Paschal Ugwu

Data-Driven Operational Strategy: Automated processes in the Maji Ndogo project, improving resource allocation by 30% and reducing errors by 20%, boosting agricultural yield planning.
Predictive Analytics for Impact: Developed forecasting models with 85% accuracy, predicting population growth and agricultural yields, and enhancing resource deployment strategies for rural communities.
Full-Stack & API Development: Built an AirBnB clone with RESTful API integration, handling 10,000+ user interactions per hour, demonstrating scalable, customer-centric solutions.
Socio-economic Data Analysis: Designed Power BI dashboards analyzing 100,000+ rows of socio-economic data, influencing policy decisions, and optimizing strategic planning.

Automated processes in the Maji Ndogo project, improving resource allocation by 30% and reducing errors by 20%, boosting agricultural yield planning.
Developed forecasting models with 85% accuracy, predicting population growth and agricultural yields, and enhancing resource deployment strategies for rural communities.
Built an AirBnB clone with RESTful API integration, handling 10,000+ user interactions per hour, demonstrating scalable, customer-centric solutions.
Designed Power BI dashboards analyzing 100,000+ rows of socio-economic data, influencing policy decisions, and optimizing strategic planning.

Operational Forecasting: Developed a demand prediction model for bike-sharing systems, reducing error by 72% (RMSE from 1.83892 to 0.514), increasing fleet utilization by 15%, and cutting costs by 10%.
AI for Business Solutions: Created landmark classification models with transfer learning (ResNet), achieving 76% accuracy, and supporting applications in tourism, education, and augmented reality.

Data-Intensive Research: Processed over 1 terabyte of genomic data, optimizing workflows to reduce processing time by 35%, accelerating the research cycle for strategic analysis.

Processed over 1 terabyte of genomic data, optimizing workflows to reduce processing time by 35%, accelerating the research cycle for strategic analysis.

Data-Intensive Research: Processed over 1 terabyte of genomic data, optimizing workflows to reduce processing time by 35%, accelerating the research cycle for strategic analysis.

Algorithmic Innovation: Designed algorithms for genomic analysis, improving processing efficiency by 25%, and contributing to bioinformatics research insights.

Designed algorithms for genomic analysis, improving processing efficiency by 25%, and contributing to bioinformatics research insights.

Algorithmic Innovation: Designed algorithms for genomic analysis, improving processing efficiency by 25%, and contributing to bioinformatics research insights.