Bio
Versatile Data Scientist with experience interpreting and analyzing data. Excellent understanding and proficiency of platforms for effective data analyses, including SQL, Sheets and Excel, Tableau, and R. Strong communication, organizational, and analytical skills.
As an AI data trainer at Appen, I specialize in annotating and labeling large datasets, conducting thorough research and analysis to understand the domain and context of the data, and ensuring the quality, accuracy, and consistency of annotated data. I collaborate with project teams to provide feedback and improve annotation guidelines and processes.
Additionally, as a KaggleX BIPOC Mentee, I have gained valuable growth in data science and machine learning through a 3-4 month mentorship program, through the program I developed a Crop leaf detection model.
As a Data and Tech Consultant at Catalyst Fund, I explored data to uncover valuable insights, created business intelligence dashboards, and provided guidance and technical assistance to startups.
I have been recognized for my achievements, including winning awards in hackathons and receiving prestigious scholarships such as the Oil for Development Bursary Award, UNESCO/People’s Republic of China (The Great Wall) Co Sponsored Fellowships Programme and the Chinese Government’s MOFCOM Scholarship.
These experiences have enriched my expertise in data, climate resilience, and research.