Ifeoluwa Olusegun

I am a self-motivated and goal-oriented Computer Engineering student with a strong passion for building intelligent systems that solve real-world problems. My journey in technology began with software development, where I designed and developed web applications to address practical challenges. As my interests evolved, I expanded into data science and machine learning, with a growing focus on developing predictive models and intelligent solutions powered by data.

I have hands-on experience with a range of technologies, including HTML, CSS, JavaScript, React, TypeScript, MongoDB, Python, SQL, Power BI, and Microsoft Excel. Through academic projects, personal initiatives, and continuous learning, I have developed strong analytical, problem-solving, and software development skills. I also maintain a keen interest in embedded systems and computer networking, which complement my broader understanding of technology and engineering.

A quick learner with strong communication and teamwork abilities, I thrive in collaborative environments and adapt readily to new tools, technologies, and challenges. I am eager to further develop my technical and professional competencies while contributing meaningfully as an intern or junior professional in software development, data science, machine learning, or related technology-driven roles.

• Maintained a First Class Honors CGPA of 4.71/5.00 , demonstrating academic excellence, discipline, and strong analytical ability in Computer Engineering coursework.
• Successfully designed and implemented multiple real-world software projects by translating theoretical knowledge into functional applications, including full-stack web systems with dynamic content management.
• Built and deployed admin-driven platforms that allow non-technical users to manage data and media independently, improving usability and long-term maintainability of projects.
• Gained hands-on experience in embedded systems and hardware interfacing through academic projects, working with microcontrollers, RF communication modules, and circuit-level debugging.
• Served as President of the Christian Campus Fellowship , leading and coordinating activities for 100+ students , while developing strong leadership, communication, and organizational skills.
• Actively contributed to developer communities (including GDSC), participating in collaborative learning, technical discussions, and peer-driven problem solving.
• Consistently demonstrated self-driven learning , exploring modern tools, frameworks, and best practices beyond the classroom to stay aligned with industry standards.

• Full Stack Web developer, CodeAlpha - 2025

DR. OKOMBA NNAMDI

HOD, Computer Engineering, FUOYE

nnamdi.okomba@fuoye.edu.ng

• Portfolio Websites ( Akinboss, PrimeAimer , DhneeGeek )
  Designed and developed responsive portfolio websites with a strong focus on clean UI, performance, and easy content updates.
• Church Management & Information System ( ACCF Ikole Chapter )
  Built a web-based system to manage church information, events, media, and members, translating real organizational needs into a functional digital solution.
• Embedded Systems Projects
  Designed and simulated Door Locking and Home Security systems using Arduino Uno on Proteus, reinforcing hardware interfacing and system logic concepts.
• AI-Powered Web Applications ( SlideGen AI , TomiwaReads )
  Developed AI-assisted platforms focused on content generation and user interaction, combining modern web technologies with applied AI concepts.
• Wilson Mastery Hub Accountability App( WMH-ACT ): Built a full-featured accountability application that helps individuals stay committed to their goals through task management, progress monitoring, activity tracking, and personalized accountability workflows, improving user productivity and consistency.

DATA SCIENCE PROJECTS AT WORLD QUANTS UNIVERSITY

• Project 1: Housing in Brazil Analyzed real estate data from multiple regions in Brazil to uncover patterns in housing prices and property characteristics. Conducted extensive data cleaning, exploratory data analysis, and statistical investigations to understand the relationship between location, property size, and market value. Built visualizations and data driven insights that highlighted key factors influencing housing prices while strengthening foundational skills in data analysis, data visualization, and storytelling with data.
• Project 2: Apartment Sales in Mexico City: Explored housing market trends in Mexico City by analyzing apartment sales data and identifying factors that influence property values. Performed data wrangling, geographic analysis, and feature exploration to reveal how neighborhood characteristics and apartment attributes affect pricing. Developed visualizations and analytical reports that transformed raw data into actionable insights for understanding urban real estate markets.
• Project 3: Air Quality Monitoring in Nairobi: Investigated air pollution trends in Nairobi using environmental sensor data and time series analysis techniques. Collected, cleaned, and analyzed air quality measurements to identify patterns, seasonal fluctuations, and potential environmental concerns. Built predictive models to forecast pollution levels and created visualizations that communicated environmental insights to support data informed decision making.
• Project 4: Earthquake Damage Prediction in Nepal: Developed machine learning models to predict the severity of building damage caused by earthquakes using structural, geographic, and demographic data. Processed large datasets stored in SQL databases, engineered predictive features, and evaluated multiple classification algorithms including Logistic Regression and Decision Trees. Delivered a predictive solution capable of assisting disaster response planning and risk assessment efforts.
• Project 5: Customer Segmentation in the United States: Applied unsupervised machine learning techniques to identify meaningful customer groups based on demographic and behavioral characteristics. Utilized clustering algorithms to uncover hidden patterns within customer data and generate data driven market segments. Created visualizations and analytical reports that demonstrated how organizations can better understand customer behavior and improve targeting strategies.
• Project 6: Bankruptcy Prediction in Poland: Built predictive models to assess the likelihood of company bankruptcy using financial and accounting indicators. Conducted feature selection, data preprocessing, and model evaluation using classification algorithms to distinguish between financially stable and at risk companies. Generated insights that could support financial institutions, investors, and business stakeholders in making informed risk management decisions.
• Project 7: A/B Testing and Experiment Analysis: Designed and analyzed controlled experiments to evaluate the effectiveness of business decisions using statistical testing techniques. Applied hypothesis testing, confidence intervals, and data visualization methods to measure the impact of experimental changes on user behavior and business outcomes. Demonstrated the practical application of statistical analysis in evidence based decision making and product optimization.