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Water Electric Consultant Engineer

Corvallis, OR
May 18, 2022

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Efrain Noa-Yarasca PhD.

Water Resources, GIS & Remote sensing specialist

**** ** ******* ***. *** 159. ● Corvallis, OR, 97330 ● 541-***-**** ● May 15, 2022

Dear Eugene Water Electric Boar Hiring Manager:

I am excited to apply for the position of GIS Analyst II at your company. My working knowledge in hydrological and ecological modeling, field data collection, data analysis (managing advanced GIS, SQL database, and learning algorithms), programming skills, along with strong analytical, problem-solving and reporting results make me a great fit for this position. I am very enthusiastic about the opportunity to use my skills and abilities to help support the Eugene Water Electric Board (EWEB) team and contribute creative and innovative analysis techniques.

My start in watershed restoration and ecology is exceptional. Before I was accepted as a master's student, my advisor gave me a challenge that four anticipated students had not achieved. I had to include the GAP ecological model written in Python and the SWAT hydrological model written in Fortran within an optimization model written in Java. After improving my programming skills by taking classes in computer science, I overcame the challenge. I managed to run all three codes at the same time from the python platform. This sparked my interest in continuing to study hydrology and nature-based watershed restoration, which gave rise to my master's thesis. In this work potential wetlands were assessed for attaining flood, water quality, and biodiversity benefits. These experiences allowed me to gain a strong understanding of the logic behind building and debugging programs and strengthened my abilities to learn quickly, adapt, and problem-solve effectively in various software environments. These skills will allow me to immediately contribute at EWEB. For the last five years, I have been working on water quality modeling using nature-based solutions. My three great achievements were (1) the development of the WRESTORE ( Decision Support System (DSS) to map and present results to stakeholders. After being challenged to release an improved version of WRESTORE, I consulted with test-users and end-users to achieve a simple, consistent, intuitive and functional UX and UI design. For this DSS, I used HTML, JavaScript, PHP to retrieve and store data from/to the backend database, Json, Google API for mapping, among other tools. (2) The inclusion of green solution plans to mitigate future increases in water temperatures due to climate change. For this, the hydrological model was improved by incorporating riparian vegetation parameters. (3) WRESTORE utilization. Stakeholder participation experiments were conducted to assess their preferences about ecological plans. These preferences were assessed using statistical tests such as ANOVA, MANOVA, ANCOVA, cluster and multidimensional scaling analysis using R; and Machine Learning techniques (XGBoost, MLP, and CNN). Furthermore, I gained strong project and time management skills through implementation of several meetings with stakeholders and collaborative work with team researchers. I also developed strong verbal communication skills through my teaching assistant experiences, meetings, and workshop presentations. I developed and improved my interpersonal skills through interactions with professors, students and stakeholders. I am a team player and believe I can contribute and thrive in the collaborative environment of Eugene Water Electric Board. I am eager for the opportunity to work at EWEB. because its goals align with mine. I want to continue developing my career by promoting sustainable conservation practices and building a society in harmony with nature. I look forward to the opportunity to interview for this position and further discuss how I will support and promote the efforts of the Eugene Water Electric Board. Thank you for your time and consideration.


Efrain Noa-Yarasca

Efrain Noa-Yarasca

3405 NW Orchard Ave. Apt 189, Corvallis, OR 97330 – 541-***-**** – – Website: WATER RESOURCES, GIS & REMOTE SENSING SPECIALIST


Enthusiastic, self-motivated, and results-oriented professional in Water Resources, Geographic Information Science (GIS) and Machine Learning, with 7+ years experience in geospatial and statistical analysis as well as flow and water quality modeling. Well-versed in quantitative analytical research, employing ArcGIS, SWAT, and R. Rich experience managing multiple databases and working on multiple projects simultaneously. Expertise in advance GIS, wetland delineation, land use and land cover (LULC) change and time series analysis employing learning techniques (Machine & Deep learning). Experience in web-mapping and developing Decision Support Systems (DSS) such as WRESOTRE ( Education:

• PhD. Civil Engineering – Water Resources, Oregon State University (OSU), Corvallis, OR, USA.

(2017 – 2021). My research involved hydrological and water quality modeling including BMP plans, agricultural features, using software in the GIS environment. In addition, stakeholders’ decision making for BMP plans were evaluated through the WRESTORE decision support system.

• M.Sc. Civil Engineering – Water Resources, Oregon State University (OSU), Corvallis, OR, USA.

(2014 – 2016). My work involved hydrological, water quality and bird habitat modeling including potential wetlands, crop operation, and riparian features, using software in the GIS environment. In addition, it included the optimization of wetlands to maximize their benefits while minimizing costs.

• National University of San Cristobal of Huamanga (UNSCH), Ayacucho, Peru. (1992 – 1997) Bachelor (Hons) in Civil Engineering.

Relevant Work Experience:

• Research Assistant in nature-based modeling to mitigate climate change effects. Oregon State Univ.

