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Miscellaneous
Back-end
ETL Datawarehouse
Business Intelligence
Designed and implemented automated data architectures; collected and extracted datasets; integrated, transformed, and cleaned data within SQL Server; developed Power BI dashboards; applied machine learning techniques in Python to generate actionable insights.
Drafted business plans and conducted feasibility studies; performed market research; assisted in drafting financing proposals; conducted financial models and due diligence.
Assisted in setting up commitments; performed tests and validated assertions; assisted in physical inventories; reported weaknesses and drew conclusions on working papers.
Specialized Bachelor in Business Data Analysis.
Master’s Degree in Management Engineering with a specialization in Data Science.
Master's Degree in Economics and Management, awaiting defense.
Master's Degree in Economics and Management.
Bachelor in Economics and Management.
G.C.E Advanced Level.