With a great interest in Data Science and Market
analysis, throughout the years I've learned several
tools to harness insights through data and had the
opportunity to contribute with several distinct
projects. Worked developing business intelligence
projects and automation, supply/demand
optimization, database creation and data pipeline
design.
Lately I've been working as Data Science Project
Manager for Shooju. Shooju is a customized
ETL/Machine Learning/Data Vizualiation PaaS with
clients in the US and Brazil.
Bildung
C
Chemical Engineering
Universidade de São Paulo, Bachelor's Degree
2022
Arbeit & Erfahrung
S
DATA PRODUCT MANAGER
Shooju
Mar'2022 - Oct'2022
- Periodic calls with clients to develop project deliverables.
- Scrum Master for Python ETL team, fitting client's demands with team tasks.
- Coordinated a All-In-One Machine Learning product for clients. The project is
now on expansion and consists of a non technical client friendly UI for multivariate time series forecasting. The project uses different models to evaluate the best one applicable, allowing a good market prediction for strongly
correlated variables.
- Coordinated imports and exports importer inferences project based on limited freight income data.
Q
DATA SCIENTIST
Quero Educação
Feb'2021 - Mar'2022
- Project coordination for the Dynamic Pricing Multi-Armed-Bandit algorithm.
- Contributed to the development of bayesian AB tests to statistically test new
website marketplace features, in order to raise average revenue per user.
- Contributed to the marketplace's ranking algorithm core new features.
- Developed a fraud detection statistical model based on conversion rates from
the marketplaces partners. The model would analyze the prices and conversion
rates correlation over a time series to identify potential suspicious foul plays.
- Acted as Scrum Master for Business Intelligence team.
R
Marketing Intelligence Intern
Rhodia Solvay
Jan'2019 - Jan'2021
- Market analysis to prospect and plan offer and demand indicators, as well as
wordwide detailed follow ups on the PA6 and PA66 feedstocks.
- Implementation of a programming routine for a big client's contract price
modelling using parameter variation and least squares error. The simulation
allowed good prices forecasting using Adipic Acid upstream prices provided by
IHS Markitt.
- Monthly market share KPI's presentation, supporting commercial intelligence
decisions