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Data Analytics Projects

During my pursuit of a master's degree, I engaged in numerous data analytics projects where I applied statistical methods and utilized programming tools, including Python, R, and MySQL to extract valuable insights from diverse datasets. Furthermore, I employed visualization tools such as Tableau and Excel to represent data metrics effectively. The culmination of these efforts enabled me to not only derive meaningful conclusions from the data but also formulate strategic approaches grounded in data-oriented decision-making.

Predictive Analysis of Obesity Risk Level

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We analyzed over 2,000 data points by using Python, executing linear and logistic regression, as well as K-Modes clustering, to discern obesity determinants in Latin America. Our focus was on high-risk demographics, including smokers and frequent drinkers, and also dietary habits. These insights enabled us to craft targeted policy proposals for health initiatives.

Project Tools: Python, Tableau, Excel

Predictive Analysis of Loan Repayment - German Fintech

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I developed an advanced predictive model for loan repayment tailored to the German fintech sector. The business objective was to enhance the financial performance of the company by accurately assessing and predicting loan repayment behaviors. The model allowed for more informed decision-making and the stability of the financial operations.

Project Tools: JMP(Statistical software), Excel

Data Analysis for Airbnb Market -
New York City

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We conducted data analysis using Tableau to visualize the dataset comparison of key metrics. This involved analyzing over 50,000 datasets, including listing names, prices, reviews per month, and room types, using SQL queries. Through large-scale data extraction, I gained valuable insights and formulated recommendations for both Airbnb hosts and customers.

Project Tools: MySQL, Tableau, Excel

Contact Information

Based in Greater Seattle Area

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