Nicholas Diego Daponte

Atlanta, GA ad4zxd@r.postjobfree.com 470-***-**** LinkedIn GitHub Tableau Public U.S. Citizen SUMMARY

• Dedicated data enthusiast with an evolved passion and fundamental knowledge of data science.

• Currently advancing expertise in data science, data analytics, data engineering and machine learning in an online Georgia Tech MS in Computer Science, with the flexibility to start immediately in an entry-level full-time position.

EDUCATION

Georgia Institute of Technology - Atlanta, GA

Master of Science in Computer Science

• Specialization in Data Science and Machine Learning Master of Science in Chemical Engineering May 2023

• Specialization in Process Engineering and Polymer Science Bachelor of Science in Civil Engineering with a Minor in Energy Systems (High Honors) May 2021 TECHNICAL SKILLS

Coding: Python, R, SQL, HTML, Git and GitHub, Big Data Analytics, Scala, Spark, Docker, ETL, Power BI, Tableau Software: Microsoft Office, VBA for Excel, MATLAB, Autodesk Revit, AutoCAD, Civil3D, ASPEN Plus Licenses & Certifications: Engineer-In-Training (EIT), NCEES ID: 21-398-99, Data Analyst Associate, https://www.datacamp.com/certificate/DAA0016365620696 DATA SCIENCE PROJECTS

Supply Chain Greenhouse Gas Emission Data Analysis December 2023 - Present

• Exploring greenhouse gas (GHG) emission factors for 1,016 U.S. commodities using Google BigQuery and Tableau to determine sustainability measures within the commodities respective supply chains. Critical Care Database Machine Learning December 2023 – December 2023

• Analyzed healthcare data from the MIMIC-III Critical Care Database for over 40,000 patients and 3 million rows of data using descriptive statistics and machine learning to predict mortality. Utilized classifier models in Python and optimized performance through Accuracy, AUC, Precision and Recall, and F-Score metrics. Car Dealership Database Design August 2023 – November 2023

• Coded a full stack application for a car dealership database in Python utilizing embedded SQL queries and using the front-end/back-end Tkinter MVC workflow architecture. Methanol Pilot Plant Data Analysis January 2023 – May 2023

• Performed data analysis on raw pilot plant data for the renewable catalytic synthesis of methanol using physics informed machine learning and statistical data analysis techniques such as k-fold cross-validation to evaluate model robustness in Python.

• Led the team to determine the most suitable kinetic model for processing at industrial scale.

• Experimented with the raw data in an alternative way using the machine learning software ALAMO and determined a novel model that performed better than the literature derived models. RESEARCH PROJECTS – Georgia Institute of Technology Laboratory Composite Polymer Research: May 2022 – September 2022

• Performed hypothesis development and wrote a literature review on cryogenic temperature effects of polymer hydrogel composites through 3D-Printing to see which formulation resulted in higher fracture toughness. Lithium Extraction Research: January 2021 – May 2021

• Performed Design of Experiments (DOE) for research on the separation of lithium carbonate from dilute lithium solutions by Donnan Dialysis and communicated conclusions for future research. LEADERSHIP EXPERIENCE

Expert Roofing - Gainesville, GA January 2016 – Present Roofer and Estimator

• Saved 15% on annual material costs through new vendor acquisition by extensive market research.