Projects

Here you can find a non-exhaustive collection of projects I've worked throughout the years for several industries, describing the challenge the client had, and how data science and artificial intelligence techniques help us solve them.

Unraveling Consumer Engagement with Graph Analysis

Leveraging graph technology to decipher user engagement patterns within a multi-functional super app.

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Leveraging Data Science for Occupational COVID-19 Risk Assessment

Utilizing a data-driven approach to ascertain factories with elevated COVID-19 risk by integrating public health data and private company data.

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Utilizing Association Rules and Apriori Analysis to Uncover Customer Behavior During a Promotional Event

An in-depth analysis using Association Rules and Apriori algorithm to understand customers' store usage patterns during a shopping mall promotional campaign.

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Using Geospatial Data Science to Evaluate Advertisement Strategies for App Promotions

Harnessing geospatial data to determine user behavior in response to physical advertisements for a promotional campaign within a shopping mall

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Proactive Train Maintenance through Predictive Modelling

Harnessing machine learning to forecast potential train failures, facilitating proactive maintenance and minimizing operational disruptions.

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Leveraging Natural Language Processing (NLP) for Actionable Insights from Customer Reviews

Analyzing user feedback from online reviews to generate actionable insights and identify areas for improvement.

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Customer Segmentation via RFM Analysis

Leveraging Recency, Frequency, and Monetary (RFM) value analyses to segment customers, enabling the delivery of targeted marketing communications for each distinct group.

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Anticipating Churn in Pay TV Subscriptions

Leveraging predictive modeling to determine customers most likely to discontinue their TV subscription, and identifying the key contributing factors.

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