Robert Selemani

Founder: Managing Director and Data Practitioner at Repliteq AI
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Contact Information
Location
Sidvokodvo, Manzini Region, Eswatini, SZ
Languages
  • English Full professional proficiency
  • ChiShona Native or bilingual proficiency
  • IsiNdebele Limited working proficiency
  • SiSwati Limited working proficiency

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Bio

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5.0

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edwin chinyama

It’s rare that you come across a standout hard worker like Robert Selemani. I hired Robert when I was in the middle of implementing the Microsoft Dynamics 365 Business Central [ERP System] at Baines Avenue Clinic and his focused contribution made the project implementation a success. He gave useful insights about Data Analytics that played an important role in coming up with a Functional Requirements Document for the implementation of the Microsoft Power BI. He is the pioneer of Data Analytics at the organisation, which gave, and I believe continues to give Business Intelligence to the organisation's Management.

Paul Kennedy

Robert has been a passionate and dedicated ambassador for Zindi and for data science in Zimbabawe for several years. He has helped us organise several successful events in Zimbabwe, including UmojaHack Africa. Over this time he has been a consummate advocate for data science and for Zindi, and has helped countless passionate young data practitioners grow and develop their skills and careers. We are always grateful to Robert for his infectious enthusiasm and personal drive!

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Credentials

  • Advanced SQL for Data Scientists
    LinkedIn
    Oct, 2022
    - Sep, 2024
  • Intermediate SQL for Data Scientists
    LinkedIn
    Oct, 2022
    - Sep, 2024
  • Microsoft Certified: Azure AI Fundamentals
    Microsoft
    Sep, 2022
    - Sep, 2024

Experience

    • Zimbabwe
    • Data Infrastructure and Analytics
    • 1 - 100 Employee
    • Founder: Managing Director and Data Practitioner
      • Oct 2021 - Present

      Develop and execute the company’s business strategies in order to attain business goals. Prepare and implement comprehensive business plans. Technical consultancy, solutions architecting, supporting the data life cycle by collecting, transforming, analysing data, and communicating results in order to inform & guide business decision-making and solutions implementation. Research, planning and strategising on ways to continuously improve current work and process flow, formulating and testing hypotheses, and also doing quality assurance on work done by junior officers. Extracting data from EMR and EHR systems, cleaning the data to prepare for monthly, quarterly, semi-annual and annual reports. Creating dashboards using Tableau and Microsoft PowerBI for various user groups Developing data analytics-powered user interfaces and dashboards using Streamlit. Disaggregating numbers by age, sex, key populations, priority populations for HIV, TB and Cancer under the categories: Prevention and Support, Testing, Treatment, Viral Suppression, Health Systems and Special Initiatives. Preparing narratives for the disaggregated data of the above-mentioned indicators, reporting the numbers and narratives in their respective databases. Special Initiatives Monitoring and Review for initiatives that include DREAMS and AGYW, which are programmes that deal with adolescent girls and young women. Ensuring data quality standards are upheld, creating reporting templates for monthly review and monitoring meetings, creating PowerPoint presentations for the meetings. Data Quality Assurance on an ongoing basis addressing issues as they occur, one by one or batching through cleanup scripts in the databases and proactively putting measures in place to address possible future occurrences of such issues to ensure compliance with standards. Creating and updating Standard Operating Procedures (SOPs) for the monitoring, evaluation and reporting of the various indicators. Show less

    • Mauritius
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Ambassador & Data Science Competitor
      • Jun 2021 - Present

      Built a Machine Learning model to predict which loans will end in a missed payment, and which will not, using Python, Data Libraries: Pandas, Scikit Learn and Matplotlib on Google Collaboratory. The solution helped the client know which clients are likely to default on a loan and those who are likely not. It reduced losses by 30%. Developed a Machine Learning model to predict how much a client will claim from an insurance company per month for a whole year, using Python, Data Libraries: Pandas, Matplotlib, Seaborn and Scikit Learn on Google Collaboratory. The solution helped the client to be better prepared to address claims that are submitted and improve customer satisfaction by alerting clients of possible claims they will make in the future. Created a Machine Learning model to predict which individuals across Africa and around the world are most likely to be financially resilient or not during the Covid-19 era, using Python, Data Libraries: Pandas, Scikit Learn, Seaborn and Matplotlib on Google Collaboratory. This solution provided insight into people’s financial behaviours and resilience, which further helped financial service providers including insurance companies and banks tailor their services to give their clients the best chance possible to achieve financial resilience. Organising Data Science hackathons and events within Zimbabwe, leading processions on the events, conducting technical walkthroughs of the hackathon challenges, and mentoring those who need mentorship. Speaking about Data Science on events and the impact of the Zindi Data Scientists community on career development Planning yearly Data Science activities for the Zindians in Zimbabwe, coming up with budgets for the events, inviting stakeholders, speakers and potential sponsors. Creating awareness about, and representing the organisation on events I attend, getting people and organisations to start interacting with the platform to unlock their potential. Show less

    • Zimbabwe
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Ambassador & Planning Committee Member
      • Jan 2021 - Present

      Contributing in the planning of, and taking part in Data Science projects and events organised by Data Science Zimbabwe. Engaging on, and co-managing the Data Science Zimbabwe professional media pages, analysing engagement on the pages. Creating awareness and representing the organisation on events I attend, getting people and organisations to start interacting with the Data Science Zimbabwe Organisation. Contributing in the planning of, and taking part in Data Science projects and events organised by Data Science Zimbabwe. Engaging on, and co-managing the Data Science Zimbabwe professional media pages, analysing engagement on the pages. Creating awareness and representing the organisation on events I attend, getting people and organisations to start interacting with the Data Science Zimbabwe Organisation.

    • Zimbabwe
    • Health, Wellness & Fitness
    • 1 - 100 Employee
    • Data Analyst
      • Nov 2020 - Dec 2022

      I took part in the implementation of an ERP System, from requirements gathering up to deployment, getting involved in every stage. I set up and maintained the SQL Database used by the Microsoft Dynamics 365 Business Central ERP system. Backed up the database daily and periodically, and tested the backups every week to ensure data integrity. Analysed sales, claim submissions, and debtors’ data from the Microsoft Dynamics 365 Business Central ERP System and created reports using Microsoft PowerBI and MS Excel, weekly. The reports helped the Executive team assess the performance of the organisation at a glance. Queried the SQL Database for bookings, admissions, and discharge records using the Structured Query Language, to extract the information required by nursing staff for their reports and statistics, daily. Analysed patient statements for drug demand and usage, creating MS Excel reports, weekly. This helped the pharmacy department make data-driven drug stocking and restocking decisions. Supervised and trained two Data Analyst attachés, creating their daily tasks and assessing their work weekly, and reporting to the ICT Manager. Show less

Education

  • National University of Science and Technology
    Bachelor of Science (Honours) Degree in Informatics, Data Science and Analytics
    2018 - 2022
  • Alpha Institute Mutare
    High School, Business
    2016 - 2017

Community

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