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Data Science with 2+ years in Machine Learning & Data Analysis.
I am proficient in utilizing statistical methods, econometric models, and machine learning algorithms to extract valuable insights from complex datasets. This evidently proves my ability to translate data-driven findings into actionable business strategies and policy recommendations. Moreover, basic accounting skills have enabled me recognize the necessity of establishing and maintaining records that are up to date and reliable for future reference. Additionally, I am technically proficient in combining economic principles and data techniques to drive innovation and optimize business outcomes for research projects. I am seeking to leverage my unique blend of skills by ensuring all data manipulation tasks are conducted to the required standards.
MORINGA SCHOOL
DATA SCIENCE · Machine learning, data analysis and data visualization
N/A – Present
UNIVERSITY OF NAIROBI
BACHELOR OF ECONOMICS AND STATISTICS · Economic analysis, statistical and predictive modeling
N/A – Present
DALWORTH STATISTICAL AND RESEARCH TRAINING CENTRE
STATISTICAL PACKAGES FOR DATA SCIENCE · SPSS, STATA, Advanced Excel, R-GUI
N/A – Present
VISION INSTITUTE OF PROFESSIONALS
CPA FOUNDATION LEVEL · Accounting and book-keeping
N/A – Present
SAVANNAH INFORMATICS LIMITED
DATA ANALYST
June 1, 2024 – Present
Nairobi, Nairobi, Kenya
SAVANNAH INFORMATICS LIMITED
DATA SCIENCE FELLOW
February 1, 2024 – May 31, 2024
Nairobi, Nairobi, Kenya
SOLUTION POINT INSURANCE AGENCY
JUNIOR ACCOUNTANT
October 1, 2022 – March 31, 2023
Kenya
KENYA NATIONAL BUREAU OF STATISTICS
JUNIOR RESEARCHER
January 1, 2022 – June 30, 2022
Kenya
Cultural Fit Analysis
The candidate's background includes roles in data analysis, data science, accounting, and research across different organizations. This diversity suggests adaptability and a willingness to engage with various types of data and business problems. The blend of economic, statistical, and data science skills aligns well with roles requiring both analytical rigor and practical application, indicating a good fit for data-driven environments that value interdisciplinary approaches.
Soft Skills & Operational Fit
The candidate's experience in developing data narratives and delivering presentations suggests good communication and presentation skills. Their work in enforcing data governance and assessing workflows indicates an attention to detail and process improvement mindset. The diverse background in accounting and research also points to adaptability and a structured approach to problem-solving.