Cainã Max Couto Da Silva

Cainã Max Couto Da Silva Email and Phone Number

AI Engineer @ PwC Czech Republic
Valencian Community, Spain
Cainã Max Couto Da Silva's Location
Madison, Wisconsin, United States, United States
Cainã Max Couto Da Silva's Contact Details

Cainã Max Couto Da Silva work email

Cainã Max Couto Da Silva personal email

n/a
About Cainã Max Couto Da Silva

I'm a data scientist with over 10 years of combined experience in academic research and industry data endeavors. I have published papers in prestigious scientific journals and developed end-to-end AI applications for startups and large global companies.Furthermore, my passion for data science led me to contribute to data training programs as a professor and consultant. I also talk about data science in webinars and conferences. ✨ Skills• Programming languages: Python, R, SQL, and Shell scripting• Deep experience with data analysis and machine learning, including statistical analysis, supervised and unsupervised models, time series forecasting, computer vision, and NLP/LLMs. • MLOps: version control (git/GitHub), Docker, MLflow, and APIs with Flask/FastAPI.• Big Data: Spark (PySparkSQL), BigQuery, MySQL and Postgres. • Cloud technologies: GCP (including Vertex AI) and AWS.• Data Platforms: Dataiku and Databricks.👉 I can successfully and efficiently translate business problems into technical solutions.I welcome the opportunity to explore potential roles and partnerships or share ideas.Feel free to connect 😊

Cainã Max Couto Da Silva's Current Company Details
PwC Czech Republic

Pwc Czech Republic

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AI Engineer
Valencian Community, Spain
Website:
pwc.cz
Employees:
981
Cainã Max Couto Da Silva Work Experience Details
  • Pwc Czech Republic
    Ai Engineer
    Pwc Czech Republic
    Valencian Community, Spain
  • Masterclass
    Ai Engineer
    Masterclass
    São Paulo, Sp, Br
  • University Of Wisconsin-Madison
    Postdoctoral Research Associate
    University Of Wisconsin-Madison Aug 2024 - Present
    Madison, Wisconsin, United States
    Activities: Support database development, statistical analysis, and AI applications; write up research results; and travel to Brazil to represent UW in meetings with stakeholders.Deliveries:• Automation of multiple processes in database development, reducing the time of manual intervention.• An ML classifier to assess data quality at scale, allowing for the first-time scalable quality check.• Enhance a deep Learning model to count cattle in protected areas using high-resolution imagery. In collaboration with Google, this project empowers Brazilian prosecutors to act against non-compliant farmers, thereby reducing Amazon's deforestation.
  • Slb
    Data Scientist
    Slb Jan 2023 - Jul 2024
    Houston, Texas, United States
    I work developing end-to-end AI SaaS products for our internal customers.Main activities: • Building predictive models using either statistical or machine learning approaches to assess the health of the company assets (tools)• Assessing the technical feasibility of new projects through data analysisDeliveries:• Statistical models to assess the asset health• Machine learning models to predict the asset health for the upcoming usage• A custom-trained OCR model to extract dimensions of engineering drawingsQuick facts:• As a result of my first project, our work has been accepted for publication as a scientific paper at OnePetro.• I led an innovation proposal using AI, which ranked in the top 12 out of almost 400 ideas worldwide. My colleague and I gave the final pitch to the C levels.• I work in one of the most diverse teams in our company, interacting with people from the US, India, Europe, and South America in my daily routine.Tools: Dataiku, GCP, SQL, Python, Dash, Streamlit, machine learning libraries (e.g., scikit-learn), data visualization libraries.
  • Dnc.Group
    Data Science Consultant (Education)
    Dnc.Group Oct 2021 - Jul 2024
    São José Dos Campos, São Paulo, Brazil
    I have worked in multiple roles: facilitator, mentor, and consultant/instructor.As a consultant/instructor, I prepared the course modules and recorded classes. I recorded four modules: statistics, data cleaning/wrangling, clustering, and model deployment. I have also devised data science activities about descriptive and inferential statistics, unsupervised machine learning models, MLFlow, big data with PySpark, among others. As a mentor, I assessed student reports and addressed their questions through Q&A sessions, aiding in academic and real-world projects.As a facilitator, I participated in data science activities from exploratory analysis to model deployment. I also prepared some of those activities.
  • Ambev Tech
    Data Scientist
    Ambev Tech May 2022 - Dec 2022
    São Paulo, São Paulo, Brazil
    Ambev Tech is the tech hub of AB InBev, the largest brewery company in the world.Squad: Revenue ManagementActivities / Deliverables:• Rule-based automation of pipelines for price engines using PySpark (big data)• Statistical model to identify price changepoints for several SKU categories• Monthly time series modeling from of selling volume using state-of-the-art forecast and hierarchical reconciliation methods• Training for data scientistsTools:• Python • PySpark • MLFlow • Scikit-learn • Pycaret • Statsmodels • Forecasting frameworks (Prophet, NeuralProphet, StatsForecast)
  • Remessa Online
    Data Scientist
    Remessa Online Oct 2021 - Apr 2022
    São Paulo, São Paulo, Brazil
    Activities:• Advanced statistical modeling: data exploratory analysis, hypothesis testing, time series forecasting, predictive analyses (e.g., regression and classification), customer and product segmentation, etc.Deliverables:• Multiple time series forecasting for customer segments (weekly and monthly)• Model for predicting the probability of the customer recurrence• In-depth study of churn analysis through inferential statisticsTools:• Python • PySpark • MLFlow • Scikit-learn • Pycaret • Catboost • Prophet • AWS • GitHub • Data visualization libraries (Plotly, Seaborn, Matplotlib)
  • Eli Lilly And Company
    Safety Data Sciences Associate
    Eli Lilly And Company Jun 2021 - Oct 2021
    Indianapolis, Indiana, United States
    Activities:• Queries and reports for worldwide company members
  • Universidade De São Paulo
    Doctoral Researcher
    Universidade De São Paulo Jul 2016 - Apr 2021
    São Paulo, São Paulo, Brazil
    Activities:• Data analysis, visualization, and scientific reporting of genetic data using R, Python, and bash scripting.• Application of non‑supervised algorithms (e.g., PCA), descriptive and inferential statistics.Deliverables:• Internal R package with customized functions to facilitate multiple analyses• Three scientific papers published in international magazinesI presented our preliminary work at international conferences, including in the USA. I also took a three-month internship in Barcelona, Spain.
  • Universidade De São Paulo
    Msc Researcher
    Universidade De São Paulo Apr 2014 - Mar 2016
    São Paulo, São Paulo, Brazil
    I studied the role of the interaction between the proteins PrPC and STIP1 in adult neurogenesis.Main techniques: primary cell culture, immunofluorescence, and hypothesis testing.
  • Universidade De São Paulo
    Undergraduate Research Fellow
    Universidade De São Paulo Jan 2013 - Dec 2013
    São Paulo, São Paulo, Brazil
  • Ung- Universidade Guarulhos
    Undergraduate Fellow
    Ung- Universidade Guarulhos Jul 2011 - Dec 2012
    Guarulhos, São Paulo, Brazil

