Aries Dimaano

I am an enthusiastic and motivated aspiring Data Scientist with a solid foundation in data analysis, statistical modeling, and machine learning. I completed a Master Diploma in Data Science and Artificial Intelligence and delivered a capstone project on credit card usage segmentation.

In a recent Data Scientist internship at Spinnaker Analytics LLC, I developed ML models for rainfall forecasting and household energy consumption, engineered predictive solutions for salary estimation and bankruptcy risk, and performed product and geospatial clustering to inform business and renewable energy strategies.

My background includes technical roles in broadcast engineering and master control, where I ensured system availability, managed media asset operations, and provided cross-team technical support—strengthening my troubleshooting, coordination, and systems-thinking skills.

I am proficient in Python, SQL, ML libraries (scikit-learn, TensorFlow, Keras), data visualization tools (Power BI, Tableau, Plotly), and collaborative workflows with GitHub. I am eager to apply practical skills in a data science role that supports impactful, data-driven decision making.