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Nelson da Luz

Postdoctoral Research Associate

University of Massachusetts Amherst

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

My New Course

Introduction to Python

Quantitative detective, uncovering the truth hidden in the depths of data.

My Work

Take a look at my latest work.

course

Introduction to R

course

Introduction to Python

course

Intermediate Python

course

Introduction to R

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Intermediate Python
Introduction to R
Data Manipulation with pandas

My Work Experience

Where I've interned and worked during my career.

University of Massachusetts Amherst | May 2022 - Present

Postdoctoral Research Associate

N/A

University of Massachusetts Amherst | Sep 2017 - May 2022

Graduate Research Assistant

My current research interests include understanding enhancing management of built and natural water and sanitation infrastructure systems using data science approaches.
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University of Massachusetts Amherst | Aug 2020 - Dec 2021

College of Engineering Teaching Fellow

As a Teaching Fellow, I taught a section of ENGIN-191, a first year seminar for College of Engineering students. I taught the course virtually on Zoom in Fall 2020 and in-person in Fall 2021. Students were from a variety of backgrounds and planned engineering disciplines. I developed the curriculum for my section of the course under the title: Working with Data for Engineers. Course Description: Working with data is one of the most important skills that an engineer can learn. In the age of “big data” this has become even more true. In this course we will explore the ways that engineers use data in the different engineering disciplines and develop data related skills that will be useful as engineering students and future professionals.

Luigi Pascarella PE PLLC | Aug 2013 - Jul 2019

Intern

Responsibilities in this position include cataloging engineering drawings, writing computer formulas to solve engineering problems, as well as completing work from Giaquinto Masonry Inc. for the compilation and graphing for the monitoring wells in the sand mine they are affiliated with

Manhattan College | May 2017 - Aug 2017

Research Assistant

Research engineer working on the Contamination Assessment and Reduction Project for NY/NJ Harbor. Particular research focuses include sediment transport modeling for the Hudson River and New Jersey, and bioaccumulation studies.

Manhattan College | Jun 2015 - May 2017

Graduate Research Fellow

Carried out research projects using computer based models to solve problems in environmental engineering. Effect of Black Carbon and Organism Growth Rates on Bioaccumulation of PCBs in Benthic Invertebrates: A Modeling Perspective - Investigated the effects of organism bioenergetics such as growth rates and the presence of black carbon in sediments on the bioaccumulation of PCBs in sediment dwelling organisms - Presented at the Ninth International Conference on Remediation and Management of Contaminated Sediments in January 2017 with Kevin J. Farley Ph.D. Evaluation of Sediment Loads to the Tidal, Freshwater Hudson: Implications for Sediment Trapping and PCB Transport - Developed a long term record of sediment load entering the tidal, freshwater Hudson River to determine if sediment trapping occurred and considered effects of PCB contaminated sediments from the Upper Hudson - Presented at the Ninth International Conference on Remediation and Management of Contaminated Sediments in January 2017 with Kevin J. Farley Ph.D. Testing and Application of a Modified Normalized Sediment Load Function for the Tidal, Freshwater Hudson River - Developed a modified version of the Normalized Sediment Load Function and tested the method using sediment load data from USGS records for tributaries in the tidal, freshwater portion of the Hudson River - Presented at the New England Graduate Student Water Symposium 2016 and for the Manhattan College Research Scholars Program 2016 with Kevin J. Farley Ph.D. Bioaccumulation of Hydrophobic Organic Contaminants in Benthic Invertebrates - Developed and tested a model to analyze the pathways and factors affecting bioaccumulation behavior in sediment dwelling organisms - Presented at the New England Graduate Student Water Symposium 2015 and for the Manhattan College Research Scholars Program 2015 with Kevin J. Farley Ph.D.

Christ the King Roman Catholic Church | Nov 2009 - Jul 2015

Sacristan

In charge of arranging items necessary for Mass, transporting monies to safe location, unlocking and locking buildings on church premises, and filing accident reports when necessary

Posillico | May 2014 - Jan 2015

Estimating Intern

Responsibilities included, but were not limited to performing takeoffs for asphalt paving of major roadways on Long Island, maintenance and protection of traffic, demolitions, HVAC and plumbing systems, architectural and structural metals, and site furnishings. I also entered data into the HCSS Heavy Bid estimation software, solicited quotes and pricing from subcontractors and suppliers, and attended pre-bid walkthroughs and bid openings. One of my key accomplishments as a member of the estimating department was updating the code for a concrete takeoff form macro, which helped to increase department efficiency.

Giaquinto Masonry Inc. | May 2013 - Aug 2013

Intern

Responsibilities in this position included: compiling and submitting LEED documentation, compiling and submitting product submittals, computing and cataloging roof areas for replacement on several properties, compiling and graphing data on monitoring wells in sand mine, and mapping sand mine in AutoCAD

My Education

Take a look at my formal education

Doctor of Philosophy - PhD, Civil EngineeringUniversity of Massachusetts Amherst | 2022
Master of Engineering (M.Eng.), Environmental EngineeringManhattan College | 2016
Bachelor of Science (B.S.), Civil EngineeringManhattan College | 2015

About Me

I became fascinated by data science while earning my PhD in civil engineering. I saw that there was untapped potential in the field of data science for water quality applications and ended up writing a dissertation on that topic.

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