible for risk analytics and modelling
I used data-driven credit risk strategies, enabling business growth while maintaining robust risk management practices. I also leveraged advanced analytics such as predictive modelling to optimize credit decisions and enhance operational efficiency.

Key Responsibilities:

Developed and implemented credit risk models (application and behavior) and policies
Developed a calculator for credit limits based on risk and affordability
Conducted comprehensive risk analysis to support strategic decision-making
Developed and automated executive risk management reports
Collaborated with business units to align risk strategies with growth objectives

Key Achievements:

Used disparate data sources to develop a fraud predictive model that reduced unnecessary referrals, boosting business efficiency by 30%
Developed and automated comprehensive credit scorecard monitoring reports, supporting risk governance and enabling assessment of model for retraining/redevelopment

Skills and Expertise:

Credit Risk Modelling and Analysis
Model monitoring 
Fraud Detection and Prevention
Statistical Analysis and Machine Learning
Data Visualization and Executive Reporting
Credit Policy Development
Portfolio Management
Regulatory Compliance
Programming (e.g., SAS, Python, R)
Business Acumen and Stakeholder Management

Senior Credit Risk Specialist

Old Mutual Specialised Finance

In this role, I looked after Risk Reporting and Modelling of various investment portfolios. I played a crucial role focusing on risk modelling and analysis. Specialized in developing and implementing sophisticated risk models to support strategic decision-making and regulatory compliance.
Key Responsibilities:

Produce Monthly risk reporting for compliance and risk 
Developed and maintained ALM risk models, including Value at Risk (VaR) and Basis Risk calculations
Conducted market risk analysis on diverse portfolios, providing insights to senior management (Head of Risk, Head of Compliance)
Automated and optimized risk reporting processes to enhance efficiency and accuracy
Collaborated with cross-functional teams to implement risk mitigation strategies

Achievements:

Pioneered risk modelling techniques for complex, non-vanilla financial instruments, significantly improving the ability to assess and manage exotic product risks
Designed and implemented an automated reporting system, reducing report generation time by 70% and minimizing manual errors
Developed a suite of market risk Key Performance Indicators (KPIs) that became standard across the organization, enhancing risk oversight


Skills and Expertise:

Quantitative Risk Modelling (VaR, Basis Risk, Market Risk)
Financial Instrument Valuation
Statistical Analysis and Data Modelling
Programming (e.g., Excel VBA, Python, R, MATLAB)
Process Automation and Optimization
Regulatory Reporting
Financial Markets Knowledge
Data Visualization and Reporting

Market Risk Analyst

Statistics South Africa

I launched my career through a competitive graduate program at Statistics South Africa, focusing on data analysis and statistical methodologies. I played a pivotal role in processing and analyzing key national surveys, including the Labour Force Survey and General Household Survey.
Key Responsibilities:

Conducted comprehensive data cleaning and statistical analysis of data from large-scale national surveys
Collaborated with cross-functional teams to validate statistical reports and improve data quality
Contributed to the development and implementation of survey methodologies
Assisted in creating and maintaining metadata documentation for organizational knowledge management

Achievements:

Spearheaded the development of a data and statistical validation framework, significantly enhancing the governance and trustworthiness of survey reports
Led the initiative to develop a comprehensive metadata glossary, increasing data transparency and facilitating better data governance across the organization

Skills Developed:

Statistical Analysis (SAS, SPSS, R)
Data Cleaning and Validation
Survey Methodology
Metadata Management
Data Governance
Report Writing and Documentation
Collaborative Problem-Solving
Project Management

Statistical and Data Analyst

Results-driven professional with 18+ years of experience across pre-sales, data science, and consulting. Deep expertise in credit/customer modelling, with a track record of delivering analytical solutions for clients. Skilled in translating complex analytics solutions for diverse industries, including Finance, Telco and CPG. Currently leveraging this multifaceted background in a training role, sharing insights and best practices in data-driven decision making.

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