Work Experience | ||||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workFebruary 2002 / 3 months | ||
Project | Policy Lapse Modeling | |||
Industry | Insurance Industry | |||
Project Scope | Creating and implementing predictive model capable of predicting which insurance policy will lapse within specific period of time. | |||
Scope of Work | Model creation and assessment | |||
Role | Data Miner | |||
Results | Successful, model has reached minimum accuracy levels in testing and production environment. | |||
Technology | Enterprise Miner | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workMay 2001 / 2 weeks | ||
Project | POC – Clicks Customer Analytics Project | |||
Industry | Retail | |||
Project Scope | To showcase power of analytics on customer’s own data. | |||
Scope of Work | Producing different type of analytical models | |||
Role | Data Miner | |||
Results | Successful | |||
Technology | SAS Enterprise Miner | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workMay – October 2003 / 1 month | ||
Project | Customer Analytics Models | |||
Industry | Retail/financial | |||
Project Scope | Market Basket Analysis, Customer Segmentation, Product Portfolio Analysis | |||
Scope of Work | Creation of analytical mart and creation of various data mining models | |||
Role | Consultant, Data Miner | |||
Results | Completed successfully | |||
Technology | Base SAS, Enterprise Miner | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workSeptember 2002 / 3 weeks | ||
Project | Store Segmentation | |||
Industry | Retail | |||
Project Scope | Store segmentation based on customer’s purchasing behavior | |||
Scope of Work | Produce segments | |||
Role | Consultant, Data Miner | |||
Results | Completed successfully | |||
Technology | Enterprise Miner | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workMay 2003 / 2 weeks | ||
Project | Segment Migration | |||
Industry | Retail | |||
Project Scope | Create different models that would be effective in migration of customers from lower value segments to segments of the higher value | |||
Scope of Work | Model Building | |||
Role | SAS Consultant, Data Miner | |||
Results | Completed successfully | |||
Technology | SAS Enterprise Miner | |||
CUSTOMER NAMEHidden | Place of WorkCAPE TOWN | Date / Duration of workOctober 2002 / 3 weeks | ||
Project | Demand Forecasting | |||
Industry | Publishing | |||
Project Scope | Forecast weekly demand for the specific product (magazine/paper) at the specific outlet | |||
Scope of Work | Create forecasting models | |||
Role | SAS Consultant | |||
Results | Completed successfully | |||
Technology | SAS ETS, SAS Times Series Forecasting System | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workFebruary 2003 / 1 week | ||
Project | Develop rating models | |||
Industry | Short Term Insurance | |||
Project Scope | Produce claim frequency and claim severity model using traditional and advanced methods and produce risk-rating tables | |||
Scope of Work | Model Building | |||
Role | SAS Consultant | |||
Results | Completed successfully | |||
Technology | SAS Enterprise Miner | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workMarch 2003 / 2 weeks | ||
Project | Policy Lapse Re-Modeling | Policy Lapse Modeling | ||
Industry | Insurance Industry | |||
Project Scope | Re-build existing lapse prediction model using fresh data | |||
Scope of Work | Model creation and assessment | |||
Role | Data Miner | |||
Results | Policy Lapse Modeling | |||
Technology | Data Mining | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workApril-May 2003 / 4 weeks | ||
Project | Evaluating Customer’s Potential | |||
Industry | Insurance | |||
Project Scope | Build the model capable of predicting which currently dormant customers is likely to purchase and what | |||
Scope of Work | Build appropriate re-activation and cross-selling models | |||
Role | SAS Consultant and Data Miner | |||
Results | Completed successfully / work published and presented on conferences | |||
Technology | Enterprise miner | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workNovember 2004 / 4 weeks | ||
Project | Policy Lapse Modeling | Policy Lapse Modeling | ||
Industry | Life Insurance Industry | |||
