Skills

Skills Overview Page Content

Welcome to My Skills Overview! 🌟

As a researcher and data scientist with years of experience across various fields, I bring a diverse set of skills to every project. Below, you’ll find an overview of my key skills organized into specific categories. Whether it’s using advanced machine learning techniques, conducting in-depth data analysis, or delivering high-quality research, my goal is to turn data into actionable insights.

Explore my skill sets, from Data Science to Monitoring & Evaluation, and discover the tools and methodologies that power my work. Each section includes examples of real-world projects, tutorials, and hands-on case studies.

Here’s a brief snapshot of my core competencies:

  1. 1. Data Science & Analytics đź“Š

    • Expertise: Advanced proficiency in R, Python, and STATA for statistical analysis and data visualization.

    • Focus Areas: Machine learning (e.g., neural networks, ensemble models), predictive modeling, data wrangling, and exploratory data analysis.

    • Tools: Proficient in using libraries such as tidymodels, pandas, and ggplot2, and tools like Tableau and Excel for visual storytelling.

    • Example Projects: My work on “Ensemble Machine Learning Approach for Predicting Drought Severity in Isiolo County” demonstrates my ability to apply sophisticated models to solve real-world problems.

    2. Research Methods đź“š

    • Quantitative & Qualitative: Expertise in survey design, sampling methods, regression analysis, and qualitative methods (focus groups, interviews).

    • Data Collection Tools: Skilled in using tools such as ODK, KoboCollect, and Google Forms to collect and manage high-quality data.

    • Software: Proficient with NVivo and ATLAS.ti for qualitative data analysis, ensuring meaningful insights are derived from complex datasets.

    • Applied Work: In my role as a Research Analyst at Population Council, I applied these methods to design and implement large-scale studies, ensuring rigor in both data collection and analysis.

    3. Programming đź’»

    • Languages: Extensive experience in R, Python, SQL, and familiarity with Shiny for creating interactive data applications.

    • Automation & Optimization: Automating data processes, building custom models, and streamlining workflows for data-driven decision-making.

    • Portfolio Website Services: I also offer website portfolio services for researchers and data scientists to showcase their skills and projects, as part of my professional offerings.

    • Open Source Projects: I actively contribute to the data science community through GitHub, sharing code repositories and projects for collaborative learning.

    4. Monitoring & Evaluation (M&E) 🔍

    • Frameworks & Methodologies: I have extensive experience in developing and implementing M&E frameworks, particularly for social programs and public health interventions. This includes logic models, results frameworks, and theories of change to assess program performance.

    • Quantitative & Qualitative M&E: Expertise in baseline and endline surveys, monitoring key performance indicators (KPIs), and using mixed methods (quantitative and qualitative) to deliver comprehensive evaluations. I’ve worked with both traditional M&E tools (surveys, focus groups) and advanced techniques like counterfactual impact evaluations to measure program efficacy.

    • Data Collection & Analysis Tools: Proficient in tools such as ODK, KoboCollect, SPSS, and STATA for real-time data collection and analysis. My expertise extends to using R and Python for analyzing large datasets to identify trends, patterns, and program outcomes.

    • Sectoral Expertise: My M&E experience spans sectors such as early childhood development, public health, and peace and conflict assessment. In a recent project, I was involved in a peace and conflict assessment in Kenya and Sudan, analyzing data on youth engagement in conflict zones.

    • Real-World Projects: I’ve led M&E efforts for a variety of organizations, including conducting baseline and endline evaluations for programs aimed at young mothers and early childhood development at ICRW Africa. This has involved everything from designing surveys to leading data collection efforts and presenting findings to key stakeholders.

    • Capacity Building: I’ve also been responsible for training teams and building capacity within organizations, ensuring that M&E practices are sustainable and scalable. Through workshops and hands-on training, I empower teams to implement their own M&E processes.

    • Reporting & Communication: Skilled at translating complex evaluation results into actionable insights for stakeholders. I create clear, concise reports that are both data-driven and accessible to a broad audience, ensuring decision-makers have the information they need to improve program outcomes.