Portfolio

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Projects

Analysis of Congestion in Metro Manila

My final project in Python for Data Science, (USDC DS MicroMasters)

• Data used in this study are collected from government open data websites.
• Explored data to examine population distribution and factors affecting it.
• Created a regression model to predict population.

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Handling Time Study

• Studied distribution of historical data to calibrate operational metrics.
• Created a model to predict processing time given the project details.

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Predicting Sales Probability Using Logistic Regression

• A simple demonstration of Python implementation in Power BI.
• Created a logistic regression model that classifies and predicts the probability of closing a sale given the current project life, to manage team efforts.

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PBI Report: Departmental Downsizing

• Utilizes field parameters feature (12/22 release) for quickly toggling columns in visualizations.
• Uses object visibility to create pop up windows.

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PBI Report: 2022 Polish IT Job Board Opportunities

• Data visualization of IT Jobs in Poland from 2022 dataset using Power BI.
• Dataset credits: RSKRIEGS on Kaggle