Project Scope | Creating and implementing predictive model capable of predicting which insurance policy will lapse within specific period of time. | |||
Scope of Work | Model creation and assessment | |||
Role | Data Miner | |||
Results | Policy Lapse Modeling | |||
Technology | Insurance Industry | |||
CUSTOMER NAMEHidden | Place of WorkJohannesburg | Date / Duration of workMarch 2008 / 3 weeks | ||
Project | CI application in Retail | |||
Industry | Retail | |||
Project Scope | Describe and predict customer’s behavior in credit area, as well as being able to increase responses of relevant marketing campaigns. | |||
Scope of Work | Model Building | |||
Role | Analyst / Data Miner | |||
Results | Completed successfully | |||
Technology | Base SAS / Enterprise Miner | |||
Work Experience | ||||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workFebruary 2005 / 1 months | ||
Project | Policy Lapse Modeling | |||
Industry | Insurance Industry | |||
Project Scope | Creating and implementing predictive model capable of predicting which insurance policy will lapse within next 3 months. | |||
Scope of Work | Model creation and assessment | |||
Role | Data Miner | |||
Results | Successful, model has reached minimum accuracy levels in testing and production environment. | |||
Technology | Enterprise Miner | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workMay 2005 / 2 weeks | ||
Project | Rate Setting in short Term Insurance | |||
Industry | Short Term insurance | |||
Project Scope | Use of data mining for insurance rate-setting.. | |||
Scope of Work | Producing different type of rating scenarios by making use of Data Mining tools and techniques. | |||
Role | Data Miner | |||
Results | Successful | |||
Technology | SAS Enterprise Miner | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workJuly – October 2005 / 2 weeks | ||
Project | Claims Scoring | |||
Industry | Insurance | |||
Project Scope | Improve on current claim scoring methods. | |||
Scope of Work | Creation of analytical mart and creation of various data mining models | |||
Role | Consultant, Data Miner | |||
Results | Completed successfully | |||
Technology | Base SAS, Enterprise Miner | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workFebruary 2006 / 6 weeks | ||
Project | Claims Scoring | |||
Industry | Insurance | |||
Project Scope | Build claim scoring models, produce segmentation engine that can automatically differentiate between suspicious, normal and high value claims. | |||
Scope of Work | Assisting to SAS Analytical partner in providing them support | |||
Role | Senior consultant and advisor | |||
Results | Completed successfully | |||
Technology | Base SAS, Enterprise Miner | |||
CUSTOMER NAMEHidden | Place of WorkCape Town / Nairobi | Date / Duration of workMarch 2007 / 2 months | ||
Project | SAS Solution for Airlines Pilot Projects | |||
Industry | Aviation | |||
Project Scope | Build host of different forecasting and data mining models (CI) that can assist airline in running their operations more efficiently | |||
Scope of Work | Build simulation platform and build several customer-based models that are applicable in airline industry. | |||
Role | Solution Architect, Consultant, Data Miner | |||
Results | Completed successfully / work published and presented on conferences | |||
Technology | SAS EIP with storage, analytics and reporting components | |||
CUSTOMER NAMEHidden | Place of WorkCAPE TOWN | Date / Duration of workMay 2007 / 8 weeks | ||
Project | Customer Churn and Customer Value | |||
Industry | Telecommunications | |||
Project Scope | Build industrial-strength models that would assist the client in predicting churn and customer’s value for pre-paid customer segment. | |||
Scope of Work | Create analytical mart, produce the models, provide guidance and leadership | |||
Role | SAS Consultant, Analytical specialist | |||
Results | Completed successfully | |||
Technology | Enterprise Miner, Enterprise Guide | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workJune 2007 / 2 weeks | ||
Project | Demand Planning | |||
Industry | Retail | |||
Project Scope | Use SAS Demand Planning Solution to improve store demand planning so that problems stock-outs and over-stocking is reduced | |||
