Leonard Mutambanengwe
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Member since February 23, 2022
Profile health 50%

An analytically minded individual with an innovative, and entrepreneurial mind-set, looking to use my skill set for an effective complex problem solving approach leveraging data technologies. A team player who is always willing and quick to learn, I am quantitatively astute and a critical thinker. Can communicate very well, with great interpersonal skills. Interests at the intersection of data science and social science, including computational social science and decision intelligence as well as technology, innovation and society.



  •  Boka Tobacco Floors Private Limited
  •  Mar 2015 - Jul 2017

Business Systems and Strategy Department
 Evaluating business processes, anticipating requirements, uncovering areas for improvement and designing
and implementing solutions.
Analysed data from the organisation’s Enterprise Resource System (AuctionMaster), including sales transactions, mar-
keting data, human resources and operations (receiving, floor, dispatch) to monitor and maintain the effectiveness of
the organisation’s process. This was done in support of the plan to implement an ISO9001:2015 system. The analyses
included ad-hoc analysis at the request of the directors and managers, targeted analytics for a particular issue of con-
cern, case in point, monitoring the sales data capture and dispatch to ensure all the bales were accounted for and
properly charged as well as for research for strategic and operational decision making e.g. anticipating which bank to
prefund based on the profiles of the farmers who may sale in a certain day, or period. Dashboards prototyped for fin-
ance to keep the department up to date with merchant payments and for reporting and business intelligence using R
and Shiny/FlexDashboard.


  •  Data Science Zimbabwe
  •  Feb 2018 - Present

Data Science Zimbabwe is an non-profit organisation/community, set up to provide a platform for
Zimbabweans interested in solving problems in their communities leveraging on the data sciences by
building a conducive ecosystem that includes private and public and academic institutions.
 Vision, mission and strategy formulation and ensuring the execution of the same
 Oversight of programs, initiatives and events run by the organisation.
 Compliance with regulations and laws impacting the organisation and maintain accountability to all
 Canvassing for resources to use to meet the requirements of the organisation.