a graduate in Mathematics (non-education track) with a strong interest in data analysis and programming, particularly in using Python. My background has provided me with strong analytical skills and the ability to solve complex problems effectively. I have a good understanding of statistics, algorithms, and data modeling, as well as experience applying these concepts in various projects.
Transforming raw data into actionable insights using data wrangling, cleaning, analysis and data visualization using tools like Python and SQL.
Applying machine learning techniques to build predictive models and solve complex problems using algorithms like regression, classification, and clustering.
Using deep learning techniques to develop advanced models for tasks like image recognition, price prediction, and anomaly detection.
This e-commerce analysis project involved data wrangling, cleaning, and exploratory analysis to uncover sales trends and customer behavior. Key insights were visualized and deployed interactively using Streamlit.
In this machine learning portfolio project, I analyzed customer behavior data using K-Means clustering to segment customers into distinct groups. I then applied the Random Forest classification algorithm to predict customer categories and identify patterns for targeted marketing strategies.
This project is currently under development.
Check out my other work such as Database and Login Schema, Thesis, NLP, and Cutting Stock Problem using Genetic Algorithm on my GitHub Repository!
For years, I have been honing my expertise in data analysis and continuously developing my technical and analytical skills. Below is a summary of the abilities I bring to the table, from programming and data management to effective communication and problem-solving. These skills enable me to approach challenges with precision and deliver impactful solutions.
Senior High School - Natural Science
Bachelor's Degree - Mathematics
MSIB Batch 6
