About Learnmore Machiwenyika

  • Academic Level Bachelor's Degree
  • Age 23 - 27 Years
  • Salary 1850
  • Industry Digital Services Provider

About me

The desire to make my organization better than l found it coupled with my daring personality
makes me stop at nothing except the best work output. My ability to perform is good but my
consistency is a better virtue. I am able to work from own initiative and equally effective as part
of a team.


  • 2020 - 2020
    WorldQuants University

    Applied Data Science 2 : Machine Learning and Statistical Analysis

    Program focused on building machine learning models to make predictions on real-world data, understanding the best way to treat, clean, and encode data and choosing the appropriate machine learning models for the task. Tuning the model to create a generalized model that performs well on both a training set and on out-of-sample data and building models using text and time series data.

  • 2020 - 2020
    WorldQuant University

    Applied Data Science 1 : Scientific Computing and Python

    Program focused on a comprehensive introduction to scientific computing, Python, and related tools used by data scientists. The use of Python to read, clean, process, and analyze real-world data by following good programming practices such as using functions, choosing the appropriate data structures, and writing readable, maintainable code.

  • 2020 - 2020


    This project based course was aimed at the Introduction, Importing of Data, Transforming the Data, creating Data Models and using the DAX Formula language to develop powerful calculations, Creating Reports and Dashboards, publishing reports and dashboards on the Internet and view using laptops, tablets or smartphones.

  • 2020 - 2020

    Project Management

    Program focused on the application of processes, techniques, methods and skills to achieve specific project objectives according to the project acceptance criteria within agreed parameters, timescale and budget.

  • 2014 - 2019
    National University of Science and Technology

    Bachelor on Science Honors Degree in Operations Research and Statistics

    The program focused on the uses of robust scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. Also developing solutions to complex organizational problems using mathematical modeling, experimental design, statistical analysis and numerical computation.


  • 2021 - Present
    Syntegra Solutions

    Data Analytics Developer

    • Developing visual reports, KPI scoreboards, and dashboards using Power BI, Excel and Business Intelligence Reporting Tool (BIRT). • Collecting, understanding, cleaning, analyzing, integrating and investigating internal and external data to achieve business objectives. • Verifying the integrity, accuracy, completeness and consistency of data in data warehouses. • Connecting data sources, importing data, and transforming data for analysis. • Uncovering data correlations/relationships in support of measurement and prediction. • Identifying the right visualization models depending on the business challenges and the datasets. • Understanding and advising on optimal schema designs for storing and querying analytics data. • Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics. • Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Talend and SQL technologies.

  • 2020 - 2020
    Halls Retail (South Africa)

    Data Scientist

    • Designed custom reports and real time dashboards with Power BI. • Mined and analyzed data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. • Processed, cleaned, and verified the integrity of data used for analysis. • Performed ad-hoc analysis for a wide range of requests using data from various data sources and in different formats. • Identified and provided input to new technology opportunities which had an impact on the enterprise- wide BI systems. • Used data visualization to engage with target audience in an effective way. • Performed third-party API integrations using Python frameworks.

  • 2017 - 2018
    Econet Wireless Zimbabwe

    Operations Research Intern

    • Cleaned survey data, analyzed data using Power BI, Microsoft Excel, and SPSS. • Designed final reports to meet data analysis needs with the findings of the exercise as a final product. • Designed and developed forms (Questionnaires) in Mobenzi and deployed them to the fieldworker’s (Tasknites) devices. • Organised trainings for the fieldworkers on the data collection and capturing tools and technologies. • Debriefing fieldworkers before the survey and providing technical assistance during the survey. • Monitored fieldwork progress and activity through real-time dashboards, prepare weekly progress reports and presentations. • Designed sampling, data collection and data analysis methodology that suits the survey under study. • Managed Tasknites’ databases and conducted data quality checks. • Performed ad-hoc analysis for a wide range of requests within the department. • Designed and organized research fieldwork across Africa including attendance to qualitative interviews within Zimbabwe.


Power BI
SQl and Databases
Microsoft Excel
Talend (ETL)
Business Intelligence Reporting Tool (BIRT)
Qlik Sense