Scope of Work | Producing of forecasting models | |||
Role | SAS Consultant, Forecasting specialist | |||
Results | Completed successfully | |||
Technology | SAS Forecasting Server | |||
CUSTOMER NAMEHidden | Place of WorkNellspruit | Date / Duration of workSeptember 2006 / 2 weeks | ||
Project | Demonstrating applicability of analytics in government | |||
Industry | Provincial Government | |||
Project Scope | Showcase how analytics can assist in service delivery | |||
Scope of Work | Vision creation / Model creation | |||
Role | Solution Architect, Analytical specialist | |||
Results | Successful | |||
Technology | Business Intelligence, Analytical Intelligence | |||
CUSTOMER NAMEHidden | Place of WorkPietermaritzburg / Cape Town | Date / Duration of workOctober 2007 / 2 weeks | ||
Project | Demonstrating applicability of analytics in government | |||
Industry | Provincial Government | |||
Project Scope | Use analytics to assist in service delivery | |||
Scope of Work | Vision creation / Model creation | |||
Role | Solution Architect, Analytical specialist | |||
Results | Successful | |||
Technology | Business Intelligence, Analytical Intelligence | |||
CUSTOMER NAMEHidden | Place of WorkPretoria | Date / Duration of workMay 2006 / 2 weeks | ||
Project | War / civil unrest prediction | |||
Industry | National government | |||
Project Scope | Creating predictive model capable of scoring specific country on likelihood of sliding into war / civil unrest | |||
Scope of Work | Data mart / Model creation | |||
Role | Data Miner | |||
Results | Successful | |||
Technology | Enterprise Miner | |||
CUSTOMER NAMEHidden | Place of WorkJohannesburg | Date / Duration of workMarch 2007 / 2 weeks | ||
Project | Investment / disinvestment in Africa using analytics | |||
Industry | Life Insurance | |||
Project Scope | Demonstrating how different analytical technologies can provide assistance into corporate decision making on highest strategic levels | |||
Scope of Work | Solution architect, Vision creation, Model Building | |||
Role | Analyst / Data Miner | |||
Results | Completed successfully | |||
Technology | Base SAS / Enterprise Miner | |||
CUSTOMER NAMEHidden | Place of WorkPort Elizabeth / Cape Town | Date / Duration of workJune2006 / 1 month | ||
Project | Demonstrating applicability of analytics in government | Policy Lapse Modeling | ||
Industry | Provincial Government | |||
Project Scope | Showcase how analytics can assist in service delivery on municipal level | |||
Scope of Work | Vision creation / Model creation | |||
Role | Solution Architect, Analytical specialist | |||
Results | Successful | |||
Technology | Business Intelligence, Analytical Intelligence | |||
CUSTOMER NAMEHidden | Place of WorkCape Town / East London | Date / Duration of workAugust 2007 / 2 weeks | ||
Project | Customer Analytics Project | |||
Industry | Automotive | |||
Project Scope | Models developed were: Client Complaint Model (Text Mining), Client Value Model, Gender Model, Product Models, Lifestyle Profile Models> | |||
Scope of Work | Producing different type of analytical models by making use of Data Mining tools and techniques. | |||
Role | Analytical Specialist | |||
Results | Successful | |||
Technology | SAS Enterprise Miner, SAS Text Miner | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workMay – October 2003 / 1 month | ||
Project | Customer Analytics Models | |||
Industry | Wellness | |||
Project Scope | Employee pattern analysis which shows data patter associative to the specific wellness issue (depression, sickness, alcohol-related problems, absenteeism, etc) | |||
Scope of Work | Creation of various data mining models | |||
Role | Consultant, Data Miner | |||
Results | Completed successfully | |||
Technology | Base SAS, Enterprise Guide | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workFebruary 2007 / 1 week | ||
Project | Forecasting Proof of Concept | |||
Industry | banking | |||
Project Scope | To forecast sales revenue for different lines of business. | |||
Scope of Work | Produce forecasting models and create business case | |||
Role | Consultant, Data Miner | |||
Results | Completed successfully | |||
