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The project focuses on a critical and timely theme: assessing the impact of micromobility infrastructure on property values in London. This study sits at the intersection of urban planning, real estate economics, and sustainable transportation, reflecting a growing interest in how emerging mobility solutions contribute to urban life quality.
To aid with the prototyping of AI and machine learning models to augment process operations at the Western Sugar Scotts Bluff manufacturing facility and to further investigate several predictive models for fault detection, optimizing sensor placement, and minimizing plant disruption.
Detecting fraud in credit card transactions using a linear regression model on PCA-transformed features. Highly imbalanced data with 492 frauds out of 284,807 transactions.
Analyzing Retail data to explore the dataset and answer a main question which is how we can make more money by improving weak areas and represent the data in an interactive way.
This aim of this project is to analyze globular star clusters in the Milky Way, in order to understand their dynamics. The conducted study examined the properties that affect the central velocity dispersion, their impact and the correlations between them.
Analysis of BMI and its relationship with sleep disorders, blood pressure, and smoking using the NHANES 2017-2018 dataset, with R for statistical Modeling.
This project conducts a thorough market analysis of Airbnb listings, encompassing various aspects such as market trends, property types, pricing, occupancy rates, host distribution, and regulatory impacts.