NORMINA KASAN

Mathematics graduate from the University of the Philippines Diliman with analytical mindset and attention to details with base in engineering, programming and data analysis. Capable of demonstrating the application of mathematical theories and techniques for problem resolution. Position in engineering, coding or any math related area is required in order to develop the potential and participate in interesting projects. Attributed with wonderful analytical skills and strong people’s skills, along with a strong interest to expand one’s knowledge.

• Certified Data Scientist – Analytics Association of the Philippines
• Machine Learning Specialization – Coursera
• Python for Data Science and Machine Learning – Udemy
• Advanced Excel for Data Analysis – LinkedIn Learning
• Project Management Professional (PMP) – Project Management Institute

President, UP Mathematics Society (MatSci), University of the Philippines Diliman, Diliman, 2022-06-01, 2023-05-31, Organized workshops and seminars on advanced mathematical topics, Led a team of 20 members in various academic and community outreach activities, Increased society membership by 25%, Successfully organized the Annual Mathematics Symposium with over 200 attendees from various universities in Metro Manila Volunteer Tutor, Teach for the Philippines, Quezon City, 2021-01-01, Present, Provided tutoring in mathematics to high school students from public schools in Quezon City, Helped students improve their understanding and performance in math subjects, Tutored over 50 students with a 90% improvement rate in their grades Hackathon Participant, Various Locations in Metro Manila, 2021-06-01, Present, Participated in multiple hackathons focusing on coding and data science, including DOST-PCIEERD's "Hack-A-Tax" and DevCon Philippines' "Hackathon for Good", Collaborated with teams to develop innovative solutions to real-world problems, Won 1st place in the DICT Philippine Startup Challenge 2022

Machine Learning Model for Predictive Maintenance, Developed a machine learning model to predict equipment failures for PLDT's network infrastructure, Implemented data preprocessing techniques to handle missing values and outliers, Achieved a high accuracy rate, reducing maintenance costs by 20%, Designed and implemented the model architecture, Conducted extensive testing and validation to ensure model reliability Mathematical Model for Traffic Flow Optimization in Metro Manila, Created a mathematical model to optimize traffic flow in urban areas, focusing on EDSA, Used differential equations and optimization techniques to minimize congestion, Simulated various traffic scenarios and proposed effective solutions, Developed the mathematical framework for the model, Collaborated with MMDA to integrate the model into traffic management systems Data Visualization Dashboard for Business Insights, Designed and developed an interactive data visualization dashboard using Tableau for SM Supermalls, Integrated multiple data sources to provide comprehensive business insights, Enabled real-time data analysis and reporting for decision-makers, Led the project from concept to deployment, Trained team members on using the dashboard for data-driven decision-making

• Filipino, Native
• English, Fluent
• Spanish, Intermediate

• Advanced Calculus
• Linear Algebra
• Differential Equations
• Probability and Statistics
• Numerical Methods
• Discrete Mathematics
• Mathematical Modeling
• Data Structures and Algorithms
• Computer Programming