Technology | Enterprise Miner | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workMay 2006 / 2 weeks | ||
Project | Credit Scoring Project | |||
Industry | Banking | |||
Project Scope | Improve quality of their current credit scoring models. | |||
Scope of Work | Model Building | |||
Role | SAS Consultant, Data Miner | |||
Results | Completed successfully | |||
Technology | SAS Enterprise Miner | |||
CUSTOMER NAMEHidden | Place of WorkCAPE TOWN | Date / Duration of workOctober 2007 / 3 weeks | ||
Project | Text mining exercise | |||
Industry | Banking | |||
Project Scope | Analyze customer surveys data conducted at different branches using text mining | |||
Scope of Work | Create text mining models | |||
Role | SAS Consultant | |||
Results | Completed successfully | |||
Technology | SAS Text Miner | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workFebruary 2003 / 1 week | ||
Project | Proof Of Concept using SAS Enterprise Miner | |||
Industry | Banking | |||
Project Scope | Fraud detection | |||
Scope of Work | Model Building | |||
Role | SAS Analytical Specialist | |||
Results | Completed successfully | |||
Technology | SAS Enterprise Miner | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workMarch 2003 / 2 weeks | ||
Project | Customer Intelligence in banking | |||
Industry | Banking | |||
Project Scope | Customer Segmentation and Cross-sell | |||
Scope of Work | Model creation | |||
Role | Analytical Specialist | |||
Results | Successful | |||
Technology | Data Mining | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workMarch 2008 | ||
Project | Analytical applications in e-retail | |||
Industry | e-retailer | |||
Project Scope | Build the variety of models that would increase revenue and improve sales, as well help with recommendations, product categories, and improve overall customer-centricity of the organization. | |||
Scope of Work | Build models | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workJuly 2008 / 2 weeks | ||
Project | Competitive Intelligence and analytics | Policy Lapse Modeling | ||
Industry | Insurance | |||
Project Scope | Showcase how text mining can be used to generate competitive intelligence from the web | |||
Scope of Work | Model creation | |||
Role | Analytical Specialist | |||
Results | Insurance | |||
Technology | Text Miner | |||
CUSTOMER NAMEHidden | Place of WorkJohannesburg | Date / Duration of workMarch 2008 / 2 weeks | ||
Project | Usage segmentation | |||
Industry | Energy | |||
Project Scope | Creating models that can produce different usage-based market segments, as well as build specific profiles of usage. | |||
Scope of Work | Model Building | |||
Role | Analyst / Data Miner | |||
Results | Completed successfully | |||
Technology | Base SAS / Enterprise Miner | |||
Work Experience | ||||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workJuly 2008 | ||
Project | Energy loss | |||
Industry | Energy | |||
Project Scope | Creating descriptive and predictive models that can lead to better understanding of patterns that lead to different categories of loss of energy and interruption of electricity generation. | |||
Scope of Work | Model creation, knowledge transfer | |||
Role | Analytical specialist | |||
Results | Successful, project still ongoing | |||
Technology | Enterprise Miner | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workMay 2005 / 2 weeks | ||
Project | Analytics and Revenue collection | |||
Industry | Government | |||
Project Scope | To showcase how data mining can be used to improve revenue collection | |||
Scope of Work | Model building, knowledge transfer | |||
Role | Analytical specialist | |||
Results | Successful | |||
Technology | SAS Enterprise Miner, Text Miner | |||
Work Experience | ||||
CUSTOMER NAMERed Cross Children’s hospital and Hidden | Place of WorkCape Town | Date / Duration of workMay 2008 | ||
Project | Data Mining for Children’s hospital | |||
Industry | Medical | |||
Project Scope | Creating variety descriptive models that can lead to better understanding of patterns that lead to different categories of children’s injuries. Derived patterns would then be used to assist in injury prevention programs. | |||
Scope of Work | Model creation | |||
