Mariane Reis

Machine learning and Data Analysis

Find opportunities to use modeling in law operations and apply machine learning solutions - majority of NLP problems; Guarantee rightful communication between APIs; Minister workshops on Data Science topics (e.g. Classification models, Regression models, Databases, Fair learning.); Translate technical results for business operators; Mentor data scientist beginners; Use machine learning techniques to increase vehicle business performance - Mostly structured classification problems;

EDA to find insights and tendencies on data (E.g. Restaurant sustainability per region); Responsible for Super Restaurants Program Data Analysis; Teach the Commercial team to use Tableau; Create and automate dashboards using Databricks, Amazon Athena and Tableau; Create “Trusted” tables: Transformations populated by raw data, considered trusted by the company;

Development and implementation of a potential client communication ruler Company’s communications performance analysis (opens, clicks, conversion) Extract relevant data from our database to create dashboards Create tables and jobs in Bigquery to facilitate extraction of data Generate Board Meetings reports Founded Dog Scientist - DogHero’s study group for Data Topics and stimulate data-driven mindset in the company

Strategy development for industry 4.0 and macroeconomics analysis for SIEMENS divisions units, especially for Internet of Things related products; VBA code elaboration to improve inventory efficiency.

Reinforcement Learning for NLP

Fundamentals of Computer Science, Linear Algebra, Machine Learning, Deep Learning, Optimization Methods, Natural Language Processing, Non-Structured Data Analysis, Big Data, Meta-learning