DATA ANALYST
Results-driven Data Analyst with a strong mathematical foundation and expertise in pattern recognition, abstraction, and problem-solving. Adept at synthesizing complex data into actionable insights and communicating findings clearly to both technical and non-technical audiences. Skilled in constructing mathematical models, validating hypotheses, and supporting data-driven decisions in fast-paced, evolving business environments. Proficient in tools such as Python, SQL, Power BI, and Excel, with a proven ability to combine data and strategy. Gained hands-on training in data cleaning and preparation, data visualization, data privacy and ethics. Specialized in MySQL and PostgreSQL for finance analytics, marketing analytics, sales and service analytics, and data governance. Capable in applying data-based decision-making, cost-benefit analysis, and strategic data interpretation across business contexts, with a solid foundation in both core and advanced data analysis tools and methods.
Exploratory Data Analysis (EDA)
Python libraries — Pandas, NumPy, Matplotlib (September 2024)
Exploratory Data Analysis (EDA)
Python libraries — Pandas, Matplotlib, Seaborn, and Scikit-learn (October 2024)
College of Science and Mathematics, Mindanao State University — Iligan Institute of Technology (2014–2018)
Analytical Skills
Communication & Interpersonal Skills
Professional & Workplace Skills
Data & Ethics-Related Skills
Data Analysis & Modeling
Data Preparation & Cleaning
Experimentation & Testing
Analytics for Specific Domains
Process Optimization & Operations
Data Governance & Quality
Programming
Database Management
BI & Visualization
Version Control & Collaboration
Analytics Platforms