Millicent Wangechi Data analyst,tutor of Mathematics and sciences
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I believe in fostering an inclusive, engaging classroom where students actively participate in their learning. My approach combines project-based and inquiry-driven methods to connect lessons to real-world challenges, encouraging critical thinking and problem-solving. I use differentiated instruction, incorporating tools like visual aids, group discussions, and hands-on activities to cater to diverse learning styles. My goal is to help students build confidence, develop practical skills, and cultivate a lifelong love for learning, while continuously refining my methods through feedback and reflection. In my previous tutoring job my students have performed exemplarily well

Subjects

  • Physics Beginner-Intermediate

  • Chemistry & Biology Beginner-Intermediate

  • Mathematics & Statistics Beginner-Intermediate

  • Mathematical and Statistical economics Beginner-Expert

Experience

  • data analyst (Jan, 2024–Jul, 2024) at Dalberg Reserch
    • Designed questionnaires and discussion guide based on client’s research objectives and ensures that they are well captured on SurveyCTO
    • Managed active project data, identifying and reporting errors and inconsistencies to the field team for correction.
    • Generated and updated data management and analysis scripts using tools such as, Excel, R, SPSS, and STATA
    • Developed and maintained dashboards using tools such as RShiny and Excel to effectively communicate analytical findings to stakeholders, facilitating informed, data-driven decision-making.
    • Recommended imputation mechanisms for missing and outlier data, solving data issues in a specific project through models and simulations.
    • Utilized advanced analytical techniques and programming languages such as R to analyze large datasets and identify data anomalies, ensuring data integrity and reliability
    • Supported the development of monthly reports for a project interviewing clients from multiple sexual health reproductive facilities in Nairobi, Coastal, Rift Valley, and Western regions.
    • Developed visualizations using R for the internship capstone project to facilitate better understanding of data patterns and trends.

Education

  • Bachelors degree in Applied Statistics (Jul, 2019–Dec, 2023) from The Technical University of Kenya

Fee details

    KSh500–1,500/hour (US$3.86–11.58/hour)

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