Tamanda Kaunda

Led the architecture of a communications and analytics platform supporting African SMEs. Engineered automated Python workflows and integrated LLM prompt structures to optimize B2B digital data-driven marketing systems and audience analytics pipelines.

Designed data-informed content orchestration strategies across West African markets. Automated a 48-post publication calendar and applied multi-platform performance metrics analytics to monitor campaign engagement and scale digital visibility.

Utilized Python to perform qualitative data synthesis and sentiment analysis on a corpus of 500+ unstructured reviews. Applied text-mining and open-ended survey coding methodologies to identify behavioral patterns and corporate pain points.

Designed multi-channel campaigns for 5 sister brands, yielding 80,000+ views in 4 days. Maintained cloud-based digital asset libraries to optimize engineering workflows.

Engineered automated data-processing pipelines that scaled system information throughput and audience reach by 625%. Managed, cleaned, and organized large-scale datasets tracking over 70,000 active digital impressions.

Grade: First Class (85.4%)

Activities and societies: Mastercard Foundation Scholar; Honors Thesis on Explainable AI (XAI) architectures.

Pursuing a Bachelor of Science in Software Engineering with a specialization in Machine Learning. Awarded the Mastercard Foundation Scholarship and consistently ranked in the top 5% with a First Class average.

Intensive AI/ML program covering linear algebra, probability, optimization, and neural network fundamentals. Applied Python (NumPy, Pandas) to implement algorithms and analyze real datasets.

Activities and societies: Data Community Africa Scholarship

Completed an Associate's Degree in Data Science with coursework in Python, R, Machine Learning, Data Communication, and Git Version Control.