Developed an Excel-based financial model for a shawarma shop, projecting case scenarios and enhancing profitability analysis.
Analyzed global water access data, revealing income and rural-urban disparities, and informing targeted public health interventions.
Used Power BI to analyze water accessible, gender composition and crime data, informing infrastructure planning and policy-making.
Analyzed water data in Maji Ndogo, identifying disparities and improving access and quality through efficient management solutions.
Revolutionized Maji Ndogo farming using Python toolkits, boosting crop yield and reducing waste through precision agriculture.
Built predictive models using machine learning techniques to gain insights on agricultural yield, population growth, and inform policy decisions.
Applied advanced machine learning techniques to classify text and predict wine quality, achieving high accuracy in both projects.
Applied unsupervised learning techniques, including clustering and dimensionality reduction, to extract insights and improve data visualization.
Used AutoGluon to predict bike-sharing demand, optimizing distribution and availability with accurate predictions and robust data analysis.
Built a character recognition system with 97.49% accuracy using PyTorch and the MNIST dataset.
Built and deployed a CNN model for accurately classifying landmarks from images using both custom CNNs and transfer learning techniques, achieving 76% accuracy.
Developed an image classification model for identifying delivery vehicles to optimize routing and loading efficiency.
Classified dogs images into different breeds, demonstrating effective image classification and model evaluation.
Develop an AI application for classifying flower species using deep learning, featuring data preprocessing, model training, and inference capabilities.
Developed Ambrosial, a Flask-based web app for culinary enthusiasts, featuring user authentication, post creation, and profile management.
Mastered Linux shell basics, web infrastructure, and DevOps skills through System Engineering projects, enhancing system engineering capabilities.
Mastered C programming fundamentals to advanced topics, developing skills in problem-solving and low-level programming through C projects.
Mastered Python concepts and developed skills in SQL, web scraping, and network programming through ALX Africa Higher Level projects.
Developed Simple Shell, a UNIX command line interpreter in C, demonstrating proficiency in low-level programming and system software development.
Developed efficient binary trees in C, optimizing functions and mastering various techniques, demonstrating strong problem-solving and programming skills.
Implemented various sorting algorithms in C, enhancing understanding of algorithm efficiency and demonstrating proficiency in coding and teamwork.
Developed a C-based Monty ByteCode interpreter using a stack data structure, showcasing skills in C programming and data structures.
Paschal Ugwu is a highly skilled Data Analyst, Business Analyst & Researcher, and AI Innovator based in Nigeria. With a strong foundation in data sourcing and collection, financial modeling, and advanced analytics, Paschal excels in transforming complex data into actionable insights.
Specializing in machine learning, predictive modeling, and data visualization, Paschal has successfully led projects across diverse fields such as finance, supply chain management, and market research. His technical proficiency includes expertise in Python, SQL, Power BI, and advanced machine learning frameworks like Scikit-learn, TensorFlow, and PyTorch.As a dedicated professional, Paschal is passionate about leveraging data to drive strategic growth and inform executive decision-making. His ability to collaborate with cross-functional teams and effectively communicate complex insights to stakeholders has consistently resulted in measurable impacts and optimized operations.
Paschal is currently available for freelance opportunities, bringing his extensive experience and innovative approach to roles in data science, business analytics, and financial modeling. With a proven track record of delivering high-quality results, he is committed to helping organizations achieve their goals through data-driven strategies.
BSc in Biochemistry (First-Class Honours)
Jan 2016 - June 2020
Data Science
May 2023 - Jul 2024
Software Engineering
Jun 2023 - Aug 2024
Machine Learning Nanodegree
May 2023 - Aug 2024
ugwupaschal@gmail.com
+234 816 620 7095
Lagos State, Nigeria