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João Frederico B.
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João Frederico B.

Ecological Modeller, Spatial Analyst and R Programmer

I am an experienced Ecological Modeller and R Programmer, with a passion for creating data-driven insights for conservation and biodiversity. My expertise in Spatial Ecology and Ecological Niche Modelling allows me to effectively model and analyze complex ecological systems using R programming. Over the past two and a half years, I have developed a strong understanding of spatial analyses and modelling in R, and have become well-versed in acquiring, cleaning, and georeferencing both species and climatic data. I have worked with multiple models, including eight different algorithms of three families: Tree-based, Regression-based, and Machine-Learning. I am also proficient in most spatial related R packages (raster, sp, terra, sf, tmap, leaflet, rayshader) syntax and the back and forth between them. In my recent work, I have extended my expertise beyond Ecological Niche Modelling to a wide range of quantitative modelling approaches, including quantitative population genetics, epidemiology, and network ecology. I have experience using various approaches such as game theory, differential, and markov processes. I have a strong research background in Macroecology, Biogeography, Evolution, and Ecological Niche Modelling. My work has led me to take an interest in computational and spatial ecology. Modelling ecological systems is what delights me, and I am fascinated by what can be achieved through math and code alone, and how much we can explore of the natural world through this lens. In addition to my research experience, I have also developed my own R package, sdmLit, which allows users to apply tools that analyze model performance, check environmental consistency, and build ensemble models by frequency to Ecological Niche Models. This package automates the data manipulation process and makes it easier to use literature methods, which previously required several thousand lines of code. My dedication to ecological modelling and R programming has helped me to become a skilled and detail-oriented professional. I am always eager to learn and take on new challenges, such as implementing individual-based models in spatial settings. I am confident that my skills and expertise can bring value to any project related to ecological modelling, data analysis, and conservation. If you are looking for a dedicated and knowledgeable Ecological Modeller and R Programmer, please don't hesitate to get in touch.

🇧🇷Rio de Janeiro, Brazil$25/hr100% JSS4.94 (2)Since Dec 2022

Earnings and projects

MRR (estimate)as of Sep 24
≈$51

An estimate from an earlier read

World#150,221 / 412k
🇧🇷Country#1,764 / 4,647
Revenue, last 30 days
—

Last 6 months: $305

Total earnings
$2.1k

Billed in all: $2.2k

World#327,699 / 412k
🇧🇷Country#3,670 / 4,647
Per project
$179

$305 in the last 6 months

World#272,547 / 412k
🇧🇷Country#2,965 / 4,647
Projects, last 6 months
1
100% fixed0% hourly
World#128,095 / 412k
🇧🇷Country#1,427 / 4,647
Projects in all
12

Across 13 contracts

92% fixed8% hourly
World#183,651 / 412k
🇧🇷Country#1,562 / 4,647

Earnings, last 30 days

–Billed in all, before Upwork's fee

One reading so far: earnings show from the second.

Skill rankings: Top 24% in R

Ranked by MRR among everyone on Upwork with the skill.

  1. #6Ecological Engineering12 freelancers · 🇧🇷 #1Top 50%
  2. #47Georeferencing110 freelancers · 🇧🇷 #1Top 43%
  3. #73Cartography163 freelancers · 🇧🇷 #1Top 45%
  4. #101Spatial Analysis241 freelancers · 🇧🇷 #1Top 42%
  5. #109Map Illustration232 freelancers · 🇧🇷 #1Top 47%
  6. #156LaTeX570 freelancers · 🇧🇷 #2Top 27%
  7. #181Biology626 freelancers · 🇧🇷 #8Top 29%
  8. #239QGIS607 freelancers · 🇧🇷 #2Top 39%