Eunice Medical Laboratory Sciences
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I am a passionate educator with an extensive background in Medical Laboratory Sciences, healthcare, and data science, dedicated to helping learners achieve their academic and professional goals. With years of hands-on experience in laboratory diagnostics, healthcare management, and data-driven decision-making, I specialize in teaching a diverse range of subjects, including medical laboratory techniques, clinical research, nutrition, toxicology, data analysis, Python programming, machine learning, and advanced Excel.

My teaching approach is tailored to meet individual needs, focusing on clarity, practical application, and critical thinking. Whether you're a student seeking to deepen your knowledge, a professional looking to upskill, or someone eager to explore data-driven insights in healthcare, I provide guidance that bridges theory and practice. I also offer support in scientific writing, academic research, and project guidance to help you excel in your endeavors. Let’s work together to unlock your potential and achieve success!

Subjects

Data Science Beginner-Expert
Microbiology Laboratory Beginner-Intermediate
Transfusion medicine Beginner-Intermediate
Medical Parasitology Beginner-Intermediate
Microbiology Lab Beginner-Expert

Experience

Laboratory Scientist (Oct, 2021–Present) at Centres for International Programs, ICAP Kenya

Research activities
Laboratory Scientist (Oct, 2020–Sep, 2021) at Washington state University, GH Kenya

Research Activities

Education

Data Science (May, 2023–Feb, 2024) from Moringa School–scored Pass
Medical Laboratory Sciences (May, 2015–Dec, 2017) from Mount Kenya University–scored Pass
Medical Laboratory Sciences (Sep, 2009–Dec, 2012) from Kenya Medical Training College–scored Pass

Fee details

KSh15–25/hour (US$0.12–0.19/hour)

Fees vary based on content and time

Courses offered

Data Science
- US$20
- Duration: 1 Hour
- Delivery mode: Online
- Group size: Individual
- Instruction language: English
- Certificate provided: No
I teach a wide range of data science topics, including data cleaning and analysis using Python (Pandas, Numpy), data visualization with Matplotlib, Seaborn, and Plotly, and building predictive models with machine learning techniques in Scikit-Learn. My lessons cover key concepts such as exploratory data analysis, statistical methods, and advanced Excel techniques for data manipulation. I also introduce SQL for database management and provide practical guidance on real-world projects like customer churn analysis and predictive modeling. Additionally, I incorporate soft skills like presenting insights effectively and using generative AI tools to enhance workflows, ensuring students gain both technical expertise and practical application skills.