Felipe Campos Penha Email & Phone Number

Wayzata, Minnesota, Us

Technical lead within Cargill's R&D. In addition to regular senior responsibilities in multiple projects, I provide guidance to colleagues regarding model deployment (MLOps). Also, in this position, I am involved in strategic decisions that enable smart manufacturing at Cargill globally.Products developed as a Lead: 🗄️ Data Engineering solution (a.k.a. Feature Store) that process sensor data stored in on-premise serves at Cargill plants and makes it available for various internal products deployed on the cloud.🛒 Price Elasticity of Demand tool for Cargill owned brands accross different business units, and Cargill external partners' brands.📦 Food Safety and Quality risk monitor.🦺 Workplace Safety: hazard identification from free text field descriptions.💰 Financial risk monitor.

Wayzata, Minnesota, Us

As part of my work in R&D, I worked closely with Cargill Protein North America on exciting new digital products that shaped the way plants operate regarding workforce management and occupational safety. My work in each project was end-to-end: from ideation with business stakeholders to full deployment. It included operational aspects such as ensuring compliance with security and privacy requirements, monitoring of trained models, and maintenance of cloud applications that serves model outputs via API endpoints.Product developed as a senior:🪪 Workforce Management forecasting engine

Tampa, Fl, Us

[Upshop, formerly ADC] R&D and product development for FreshIQ, a SaaS platform tailored for the Fresh Food retail segment. I employed Machine Learning and Deep Learning algorithms in the demand planning AI Engine that provides prescriptions of how much of each fresh item should be produced and displayed for customers in the stores to optimize sales and decrease waste. My focus was on the incorporation of external features that are usually responsible for both peaks and dips in demand.

São Paulo, Sp, Br

Technical lead for Data Science projects in the US, both executing and translating customers' requirements for 5 Data Engineers and 1 Data Scientist in Brazil. Responsible for building from ground up a Data Science team focused on US customers in the Consumer Packaged Goods Industry (CPG). I hired, trained, and supervised 2 different Data Scientists for that team. The solutions included a combination of website text, user review attributes and text, foot traffic, firmographics, and demographics data used to build features and train Machine Learning Models.

São Paulo, Sp, Br

Focused on the US expansion of Neoway, I frequently traveled between Sao Paulo, Florianopolis, and NYC. In only 1.5 years of work, we already had a history of success with "Fortune Global 500" companies in the Consumer Packaged Goods Industry (CPG).

São Paulo, Sp, Br

Data Science projects with companies in Brazil and in the US: (1) Geo Targeted Marketing project with a BR customer in the Meal Credit Card Segment;(2) Sales & Marketing project with a US customer in the Food Segment, focused on direct sales of their products to restaurants and supermarkets nationally.

New York, New York, Us

While working for Neoway, I was a mentor/supervisor to groups of students, for their capstone projects at the Data Science Institute Master’s program at Columbia University in the City of New York. Neoway was part of the list of industry affiliates of the program and, as such, the company had the opportunity to propose projects before each semester started. I wrote the proposals and supervised the students on the following topics:1. Automated database matching2. Classifying Food and Beverage Establishments from Website Data3. Sentiment Towards Named EntitiesThe main purpose of Neoway’s involvement was to enable Open Innovation to reduce costs and the risks associated with Research and Development.Online supporting material:* https://datascience.columbia.edu/data-science-institute-students-conduct-real-world-data-science-research* https://www.neoway.com.br/inovacao-em-parceria-com-universidades/

Newark, De, Us

Staff member researcher with a limited-time contract, in the IceCube Group. Research field: Neutrino Astroparticle Physics, whith a focus on incorporating experimental data in theoretical models. Supervisors: Prof. Thomas Gaisser and Prof. Todor Stanev.

Doctor Of Philosophy (Phd), Physics

Doctor Of Philosophy (Phd) - Partially, Physics

Master'S Degree, Physics

Bachelor'S Degree, Physics

Education record

High School