Gregory Buisson | Data Science Enthusiast

Gregory Buisson

Data Science Enthusiast

Based in Metairie, LA

About

At the intersection of analytics and academia, my journey from Boston College to an MBA in Analytics at LSU has honed my ability to distill complex data into actionable insights. My portfolio is a testament to this blend of knowledge and application, showcasing data's potential to drive transformative decisions.

Skills

Projects

Aircraft-Accident-Analysis

Analyzed 1,906 NTSB aircraft accident reports using JMP and Tableau for a Flight School project, focusing on 'Instructional' flights. Identified trends through text mining and SVD analysis, providing safety recommendations.

Real-Estate-Clustering-Analysis

In my project, I performed k-means and hierarchical clustering on Dallas real estate data from Redfin, revealing market segments and informing strategic planning.

Real-Estate-Regression-Modeling

Crafted a regression model to forecast house prices in Dallas, pinpointing key value drivers and refining predictions through rigorous data preparation, residual checks, and model validation.

Mock Bank Loan Report

This project involves creating a comprehensive Bank Loan Report with key performance indicators (KPIs) such as total loan applications, funded amounts, amounts received, and average interest rates. The report will include good and bad loan distinctions and use various chart types to visualize metric

Forecast Analysis of Air Travel Before and After 9/11

I conducted a comprehensive forecast analysis using regression modeling and ARIMA to understand the impact of 9/11 on air travel. By comparing pre- and post-event data, I showcased advanced analytical skills, accurately predicting travel behavior with a high R-squared value of 0.98.

Experience

2021-2022

Medical Scribe

As a Medical Scribe proficient in Epic, I play a crucial role in bridging healthcare and technology. My job involves documenting patient encounters in real-time within Epic, ensuring each detail—symptoms, diagnoses, treatments—is accurately recorded. This meticulous data entry not only enhances patient care by allowing providers to concentrate on patients instead of paperwork but also enriches the dataset for analysis. By contributing high-quality, structured data, I support data scientists in identifying health trends, optimizing treatment protocols, and improving care processes. My work ensures the integrity of the data in Epic, vital for healthcare analytics, predictive modeling, and informed decision-making.

Education

2018-2022

Neuroscience BS/ Accounting minor from Boston College

At Boston College, I pursued a B.S. in Neuroscience with a minor in Accounting, blending rigorous scientific inquiry with business acumen. My coursework spanned Biology, Chemistry, foundational Neuroscience, and Accounting & Finance, providing a solid base in both the natural sciences and business principles. This multidisciplinary approach honed my skills in empirical observation, analytical reasoning, and quantitative analysis, preparing me for challenges across both domains. Embracing a diverse educational journey, I've developed a unique skill set that integrates scientific understanding with financial insight, ready to tackle complex problems in an ever-evolving landscape.

2022-2023

Postbacc from Loyola New Orleans

During my postbaccalaureate program, I immersed myself in advanced scientific coursework, including Microbiology, Immunology, Cell Biology, and Biochemistry. Each course strengthened my lab competencies and refined my data interpretation abilities. Through Physics I and II, I developed a robust foundation in quantitative reasoning. A distinctive course, Chemistry of the Crime Scene, sharpened my investigative skills and meticulous attention to detail—attributes I apply to data analysis. This rigorous scientific training grounds my approach to data science with precision and critical inquiry.

2024-2025

MBA with Analytics Specialization from LSU E. J. Ourso College of Business

I'm pursuing an MBA with a Specialization in Analytics at Louisiana State University. I've completed courses in Analytical Methods, Data Visualization, and SQL + Microsoft SQL Server for data analytics. My coursework includes optimization techniques, simulation models, Text Mining, Cluster Analysis, Multiple Regression, ARIMA Forecasting, Design of Experiments, Market Basket Analysis, and Uplift Modeling. I have developed proficiency in Tableau, Excel, SQL, and Microsoft SQL Server, enabling me to analyze in-depth data and create insightful visualizations for business decision-making.