Henry Data Science and Analytics
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My teaching style is highly adaptable. I do not prefer or rely on one way of interacting with students in the classroom environment. This is because each class is different, each student is different, so is each lesson and therefore a good teacher should be able to adjust according to the depth of the lesson and so on. I prefer individual approach to teaching and doing class demonstrations as well as giving take away assignment for practice. As for the results, I always try to define clear and achievable goals with each individual student. In that, I ensure that every student feels accommodated and am able to help students feel that they have achieved what they intended and have gotten the value of their money. My motivation and measure of success is to see all the students that I come across being able to apply all the concepts in the area of interest and being able to interpret the results correctly. What makes a great teacher is my unmatched skills in communications, listening, collaboration, adaptability, empathy and patience. I am also excellent in effective teaching which includes an engaging classroom presence, value in real-world learning, exchange of best practices and a lifelong love of learning.

Subjects

  • R (Programming) Beginner-Intermediate

  • Data Science and Machine Learning Intermediate-Expert

  • Statistics and data analysis Intermediate-Expert

  • Python for Data science, Machine Learning and Artificial Intelligence Intermediate-Expert

Experience

  • Machine Learning Engineer (Aug, 2022–Present) at ICIPE(International centre for insect physiology and entomology)
    Developing data collection pipelines
    Data collection, preparation and analysis
    Data cleaning
    Developing machine learning models in Python
    Developing interactive dashboards in PowerBi and Tableau
    Deploying models using TensorFlow
  • Data analyst (Aug, 2021–Jul, 2022) at university of nairobi kenya
    • Designing of data management and reporting tools using Tableau and Power Bi.
    • Querying and maintaining databases with SQL
    • Data analysis with python and R languages
    • Accurately analyzing, collecting and storing data
    • Creating and preparing reports that provide key insights into key data points
    • Monitoring data to identify changes and trends of data in question
    • Excellent written and verbal communication, useful in reporting results of data analysis to managers.
    • Use of SQL and Microsoft excel to visualize data through graphs, charts and pivot tables

Education

  • MsC Data Science and Analytics (May, 2021–now) from Strathmore University, Nairobi–scored pass
  • Unix/Linux Operating systems (Aug, 2019–Aug, 2019) from ALISON-Advance Learning Interactive Systems Online–scored Pass
  • Introduction to SQL (May, 2019–Jul, 2019) from Data Camp–scored pass
  • BsC Computer Science (Sep, 2015–Oct, 2019) from Chuka University, Tharaka Nithi, Kenya

Fee details

    KSh2,000–5,000/hour (US$15.50–38.75/hour)

    The fee varies based on whether am teaching online or in person (Travelling). It also depends on the depth of the content and time

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