Data Entry Specialist

Daniel F. D’Amico

Columbus, Ohio, United States **.********@*****.*** 216-***-**** in/dfdamicoosu

SUMMARY

Proficient at collecting and analyzing large sets of data and preparing detailed reports that define findings. Able to learn new tools and techniques and can work independently or in teams.

EXPERIENCE

Atmospheric Scientist

Earth Resources Technology, LLC and NOAA NCEP Climate Prediction Center April 2024 – June 2025, College Park, MD

• Test the CMORPH2 satellite-derived precipitation estimates over a data poor region against multiple potential sources of ground truth.

• Reveal and examine sources of bias over Alaska in a gridded gauge-based precipitation dataset frequently used in environmental projects.

• Prepare CMORPH2 data to serve as a first guess for a developing hydrological model.

• Develop a simple algorithm in Fortran for identifying, counting, and quantifying clusters of precipitating clouds in CMORPH2. Contract Editor

ACCDON January 2023 – Present, Remote (Waltham, MA)

• Review and revise over 50 scientific manuscripts to ensure adherence to publication standards, elevating overall submission quality and client satisfaction. Streamline editorial workflows by standardizing formatting and citation processes, contributing to increased manuscript approval rates and enhanced publication efficiency.

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• Received 2 commendations on abilities to select target journals and for recommendations on scientific data preparation. Research Scientist, Aerospace & Defense Solutions

CFD Research Corporation February 2022 – May 2022, Huntsville, AL Provided research, insight, Python coding, and support to 3 weather-related applications for military and civilian purposes with the goals of maximizing simplicity, usability, and company profits.

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• Proposed one research project to improve data assimilation using machine learning. Examined advanced data pipelines to support 4DDA numerical weather prediction experiments to provide future integration of diverse atmospheric datasets from multiple sources.

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Postdoctoral Fellow, Research Applications Laboratory National Center for Atmospheric Research, University Corporation for Atmospheric Research November 2019 – July 2021, Boulder, CO

• Conduct a comprehensive research investigation focused on assessing the performance of planetary boundary layer physics schemes. Integrate a simple Single-Column model, Large Eddy Simulations, and a developing global model before analyzing results and preparing reports that detailed results.

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• Facilitated the enhancement of the planetary boundary layer scheme in the GFS version 16 suite of physics.

• Decreased the strain on computing resources up to 50% by following a hierarchical development framework that systematically tests model components. EDUCATION

PhD, Atmospheric Science

Ohio State University • Columbus, OH • 2017

• Dissertation: Dissolved oxygen in the oceans: An examination of the Late Ordovician and near future using an Earth system climate model. MS, Atmospheric Science

South Dakota School of Mines & Technology • Rapid City, SD • 2012 Thesis: Simulating impacts of alternative land management and vegetation phenologies on Great Plains hydrometeorology and hydroclimate using WRF- ARW.

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BS, Meteorology

Minor in Mathematics • Valparaiso University • Valparaiso, IN • 2010 SKILLS

Atmospheric Science, Climate Impact and Risk Assessment, Dataset Comparisons, Data Collection and Analysis, Research and Development, Laboratory Protocols, Project Planning and Management, Complex Problem Solving, Data Aggregation, Pattern Identification Team Collaborations, Organizational Skills, Time Management, Data Reporting and Documentation, Written and Oral Communication, Interpersonal Skills

Python, Matplotlib, NumPy, SciPy, Anaconda and miniconda, Jupyter Lab, Fortran, NCAR Command Language, GrADS, Microsoft Office Suite, Linux, Bash Shell Scripting, Numerical Weather and Climate Prediction, qGIS (novice)

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