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@danielagyekumamakye
I am a statistician and data scientist building scalable ML apps to drive data-driven decisions.
I am an accomplished statistician and data scientist with strong foundations in statistical analysis, machine learning, app development, and data mining. I build scalable applications and use data wrangling to extract actionable insights from large datasets.
My MTech thesis produced a Real-Time Fraud Detection System: an ensemble (Random Forest + Logistic Regression) with 92% precision deployed as a FastAPI service. I engineered a FastAPI backend with JWT authentication capable of processing 500+ requests/sec with latency under 50ms.
I have applied analytics in industry and research, developing forecasting models, dashboards, market-research analyses, and statistical models to improve decision-making and operational performance. I also teach as a teaching assistant and have supported students and clients with thesis and journal work.
I lead with a focus on impact and collaboration, demonstrated by my student chapter presidency in the American Statistical Association where I organized events, workshops, and industry collaborations. I am passionate about using data and software to solve social challenges and improve business outcomes.
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Work history, roles, and key accomplishments
Accra Technical University
Supports instruction and research in the Department of Computer Science, delivering tutorials, grading, and lab supervision for undergraduate students.
IT Solutions
Jan 2015 - Jan 2020 (5 years)
Conducted market research and data analysis for clients across industries, developing statistical models and visualizations that improved marketing and operational performance.
Accra Brewery Ltd.
Jan 2009 - Jan 2011 (2 years)
Analyzed sales and market data to optimize inventory management and sales strategies; developed forecasting models and dashboards that informed management decisions.
Degrees, certifications, and relevant coursework
Master of Technology, Data Science and Industrial Analytics
MTech in Data Science and Industrial Analytics with a thesis developing a real-time fraud detection FastAPI web app using an ensemble (Random Forest + Logistic Regression) achieving 92% precision and deployed with JWT authentication processing 500+ requests/sec.
Certificate, Python and Data Science
Completed DataQuest certificates in Python Programming, SQL, Python for Data Analysis, and Intermediate Python for Data Science in 2024.
Bachelor of Science, Statistics
2002 - 2006
Activities and societies: Relevant coursework: Probability Theory, Statistical Inference, Regression Analysis, Time Series Analysis, Statistical Computing.
Bachelor of Science in Statistics covering probability theory, statistical inference, regression analysis, time series analysis, and statistical computing (2002–2006).
Certificate in Science, Science
1998 - 2000
Completed secondary education with a Certificate in Science, focusing on science subjects (1998–2000).
Software and tools used professionally
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