Cainã Max Couto Da Silva Email & Phone Number

Valencian Community, Spain

São Paulo, Sp, Br

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.

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.

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.

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)

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)

Indianapolis, Indiana, United States

Activities:• Queries and reports for worldwide company members

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.

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.

São Paulo, São Paulo, Brazil

Guarulhos, São Paulo, Brazil

Data Science & Analytics, Statistics, 10

• In‑depth study of machine learning models. • Developed an end‑to‑end hybrid ML model for churn prediction.

Doctor Of Philosophy - Phd, Genetics And Evolutionary Biology

Thesis: Identifying natural selection in Native American populations. Supported by: CAPES (2016 - 2018) and FAPESP (2018 - 2020)

Master Of Science - Ms, Biological Sciences

Dissertation: Role of cellular prion protein and its ligand, stip1, in the adult neurogenesis. Supported by: CNPq (2014 - 2016)

Bachelor'S Degree, Biology/Biological Sciences, General

Monography: Role of the interaction between the cellular prion protein and its ligand, STI1, in the biology of neural precursors.