Cainã Max Couto Da Silva Skills

Pandas Scikit Learn R Git Ggplot2 Linux Data Science Github Rdbms Genomics Teaching Data Wrangling Data Analysis Relational Databases Education English Biostatistics Cell Culture Ngs Plotly Data Cleaning Matplotlib Data Manipulation Programming Microsoft Office Latex Histology Database Management System Seaborn Bioinformatics Laboratory Skills Molecular And Cellular Biology Numpy Sql Python Data.table Teamwork Research Genetics Problem Solving Dashboard Machine Learning Coding Practices Spanish Statistics Presentations Data Visualization Data Mining Shell Scripting Bash Databases

Cainã Max Couto Da Silva Education Details

Frequently Asked Questions about Cainã Max Couto Da Silva

What company does Cainã Max Couto Da Silva work for?

Cainã Max Couto Da Silva works for Pwc Czech Republic

What is Cainã Max Couto Da Silva's role at the current company?

Cainã Max Couto Da Silva's current role is AI Engineer.

What is Cainã Max Couto Da Silva's email address?

Cainã Max Couto Da Silva's email address is cmcouto.silva@usp.br

What schools did Cainã Max Couto Da Silva attend?

Cainã Max Couto Da Silva attended Mba Usp/esalq, Universidade De São Paulo, Universidade De São Paulo, Universidade Guarulhos.

What are some of Cainã Max Couto Da Silva's interests?

Cainã Max Couto Da Silva has interest in Programming, Biology Teaching, Science Dissemination, Programmer Career, Computer Science, Disclosure, Software Development, Education, Science And Technology, Biology.

What skills is Cainã Max Couto Da Silva known for?

Cainã Max Couto Da Silva has skills like Pandas, Scikit Learn, R, Git, Ggplot2, Linux, Data Science, Github, Rdbms, Genomics, Teaching, Data Wrangling.

Who are Cainã Max Couto Da Silva's colleagues?

Cainã Max Couto Da Silva's colleagues are Filip Gaži, Zuzana Špádová, Kateryna Stropalova, Erik Novotný, Helena Š., Lenka Matousova, Petra Vaskova.

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