Real-Time E-commerce Demand Forecasting
Designed a streaming data pipeline and compared ARIMA, XGBoost, and LSTM for real-time e-commerce demand forecasting, using more than 44,000 transaction records.
MSc thesis · GCTUI'm Francis Amoah Nuako, an MSc Big Data & IoT candidate and software developer based in Accra, Ghana. I work across data analytics, machine learning, software systems, and connected technologies.
01 / ABOUT
My work sits where research questions meet working systems. I enjoy turning complex data into useful insights and building the infrastructure that makes those insights accessible.
My background combines information technology, big data, and healthcare. That mix shapes how I approach problems, from forecasting demand to developing software and working with connected devices.
02 / SELECTED WORK
Thesis research, coursework, independent projects, and professional engineering. More experiments live on GitHub ↗.
Designed a streaming data pipeline and compared ARIMA, XGBoost, and LSTM for real-time e-commerce demand forecasting, using more than 44,000 transaction records.
MSc thesis · GCTUExplored product recommendations and advertising-engagement prediction using machine learning and synthetic customer interaction data.
View repositoryDeveloped an Arduino-based monitoring system to collect environmental sensor readings and visualize changes in air quality.
MSc coursework · GCTULeading development of a listings platform, including structured category data, REST APIs, filtering, and cloud-based deployments.
Co-founder & Lead DeveloperCards are labeled as thesis research, coursework, an independent project, or professional engineering. Public repositories are linked; unpublished results are not included.
03 / EXPERIENCE
I combine hands-on engineering with research, data analysis, and technical communication.
CITSET Lab · Ghana Communication Technology University
Contributed to institutional IT research through data collection, analysis, cloud-based data workflows, and technical reporting.
Pepapa Ghana Classifieds
Build and maintain backend systems, APIs, database structures, and cloud infrastructure for a classifieds platform.
Digitrust Technologies
Developed business and point-of-sale systems, with work spanning databases, transaction processing, and offline synchronization.
04 / TOOLKIT
Python · SQL · PHP · JavaScript · TypeScript
Pandas · NumPy · Scikit-learn · Streamlit
PostgreSQL · MySQL · MongoDB · Apache Kafka
Laravel · Node.js · Docker · Git · Nginx · Hetzner
05 / BEYOND CODE
I create practical technology tutorials and explain software concepts to a community of more than 185,000 followers.
06 / CONTACT
I'm always interested in thoughtful conversations about data, intelligent systems, and research collaborations.
[email protected]