(Jan. 2017 – Dec. 2021)

I conducted hydrological and water quality modeling for Dairy McKay Watershed in Oregon and Eagle Creek Watershed in Indiana, involving BMPs like riparian vegetation and wetland restoration, crop operation, filter strips and others, for flow and ecological benefits (peak flow, sediment, nitrate, and stream temperature reduction). Modeling involved processing geospatial data such as water rights, land use and land cover (LULC), Soil data from SSURGO, DEM, PRISM-data, Remote Sensing Data (RSD), among others. Results were arranged in plans that were presented to stakeholders in reports, face-to-face meetings, and through the WRESTORE Decision Support System (DSS) (, I developed. Stakeholder preferences for plans were evaluated using statistical tests. In addition, stream temperature was evaluated as an indicator of water quality for current and future scenarios. These results were compared with machine learning techniques (XGBoost, MLP, and CNN)

• Research Assistant in wetland restoration modeling for attaining flood, water quality and bird habitat benefits. Oregon State Univ. (Set. 2014 – Dec. 2016) I performed hydrological, water quality, and ecological modeling of the Big and Eagle Creek Watershed in Indiana. Potential wetlands were delineated from satellite images and included in the model as nature-based measures to reduce flood peaks, improve water quality and biodiversity. BMPs such as filter strip, crop rotation, and land use and land cover changes were also included in the modeling. Due to the large amount of data to process, the processes were automated using model builder, Python, and Java. Results were mapped and presented to stakeholders via the WRESTORE DSS. In addition, multi-objective optimization was performed to maximize wetland benefits and minimize costs

• Field Engineer. NV Building Company Inc, Lima, Peru (Jan. 2008 – March 2013) In this job, I worked inspecting various projects related to dams, hydraulic structures, irrigation systems, among others. This inspection involved work such as field measurements, field data processing, preparing reports for my supervisor, and engineering advice for future designs.

• Consultant Engineer. Peru Department of Agriculture (March 2005 – Dec. 2007). I worked providing engineering advise and technical solutions on different projects related to water management, soil conservation practices. Main clients were private agencies. Professional Skills Training

• Advanced GIS and remote sensing, handling tools such as ArcGIS, ArcGIS Pro, ArcGIS online, ENVI, GIS programming with Python (ArcPy), and model builder, and geospatial data Landsat, MODIS.

• Rich experience in modeling land use and conservation practices (wetlands, filter strips, crop operation, and others) to help mitigate watershed issues using SWAT, MODFLOW, HEC-RAS, HEC-HMS.

• Database Management: SQL, MySQL, Toad, Json, GeoJson, Access.

• Programming skills in Python, Fortran (SWAT code), Java, employing Git version control.

• Geovisualization and web-mapping applications: Open Layers, Leaflet, Mapbox, Google map, Google chart, D3, HTML5, XML, CSS, JavaScript, jQuery, PHP.

• Machine learning modeling: XGBoost, SVM, MLP, CNN, ML for time series, among others using Scikit- learn, Keras, TensorFlow in Colab and other tools.

• Advanced knowledge in Statistics and Data Analysis handling multivariate analysis using open source software such as R, Jamovi, Octave (Matlab), and Python. Software development, programming and web tools

2017. Sea Level Rise Induced Migration Project,, Grand Prize of Ecological Visualization Contest under the advice of Dr. Bo Zhao. National Science Foundation (NSF-DBI- 1062566).

2020. WRESTORE Environmental Decision Support System: A web-based, democratic planning tool for designing conservation practices in watersheds, 2021. Watershed Hydrologic Information System (WHIS) is a web-based system (under development) that stores processed watershed information, Scholarships / Awards

• Award from the National Oceanic and Atmospheric Administration for conducting research as part of my doctoral program (Award ID: NA16OAR4320152).

• Sea Level Rise Induced Migration Project,, Grand Prize of Ecological Visualization Contest 2017 under the advice of Dr. Bo Zhao. National Science Foundation (NSF-DBI- 1062566),

Peer Reviewed Journal Publications:

• Noa-Yarasca E., Babbar-Sebens M., and Jordan C., “A machine learning model of riparian vegetation attenuated stream temperatures,” in the process of being sent to the Ecological Modeling Journal.

• Noa-Yarasca E., Babbar-Sebens M., and Jordan C., “An Improved Model of Shade-affected Stream Temperature in Soil & Water Assessment Tool,” submitted to the Water Resources Research Journal.

• Noa-Yarasca E., Babbar-Sebens M., Chiou A., and Macuga K., “Environmental human values’ influence on decision-making for adopting conservation practice plans with benefits for the entire watershed versus an individual’s own sub-basin,” in the writing process to be submitted to the Journal of Water Resources Planning and Management – ASCE.

• Noa-Yarasca E., Babbar-Sebens M., Chiou A., and Macuga K., “Influence of Asymmetric Uncertainty Visualizations on the Evaluation of Conservation Plans by Environmental Decision Support System Users,” submitted to Journal of Experimental Psychology: Applied

• Noa-Yarasca E., and Nguyen K. “Comparison of Expectimax and Monte Carlo algorithms in solving the online 2048 game,” Pesquimat, UNMSM, DOI:, (2018). References

- Professor Meghna Babbar-Sebens, Dept. of Civil & Construction Engineering, OSU, USA. Phone: 541-***-****, Email: 211 Owen Hall, Corvallis, OR 97331, US.

- Dr. Chris Jordan, NOAA/NWFSC-Conservation Biology Division, Corvallis, OR, USA. Email:

- Dr. Adriana D. Piemonti, Clean Water Services, Hillsboro, OR, USA. Phone: 541-***-****, Email:;

- Dr. Kristen Macuga, Dept. of Psychology Science, Corvallis, OR, USA. Phone: 541-***-****, Email: Reed Lodge 2950 SW Jefferson Way, Corvallis, OR 97331, US

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