Merging public datasets from the city of Los Angeles with web scraped data to statistically analyse the impact of marijuana legalization.

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Performing A/B testing to analyse the impact of displaying customer comments and evaluations on product sales.

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Exploring the biases that exist in multimodal emotion recognition systems in relationship to the modalities utilized (audio, video, text).

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Employing web scraping and a Bidirectional Encoder Representations from Transformers (BERT) neural network to analyse customer sentiment on multiple Apps competing in the work management space.

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Scraping theme-specific articles from main news outlets, then evaluating overall sentiment through various NLP techniques.

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Gathering, processing, storing and displaying data on multiple quality of life criteria for neighborhoods in Los Angeles.

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Employing web scraping techniques to filter and assess the speeches of NY Governor Andrew Cuomo and NY Mayor Bill de Blasio during the covid-19 pandemic.

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Visually exploring earthquake data with various R visualization packages.

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Extracting, modeling and analysing Key Performance Indicators (KPIs) from a retail store dataset.

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Using Spark and MapReduce to analyse a large dataset which requires the appropriate big data tools for insight extraction.

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Delving into Exploratory Analysis and Feature Selection to extract insights from IBM's Human Resources dataset containing employee information.

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Designing a distributed computing algorithm to identify items frequently bought together on purchasing history data.

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Crime analytics via Frequent-Pattern Growth for mining association rules between locations, crimes and resolutions.

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Building a scalable algorithm for estimating unique active users in a size-fluctuating stream of data.

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