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Data Science Intern
Data analyst in fintech who created payment anomaly detection scripts and enriched risk data with open banking APIs.
KenyaData Science Intern at Hurupay Inc.
Analyzed user and transaction data to surface mobile-first engagement patterns, built anomaly detection scripts to flag fraudulent transactions, and managed MongoDB and PostgreSQL databases for fraud detection and BI reporting.
SQLMongoDBPostgreSQLPythonAnomaly DetectionRisk ScoringTransaction MonitoringAmplitudeIntercomTypeScriptBanking APIs
Supported 50+ students in lab sessions, debugging Python and R code and explaining statistical concepts, contributing to a 15% average improvement in student performance on data analysis projects.
PythonR
Pursued a Bachelor of Science in Statistics with coursework in machine learning, probability, and statistical inference.
Completed a Data Protection Course covering data protection principles, privacy law frameworks, and lawful data processing.
Completed the Google Data Analytics Professional Certificate covering data cleaning, SQL, visualization, and R programming.
Completed a Machine Learning course on Kaggle.
Completed a Software Engineering Certificate covering low-level programming, Python, data structures, and web development fundamentals.
Completed a Virtual Assistant Certification covering administrative coordination, communication, and productivity tools.
Profile sourced from Himalayas.