Programming Languages
Python: Proficient in using Python for data analysis, statistical modelling, and machine learning.
R: Experienced in statistical analysis, statistical modelling and data visualization using R.
Sage: Knowledgeable in using Sage for mathematical computations.
Statistical Software
SPSS: Skilled in using SPSS for data analysis and statistical tests.
Advanced Excel: Proficient in Excel for data manipulation, analysis, and visualization.
Tableau: Capable of creating compelling visualizations and dashboards with Tableau.
Data Analysis
Data Cleaning and Preparation: Expertise in preparing and cleaning datasets for analysis.
Statistical Analysis: Proficient in performing complex statistical analyses to derive meaningful insights.
Machine Learning: Knowledgeable in applying machine learning algorithms for predictive modelling.
Technical Skills
Data Visualization: Skilled in creating visualizations with Python (Matplotlib, Seaborn, cartopy), R (ggplot2), and Tableau.
Data Collection: Experienced in developing and implementing robust data collection methodologies.
Project Planning: Proficient in defining project scopes, timelines, and resource allocations.
Analytical Skills
Problem-solving: Strong ability to analyze problems, identify solutions, and implement effective strategies.
Critical Thinking: Capable of critically evaluating data and research to derive actionable insights.
Attention to Detail: Meticulous in ensuring data accuracy and consistency.
Communication Skills
Report Writing: Skilled in authoring detailed reports that clearly present analysis results and recommendations.
Scientific Communication: Ability to effectively communicate complex scientific concepts to diverse audiences.
Teaching and Mentorship: Experience in teaching and mentoring students in applied statistics.
Leadership and Teamwork
Leadership: Demonstrated leadership skills through various roles such as Programme Director and Student Representative.
Team Collaboration: Proven ability to work collaboratively with multidisciplinary teams.
Workshops and Training
Facilitation: Experienced in leading workshops and training sessions on applied statistics and data science.
Public Speaking: Proficient in presenting research findings and leading discussions at workshops and conferences.