Vusi Johanes Bhiyatja
Independent Consultant at Maestro Consulting (PTY) Ltd- Claim this Profile
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English Native or bilingual proficiency
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Zulu Professional working proficiency
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Swati Full professional proficiency
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Afrikaans Elementary proficiency
Topline Score
Bio
Credentials
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Ware Housing Administrator
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Basic Hygiene, Safety and First Aid (1999)
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Bee-Gee Business-Wise (1997)
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Capacity Building Workshop (2000)
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Mpumalanga Technology Project (1997)
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Rapid Warehousing Methodology
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SAS Programming I II and III (2001)
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Experience
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Maestro Consulting
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South Africa
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IT Services and IT Consulting
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1 - 100 Employee
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Independent Consultant
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Sep 2017 - Present
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Eskom Holdings SOC Ltd
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Utilities
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700 & Above Employee
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SAS Developer
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Jul 2017 - Aug 2017
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Nedbank
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South Africa
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Financial Services
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700 & Above Employee
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SAS Developer
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Jan 2017 - Jun 2017
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PBT Group
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South Africa
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IT Services and IT Consulting
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200 - 300 Employee
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Senior BI Analyst
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Nov 2008 - Dec 2016
Research, requirements gathering and documentation, report development, QA and automation. Support business(MTN call centre) with BAU related reports such as billling, munites,revenue,gprs,collectable,collected and writeoffs, returned debit orders and other statistics such as call centre agent activities and performance. Reconciliation of data at monthend between different system. Assist with daily,weekly and monthly reports. Develop, Automate and manage billing related reports going to external parties via MTN FTP portal as well as internal credit management users via MTN intranet. Assist the retentions department with retentions related reports, such as those that have requested to be terminated on network, as well as those that are due for upgrades . Also worked on a number of projects such as the closed loop feed back survey which helps MTN to understand the level of satisfaction when a customer contact MTN's cantact centres; also the upgarde project, in which I build a model which identifies the subscriber who is close to contract termination and root the info to ITC for New affordability to be loaded from there, the model tries and associate a product that is most suited to the subscriber based on his last four months average spent or max spent as well as using the revised credit limit from ITC; MTN Tangoe project, here my responsibilies are to supply tangoe as as external BI company with billing related data for certain customers in which tariff optimization would be done; the Nashua to MTN migration, here my responsibilities were to build various reports that were recieved by this customers while they where still with Nashua. Show less
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African Bank
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South Africa
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Banking
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700 & Above Employee
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Credit Analyst
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Aug 2008 - Oct 2008
My responsibilies here were to review and improve the monthly reporting pack, as well as run a comparison of data from various credit bureau and provide a recommendation as to which bureau should be prefered for what type of data. My responsibilies here were to review and improve the monthly reporting pack, as well as run a comparison of data from various credit bureau and provide a recommendation as to which bureau should be prefered for what type of data.
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CreditEdge (Pty) Ltd
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Financial Services
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1 - 100 Employee
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Data Miner
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Feb 2007 - Jul 2008
While at Mgroup, my responsibilities were to work on data mining related models such as payment prediction, payment profiling and book valuation,also support with other analytical related task; such as debit order analysis, survival analysis, data quality,text mining and built olap cubes While at Mgroup, my responsibilities were to work on data mining related models such as payment prediction, payment profiling and book valuation,also support with other analytical related task; such as debit order analysis, survival analysis, data quality,text mining and built olap cubes
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Metropolitan
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South Africa
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Insurance
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700 & Above Employee
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Data Miner
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Oct 2004 - Feb 2007
While at Metropolitan, my responsibilities were ; to assist with data mining models the lapse predict model and propensity models. This includes Scoring and identifying customers likely to miss a payment upon being approved for a policy. Also to support with BAU as well as sequence and Association analysis While at Metropolitan, my responsibilities were ; to assist with data mining models the lapse predict model and propensity models. This includes Scoring and identifying customers likely to miss a payment upon being approved for a policy. Also to support with BAU as well as sequence and Association analysis
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University of the Western Cape
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South Africa
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Higher Education
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700 & Above Employee
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Junior Lecturer
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Jun 2003 - Dec 2003
My responsibilities where to: 1. Prepare class presentation and present the slides 2.Prepare assignments and test 3.Marking,capturing of the result to systemp 4.Assisting student with statistical related assignments. My responsibilities where to: 1. Prepare class presentation and present the slides 2.Prepare assignments and test 3.Marking,capturing of the result to systemp 4.Assisting student with statistical related assignments.
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Education
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University of the Western Cape/Universiteit van Wes-Kaapland
Bachelor’s Degree, Mathematics and Statistics