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Data Analyst with less than a year in Big Data & AI
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Assessing your cultural and operational fit
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
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 Management Application
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.
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.
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.
Google Data Analytics Certificate
June 1, 2026 – Present
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.