I am a detail-oriented Full-Stack Developer with a BSc (Hons) in ICT and a passion for building scalable, user centric applications. With a strong foundation in Java, Python, and JavaScript, I specialize in creating robust systems from Internal Help Desk platforms to AI-powered predictive models. Having worked in IT support and independent web hosting, I understand the importance of reliability and clear communication. Whether you need a custom web app or a complex database integration, I’m here to turn your technical requirements into high-performing reality.

Takunda T. Denga

I am a detail-oriented Full-Stack Developer with a BSc (Hons) in ICT and a passion for building scalable, user centric applications. With a strong foundation in Java, Python, and JavaScript, I specialize in creating robust systems from Internal Help Desk platforms to AI-powered predictive models. Having worked in IT support and independent web hosting, I understand the importance of reliability and clear communication. Whether you need a custom web app or a complex database integration, I’m here to turn your technical requirements into high-performing reality.

Available to hire

I am a detail-oriented Full-Stack Developer with a BSc (Hons) in ICT and a passion for building scalable, user centric applications. With a strong foundation in Java, Python, and JavaScript, I specialize in creating robust systems from Internal Help Desk platforms to AI-powered predictive models. Having worked in IT support and independent web hosting, I understand the importance of reliability and clear communication. Whether you need a custom web app or a complex database integration, I’m here to turn your technical requirements into high-performing reality.

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Experience Level

Expert
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Language

English
Fluent

Work Experience

IT Intern at National Pharmaceutical Company of Zimbabwe (NatPharm)
May 6, 2024 - April 30, 2025
Developed a Help Desk Management System to improve IT support efficiency by centralizing ticket logging, tracking, and analysis. Designed a user-friendly interface for staff to submit and monitor tickets, implemented dashboards to visualize metrics (response time, ticket volume, resolution rates), and used MySQL with JDBC for data storage and retrieval. Leveraged JFreeChart and Swing components for analytics visualization. Gained practical experience in full-stack Java development and database integration.

Education

Bachelor of Science Honors in Information, Communication & Technology at Arrupe Jesuit University, Zimbabwe
January 1, 2022 - January 1, 2025

Qualifications

Introduction to GIS Mapping & Spatial Data Analysis
July 1, 2025 - October 3, 2025
YOUTEX Future Leaders: hip 2023 (Virtual)
January 1, 2022 - December 31, 2023
Foundation of Leadership Program
January 1, 2022 - December 31, 2023
GIS Mapping & Spatial Data Analysis Certification
July 1, 2025 - October 3, 2025

Industry Experience

Software & Internet, Education, Healthcare, Professional Services, Other, Computers & Electronics, Real Estate & Construction, Agriculture & Mining, Retail
    paper Responsive UI Component Library

    Role: Frontend Developer

    Description: Created a collection of modular, responsive website templates and components designed for rapid deployment.

    Focus: Prioritized “mobile-first” design, cross-browser compatibility, and clean code principles to ensure accessibility and performance.

    Tech Stack: HTML5, CSS3, JavaScript, React.js

    paper Enterprise Help Desk Management System

    Role: Lead Developer (Intern)

    The Challenge: NatPharm required a solution to replace manual logging processes and centralize IT support for over 100 staff members.

    The Solution: I engineered a custom internal Help Desk Management System using Java (Swing) and MySQL. The system featured a relational database schema optimized for data integrity and secure record handling.

    Key Features:

    Real-time analytics dashboards built with JFreeChart to track ticket volume and team performance.

    Automated workflow for ticket resolution, significantly reducing wait times.

    Tech Stack: Java, MySQL, JFreeChart.

    paper AI Powered Student Performance Prediction System

    The AI-Powered Student Performance Prediction System is a proactive educational tool designed to forecast academic outcomes and enable early intervention for at-risk students.

    Initially developed with a focus on Arrupe Jesuit University (AJU), the system leverages machine learning to transform raw academic data into actionable insights for educators and administrators.

    Core Components
    Predictive Analytics: Utilizes algorithms like Random Forest and Neural Networks to identify patterns in grades, attendance, and socio-economic factors to predict future performance.

    Data Integration: Processes a diverse range of inputs, including assignment scores, extracurricular involvement, and historical academic records stored in a MySQL database.

    Intervention Dashboard: Provides a visual interface where instructors can monitor student progress in real-time and receive automated alerts for students falling below performance thresholds.

    Personalized Recommendations: Employs NLP and AI to suggest tailored learning paths and resources based on a student’s specific strengths and weaknesses.

    Technical Stack
    Backend & AI: Python (Flask/Django), Scikit-learn, and TensorFlow.

    Frontend: React, HTML5, CSS3, and JavaScript for an interactive dashboard.

    Database: MySQL for structured student and performance data management.