Role | Analytical specialist | |||
Results | Successful | |||
Technology | Enterprise Miner | |||
Work Experience | ||||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workMay 2009 | ||
Project | Claims segmentation and allocation | |||
Industry | Short Term Insurance | |||
Project Scope | Showing how analytics can be used to automatically segment claims. Approach used was hybrid (rules + analytical models), and claims were segmented based on how assessment would be carried out (digital or mobile), and based on whether claims are suspicious or not. | |||
Scope of Work | Model creation | |||
Role | Analytical specialist | |||
Results | Successful | |||
Technology | Enterprise Miner | |||
Work Experience | ||||
CUSTOMER NAMEHidden | Place of WorkPretoria | Date / Duration of workJune 2009 | ||
Project | Predicting Cost of Death and Disease Profiling | |||
Industry | Healthcare | |||
Project Scope | Analyze segment of pensioner population to differentiate between diseased and still-alive grouping in terms of their claim and disease patterns as well as on their demographic and lifestyle characteristics. | |||
Scope of Work | Model creation | |||
Role | Analytical specialist | |||
Results | Successful | |||
Technology | Enterprise Miner | |||
Work Experience | ||||
CUSTOMER NAMEHidden | Place of WorkJohannesburg | Date / Duration of workMay 2008 | ||
Project | Text Mining for Customer Insights | |||
Industry | Banking | |||
Project Scope | Creating variety of descriptive models that could lead to better understanding of what is causing customer to leave, what are the grievances, problems as well as positive experiences, so that these learning can be used to improve on customer interaction at all levels. | |||
Scope of Work | Model creation | |||
Role | Analytical specialist | |||
Results | Successful | |||
Technology | Enterprise Miner | |||
Work Experience | ||||
CUSTOMER NAMEHidden | Place of WorkJohannesburg | Date / Duration of workSeptember 2010 | ||
Project | Text Mining for Customer Insights | |||
Industry | Banking | |||
Project Scope | Use text mining technologies to segment customer feedback based on type of comments given in customer surveys. | |||
Scope of Work | Model creation | |||
Role | Analytical specialist | |||
Results | Successful | |||
Technology | Enterprise Miner | |||
Work Experience | ||||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workApril 2010 | ||
Project | Crime Analysis | |||
Industry | Safety and Security | |||
Project Scope | Use of analytics to analyze crime per area, type of crime, demographics, etc. | |||
Scope of Work | Crime Analysis | |||
Role | Analytical specialist | |||
Results | Successful | |||
Technology | Enterprise Miner | |||
Work Experience | ||||
CUSTOMER NAMEHidden | Place of WorkJohannesburg | Date / Duration of workNovember 2010 | ||
Project | Analysis of Driving Behavior | |||
Industry | Short-term Insurance | |||
Project Scope | Use of analytics to analyze driving data which was captured by tracker system and use this information for rate setting. | |||
Scope of Work | Predictive and Descriptive modeling | |||
Role | Analytical specialist | |||
Results | Successful | |||
Technology | Enterprise Miner | |||
Work Experience | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workNovember 2010 | |
Project | Customer profiling and look-a-like modeling | ||
Industry | Retail | ||
Project Scope | Use of analytics to profile customer that buys into specific range of products, then find out which of the customers that is not yet buyer of the current range would fit the profile of current buyers. | ||
Scope of Work | Predictive and Descriptive modeling | ||
Role | Analytical specialist | ||
Results | Successful | ||
Technology | Enterprise Miner | ||
Work Experience | |||
CUSTOMER NAMEHidden | Place of WorkCape Town | Date / Duration of workJuly 2010 | |
Project | Intermediary performance analysis | ||
Industry | Insurance | ||
Project Scope | Use of analytics to differentiate between performing and non-performing intermediaries, and create the models that can predict performance 1 month ahead. | ||
Scope of Work | Advisory | ||
Role | Analyst | ||
Results | Not available | ||
Technology | Enterprise Miner | ||