Harnessing
Data & Research
to solve problems
I am passionate about data and research, with a keen interest in both quantitative and qualitative analysis. From exploring data lifecycles to applying machine learning and crafting clear visualizations, my goal is to turn complex data into clear, actionable insights that inform decisions and guide strategy.
REDD+ and Scalar Configurations
The essay examines the REDD+ framework from a political ecology perspective, emphasizing the multi-level complexities of governance and power dynamics within forest conservation efforts.
THEORETICAL RESEARCH
Blockchain solutions for aid and development
The decentralized, transparent and traceable nature of blockchain technologies makes them good candidates to tackle some of the challenges in the international aid and development sector.
THEORETICAL RESEARCH
A hybrid recommender system for restaurants
Crowdsourced reviews and recommendations for restaurants are suboptimal. Can a hybrid recommender system help?
THEORETICAL RESEARCH
Classification and Clustering
Are weather and happiness related? In this short project, I attempt clustering weather stations in the UK, and experiment with localized happiness data.
DATA SCIENCE SKILLS
Predicting Stock
Market Prices
What machine learning model is best suited to attempt to predict stock market performance from historical data? (This is an experimental, hypothetical project).
DATA SCIENCE SKILLS
Mining concessions
in Gabon
Gabon is often portrayed as an example on how to preserve the rainforest. However, mining concessions are a threat to planetary health.
REPORT
Domestic falls rates
during the pandemic
In this report, I tried to investigate whether increased time spent at home during the Covid-19 pandemic had an effect on hospitalizations due to domestic fall injuries.
REPORT
* Name of the company is fictitious