MANASSE VITA

Analytical and driven Computer Science student with hands-on experience in data science, full-stack development, cloud engineering, and cybersecurity. Demonstrated ability to build AI-powered applications and data pipelines, with strong foundations in Python, SQL, and web technologies. Adept at solving real-world problems through end-to-end project work—from financial modelling and data transformation to visualization and secure deployment. Passionate about leveraging technology to create impactful, user-focused solutions, with a growing portfolio of AI, data engineering, and security-focused projects.

AI-Powered Rent vs Buy Financial Advisor (UK)

Final Year Project | Python, Flask, React, Google Gemini API, Financial Modeling

• Built a full-stack web app that helps UK users decide between renting or buying based on economic models and user inputs.
• Integrated Google Gemini AI to generate personalized financial advice using prompt engineering.
• Developed a backend system that calculates rent growth, home appreciation, inflation, investment returns, and opportunity cost.
• Designed a clean React UI with a contextual AI chat assistant, typing indicators, and financial breakdown outputs.
• Deployed with Vercel (frontend) and Flask (backend) for scalable, production-ready use.

End-to-End Azure Data Engineering Pipeline

Course Project | Azure Data Factory, Azure Databricks, Azure Data Lake Gen2, Azure Synapse Analytics

• Designed and implemented a full ETL pipeline to ingest, transform, and visualize large datasets on Azure.
• Used Azure Data Factory to extract data, Databricks for data cleaning and transformation with PySpark, and stored output in Data Lake Gen2.
• Connected transformed data to Synapse Analytics for dashboarding and analysis using SQL and Power BI.
• Demonstrated cloud proficiency and practical understanding of scalable data workflows.

Strawberry Greenhouse Monitoring System

Data Analysis Project | Python, Pandas, Matplotlib, Jupyter Notebook

• Analyzed IoT sensor data (humidity, temperature, IR readings) to assess conditions for strawberry cultivation in Chichester.
• Performed data cleaning, exploratory data analysis, and pattern detection to support smart farming recommendations.
• Created reproducible Python scripts and a written technical report as part of an academic submission.
• Delivered insights into greenhouse optimization using visualization and statistical summaries.

OWASP Juice Shop Security Lab

Cybersecurity Lab | Ethical Hacking, OWASP Top 10, Burp Suite, Docker

• Completed over 10 challenges in OWASP Juice Shop to identify and exploit web vulnerabilities (e.g. XSS, SQLi, IDOR).
• Deployed Juice Shop using Docker and documented remediation techniques for each vulnerability.
• Applied OWASP Top 10 principles to strengthen awareness of secure web development practices.
• Gained hands-on experience in ethical hacking and application security.

• Language Learning
• Reading
• Playing Sports
• Technology
• Travelling