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I´m an industrial chemist with experience in downstream processes, wastewater treatment, data visualization, and scientific writing. I have over ten years of experience in both academia and as a consultant. During those years, I have learned quite a few programming languages during my Master's and Ph.D. in Chemical Engineering (primarily data crawling and data analysis). I am the author of a published R package (both on CRAN and in a peer-reviewed journal), widely used for data analysis of aqueous two-phase systems (LLSR package). Here on UpWork, I can help you collect, interpret and present your data using one of several available tools on R or Python. I am more than used to working remotely and as a freelance for clients all around the globe. We can set up voice or video calls and using, instant messaging and emails to improve our communication and achieve outstanding performance for your project. If you decide to hire me, here is what you would do : 1. First, click the invite button to invite me to your job 2. Once it is accepted, I will jump on the phone with you 3. We will discuss all the details together So, if it sounds good for you, click the button, and we can start! I wish you a wonderful week! --------------------------------------------------------- I have experience in the following: Program: - R; - Python; - Docker; - Postgresql; - GIT; Environment: - R Shiny; - RMarkdown. Package: - DataExplorer; - dplyr; - Ggplot2; - knitr, - Lubridate; - leaflet, - Numpy; - Pandas; - Plotly; - tidyr; - Tidyverse;

I graduated in economics in 2016. Next year I began studying for my master's degree application exam. My objective was to learn statistics and finance. So I was accepted and started my master's degree in 2018. Unfortunately, the institution I picked did not have a focus on statistics and finance. During my last semester, my frustration and problems with my advisor left me somewhat unmotived to finish my dissertation. So I went my master's degree. Since my graduation days, I have studied coding. I always thought that having the ability to gather, process, and analyze large amounts of data would be valuable in today's world. My first coding experience was with MATLAB and C/C#. MATLAB, my brother used to work with it, and I used to fiddle around to learn how to code ( did nothing special ). C/C#, I did a two-week tutorial I found online. Although I never used these two program languages later, they helped teach me some concepts in programming. While in my graduation, I started using the program languages R and Python. R I used due to its extensive statistical packages support, and the second to its more general usability. During My master's degree, I found myself doing some paid R coding. Usually, it was simple data inference, like running some simple code to find the best linear regression model with variable permutation. Furthermore, I did have some coding experience with Python in helping some research groups in reading SQL databases and scraping online data. After I exited my master's degree, early 2020, I did freelance coding data analysis ( ex.: Inflation prediction models ), machine learning ( ex.: House prediction models in Rio de Janeiro ), and data scraping. I have a Github page with examples github.com/marcoaurelioguerrap ( Although still in Portuguese, my native language. ). If you need statistical models for prediction, inference, or data to be scraped, or organized I might be helpful. Other knowledge I have are Risk Management ( VaR, ES calculations ), stock and options market backtesting, options price models ( BS, Monte Carlo, and SABR ), test for forecast Bias, regressions ( OLS, Logit, probit, Tobit, panel data, time series, GMM, ARIMA, GARCH ). less

I am a professor of Statistics focusing on academic works and clinical data, with strong experience in survival analysis, regression modeling, and retrospective studies. I work on projects that require both methodological rigor and clear communication of results, including publication-ready outputs. I have worked across multiple domains, from biomedical and genomics data to applied and entrepreneurial problems, and I frequently act as a consultant and advisor, helping clients refine research questions and choose appropriate statistical methods for their goals. I am particularly proud of translating real-world problems into statistical models and explaining the results clearly to non-technical stakeholders. Clear communication is a must-have. I am available outside my standard working hours (GMT-3) and on weekends.

⭐⭐⭐⭐⭐ "Gustavo is extremely diligent, persistent, reliable. Always completes tasks on time and goes beyond in giving suggestions of other ways to do things. Will definitely recommend him." 👩‍💻 📈 🎓 Are you seeking to leverage the potential of data and AI to ensure the success of your project? With over 10 years of experience across a broad range of machine learning, AI, and financial market data, including a PhD in Finance, I'm here to help you achieve your goals. 🎯🏆 📊 Let's achieve your goals together! 🤔Not sure? See how others previous customers fill. 😀 ✔️ Automate Data Wrangling - August 2023 ⭐⭐⭐⭐⭐ "My first experience here has been with Gustavo and it has been nothing short of amazing. He takes the time to understand the problem, comes up with different technical solutions for it and is communicative throughout the process. He provided an end R code that was very descriptive and wrote comments so that I could easily understand it. Not only this but Gustavo went above and beyond to make sure I understand the code by throwing in a live session where he walked me through each line of the code he had written. 10/10, will be asking all my coding questions to him!" ✔️ Exploratory Data Analysis - September 2022 ⭐⭐⭐⭐⭐ "Gustavo is one of the best tutors I ever had! He makes sure you understand and know what to do. He takes his time with you and walks you through everything. I appreciate his hard work!!" ✔️ Debug R Shiny App - July 2022 ⭐⭐⭐⭐⭐ "Excellent methodology and great at debugging. I have a very complicated Rshiny app with multiple parts, models and scripts and he was able to help me to debug the source" ✔️ Quantitative Investment Project - March 2022 ⭐⭐⭐⭐⭐ "Excellent work in a timely manner! Always willing to help to the fullest extent!" ✔️ R Shiny App - November 2021 ⭐⭐⭐⭐⭐ "Gustavo is a great problem solver. He is also very mindful of the clock time. We had a very productive session, which I would highly recommend Gustavo!" ✔️ Review R Code - April 2021 ⭐⭐⭐⭐⭐ "A highly skilled professional. Explains everything in detail, solves all the problems correctly and in a timely manner. The best tutor I had so far!" ✔️ Data Visualization Project - July 2021 ⭐⭐⭐⭐⭐ "Gustavo is extremely diligent, persistent, reliable. has a lot of patience to explain the script and answer any of my questions. Always completes tasks on time and goes beyond in giving suggestions of other ways to do things. Will definitely recommend him."

Hello! 🙋‍♂️ I'm a data scientist and engineer with experience in using data to get valuable business insights for my clients. I've worked with tech-enabled businesses across different industries, developing innovative solutions that meet users' needs and meet deadlines. Furthermore, I can manage a project from the beginning through every stage of development until deployment. Let's meet to discuss your project. Get in touch now!🙂 𝐀𝐫𝐞𝐚 𝐨𝐟 𝐦𝐲 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 🔷AI Tools: 🔸Calude Code 🔸ChatGTP 🔷Programming Languages: 🔸R 🔸Python 🔸Grafana 🔷 DevOps: 🔸AWS 🔸Git 🔸GitHub Actions 🔸Docker 𝐇𝐞𝐫𝐞'𝐬 𝐡𝐨𝐰 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮: 🔸Data Scraping 🔸Manipulation and deployment of large datasets in server 🔸Data visualization as unique plots with user interactivity (hover text, filter, zoom in/out, etc.) 🔸Apply and analyze statistical tests 🔸Create machine learning models using different algorithms (supervised, unsupervised, and deep learning) 🔸Develop interactive apps 🔸Implement automated testing 🔸Deploy a webpage with multiple apps Last updated: March 2026

I am a statistician, reproducible research enthusiast, R and git developer and active user. I like statistical modelling in general, package and dashboards development, text mining and APIs. I am specially interested in Bayesian inference, multivariate analysis, feature extraction and probabilistic graphical models. Currently, I am pursuing my PhD at the Hamilton Institute in Maynooth, Ireland. I am part of Andrew Parnell’s research group, and our work is mostly related to the development of new Bayesian methods for machine learning and its many possible applications.