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Data Analyst with less than a year in Big Data & AI
Second-year Computer Science student specializing in Big Data & AI at UCAO-UUT. I combine strong analytical skills with hands-on experience in SQL, Excel, data visualization, and machine learning. I have built end-to-end data pipelines on real-world datasets and delivered actionable insights through dashboards and reports. Detail-oriented and results-driven, I am eager to contribute to a forward-thinking team as a Data Analyst.
UCAO-UUT
Bachelor's · CS / Big Data
August 1, 2024 – Present
C.S. Anne & Albert
High School Diploma
N/A – May 31, 2024
Fraud Detection & Data Analysis
June 1, 2024 – June 1, 2026
Processed and analyzed a real-world credit card transaction dataset (284K+ records) to detect fraudulent patterns. Applied SMOTE for class imbalance, trained Logistic Regression, Random Forest & XGBoost models, achieving 99%+ accuracy. Produced data visualizations (confusion matrices, ROC curves, SHAP plots) to communicate model performance and key insights.
Travel Management Application
June 1, 2024 – June 1, 2026
Designed and built a full OOP application modeling customers, trips and bookings. Structured codebase using classes, inheritance and encapsulation principles. Implemented core business logic: booking creation, trip scheduling, entity management.
Student Data Management
June 1, 2024 – June 1, 2026
Designed a normalized relational database schema from scratch. Wrote SQL queries for filtering, sorting, joining and extracting data. Performed data analysis and delivered actionable reporting.
Student Management Application
Google Data Analytics Certificate
June 1, 2026 – Present
June 1, 2024 – June 1, 2026
Developed a full CRUD application with structured backend and simple UI. Managed relational data storage and built an interface for data visualization.
Data Visualization & Reporting
June 1, 2024 – June 1, 2026
Cleaned and restructured messy datasets and built interactive dashboards for business reporting. Built pivot tables, VLOOKUP/IF formulas and dynamic charts to transform raw data into clear, actionable reports.
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of technical skills relevant to data analysis, including machine learning, database management, and data visualization. The pursuit of a Google Data Analytics Certificate and continuous learning in Tableau, Power BI, Matplotlib, and Seaborn indicates a strong drive for professional development and alignment with data-centric roles. However, the lack of professional experience and focus solely on academic projects might require a more structured onboarding into a corporate environment.
Soft Skills & Operational Fit
The candidate highlights being detail-oriented, motivated & autonomous, possessing an analytical mindset, and being a team collaborator. These traits are beneficial for a Data Analyst role, indicating a proactive and thorough approach to data-driven tasks.