Last update: 14/06/2023

ANDRÉ BATEMARCHI

Brazilian, single, 29 years old

Apply for: Data Scientist

CONTACT

Linkedin Logo linkedin.com/in/andré-batemarchi

GitHub Logo @Andygrammer

Kaggle Logo @andremarin

HackerRank Logo @and201456

Location Logo São Paulo – Brazil


EDUCATION

USP Logo





M.Sc. in Information Systems

University of São Paulo (USP)

08/2018–08/2021

São Paulo, Brazil

Research line: Systems Intelligence

Research area: Combinatorial Optimization

GPA: 3.0

UNIP Logo





BA in Computer Science

University Paulista (UNIP)

01/2011–12/2014

São Paulo, Brazil

GPA: 3.3

Course Project: “Uso do Perceptron Multicamadas para Reconhecimento de Captchas”


LANGUAGES


INFORMATICS

  • Data Science and Machine Learning
    • Supervised and Unsupervised Learning
    • Ensemble
    • Deep Learning
    • Database: MySQL, Oracle SQL, SQL Server, PostgreSQL
    • Other: Version Control Systems, Scrum, Kanban, Design Patterns
  • Programming Languages/Platforms
    • C#
    • Java
    • Matlab
    • Python
    • R
    • Docker
  • Data Science Toolbox
    • R
    • Python: Pandas, NumPy, SciPy, Matplotlib, Plotly, Seaborn, Scikit Learn, TensorFlow, Keras, OpenCV

PROFESSIONAL EXPERIENCE



IBM

Application Developer

06/2022–present

São Paulo, Brazil

System development using .NET Core



Spassu Tecnologia e Serviços

Mid level Full Stack Developer

08/2021–06/2022

Rio de Janeiro, Brazil

System development using .NET Core, Angular, PostgreSQL, Git, and CI/CD with AWS



EY

Consultant

12/2017–05/2018

São Paulo, Brazil

Robotic Process Automation (RPA) developer (Blue Prism and Pega Systems tools)



BRQ

Software Developer

07/2014–05/2016

São Paulo, Brazil

Systems development using .NET, Oracle RDBMS, IBM Rational Team Concert tool and Scrum framework

RPA using C#, NICE Real-Time, Microsoft Office application suite

Dashboard development using Splunk


ACADEMIC EXPERIENCE

USP Logo





University of São Paulo (USP)

Teaching Internship

07/2019–12/2019

Teaching assistant and homework corrections of 63 undergraduate students of Information Systems. Subject: Database Fundamentals

São Paulo, Brazil


VOLUNTEERING EXPERIENCE

Casas André Luiz

Institution Keeper

01/2010–present

Donation of clothes, shoes, and toys for several campaigns targeted the patients of the institution

São Paulo, Brazil

Runner

Charity Runner

12/2020–present

Nonprofit organizations that I have raised money and awareness:

  • Fundação Pró-Sangue – encouragement and awareness of the importance of blood donation;
  • Casa da Criança Paralítica de Campinas – care of paralyzed children;
  • Santa Barbara Athletic Association – support local youth runners;
  • Instituto Oncoclínicas – cancer campaign: “O câncer não espera. Cuide-se já”;
  • Projeto Assistencial Novo Céu – attend people with cerebral palsy;
  • Instituto Olga Kos – shelter people with intellectual disabilities;
  • ONG Acãochego – shelter for rescued dogs;
  • Associação Brasileira de Hematologia, Hemoterapia e Terapia Celular (ABHH, Um Só Sangue) -– encouragement and awareness of the importance of blood donation.

Universidade Paulista

Class monitor

08/2012–01/2014

Help new students with difficulties in math classes. Subjects:

  • Discrete Mathematics;
  • Statistics and Probability;
  • Analytic Geometry;
  • Linear Algebra;
  • Numerical Analysis.

Coursera Global Translator Community

English Translator

07/2020–12/2020

English–Portuguese translator of Coursera Platform videos


CERTIFICATIONS

Microsoft: Designing and Implementing Microsoft DevOps Solutions (AZ-400) SAFe® 6 Practitioner Oracle: Java SE 8 Programmer I (1Z0-808) Oracle: SQL Certified Expert (1Z0-047)



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AWARDS/ACHIEVEMENTS

2023 – IBM Champion Learner - Gold (2023): 200 hours+ of learning

2022 – IBM Champion Learner - Gold (2022): 200 hours+ of learning

2022 – Civil Service Examination: Petrobras - Approved

2022 – Civil Service Examination: Cremesp - Approved and Classified

2022 – Spassu recognition: highest recognition for performance on projects

2019 – USP Course Subject: Computational Intelligence (TOP 2 – Grade A)

2018 – EY Gold Standard: highest recognition for performance on projects

2018 – Nasa: Hackathon Nasa Space Apps Challenge (TOP 20)

2014 – UNIP: Robocode University Cup (winner)


DATA SCIENCE COMPETITIONS

🏆07/2021 – FIA Business School: Winter Festival Labdata and iFood Datathon 2021

4th place / 200 competitors

🏆07/2021 – DeepLearning.AI and Landing AI: Data-Centric AI Competition

Baseline accuracy: 0.6442

My accuracy: 0.6835

🏆07/2021 – Mercado Libre: Meli Data Challenge 2021

Baseline Ranked Probability Score (RPS): 5.1317

My Ranked Probability Score (RPS): coming soon


COURSES

2021 – deeplearning.ai: Machine Learning Engineering for Production Specialization Courses

  1. Introduction to Machine Learning in Production

2020 – Johns Hopkins: Data Science Specialization Courses

  1. The Data Scientist’s Toolbox

  2. R Programming

  3. Getting and Cleaning Data

  4. Exploratory Data Analysis

  5. Reproducible Research

  6. Statistical Inference

  7. Regression Models

  8. Practical Machine Learning

  9. Developing Data Products

2020 – deeplearning.ai: Deep Learning Specialization Courses

  1. Neural Networks and Deep Learning

  2. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

  3. Structuring Machine Learning Projects

  4. Convolutional Neural Networks

  5. Sequence Models

2020 – National Research University Higher School of Economics Advanced Machine Learning Specialization - Course 1: Introduction to Deep Learning (Concluded with Honors)

2020 – National Research University Higher School of Economics Advanced Machine Learning Specialization - Course 2: How to Win a Data Science Competition: Learn from Top Kagglers (Concluded with Honors)

2020 – University of California, Davis – SQL for Data Science

2017 – Java Programming: Instituto Tecnológico de Aeronáutica – Desenvolvimento Ágil com Java Avançado



2021 – Docker: Docker: Ferramenta essencial para Desenvolvedores

2021 – UX and Design Thinking: UX & Design Thinking: Experiência do Usuário nos negócios

2020 – Data Engineering: Formação Engenheiro de Dados: Domine o Big Data!



2021 – Intermediate Machine Learning

2020 – Intro to Machine Learning

2020 – Python Course



2021 – Machine Learning for Digital Business Nanodegree Courses

  1. Machine Learning: Intro to recommender systems in Python

  2. Multi label text classification: Multiple contexts in NLP

  3. Predictive models in data: Fraud detection

  4. Data Analytics: Machine Learning in Digital Marketing

  5. Data Analytics: Machine Learning with Google Cloud Platform

  6. Data clustering: Customer segmentation

  7. MLOps: Machine Learning and APIs

  8. MLOps: Models deploying

OTHERS

2022 – Productivity and Time Management

2021 – Emotional Intelligence

2021 – Communication & Oratory


COURSES IN PROGRESS

Kaggle: Data Visualization


PROJECTS

My Portfolio