I'm a Tech Lead at Kunumi with experience in many fields of machine learning and data science, such as time-series prediction, anomaly detection, natural language processing and reinforcement learning, developing methods to analyze, model and get insights from all types of data, while also developing software to extract value from the models created. As a Data Scientist I was able to work developing tools and frameworks to boost other data scientists productivity, while also developing bank credit scoring models, medical assistance models and more. I'm also motivated by challenges and believe that a new problem is always an opportunity to learn and discover new solutions.
I have a Masters Degree in Computer Science by the Federal University of Minas Gerais (UFMG) with focus in Deep Learning where I studied Information Retrieval, Recommender Systems, Data Visualization and Machine Learning. While in college, I studied abroad for a year, in the University of Roma Tre, in Italy.
Professionally, I aim to become a personal and technical reference for my colleagues and those who are beginning in the field, while also positively impacting as many people as possible with my work.
Tiago Alves
tiagohcalves@gmail.com
Tech Lead• Jan 2019 - Present
Team Leader, Project Manager, Data Scientist, and Machine Learning Engineer, with a broad range of activities, going from understanding the client’s needs and translating them to the team, in order to deliver high-quality machine learning systems.
As a Data Scientist and Tech Lead I was able to work and manage projects in different business areas, such as credit scoring for a digital bank, risk prediction for a health insurance company and fuel optimization for a rail freight company. I also manage a project for developing new frameworks and tools in order to boost the company productivity.
I was also engaged in managing activities company-wide, such as hiring new engineers, managing project allocation and developing internal courses to share knowledge across different teams.
Data Scientist • July 2016 - Dec 2018
Data Scientist and Machine Learning Engineer, with a broad range of activities, from understanding the client's data and mining relevant information, to developing predictive models and delivering integrated software.
Sofware Engineer • January 2016 - July 2016
Full-stack developer at a job search engine, applying technologies such as C#, .Net, AngularJS and ElasticSearch, along with HTML, JavaScript and CSS under a SCRUM methodology.
Trainee • January 2015 - December 2015
Full-stack developer at a job search engine, applying technologies such as C#, .Net, AngularJS and ElasticSearch, along with HTML, JavaScript and CSS under a SCRUM methodology.
Master in Computer Science • February 2018
Thesis: Dynamic Prediction of ICU Mortality Risk Using Domain Adaptation
B.E. Degree in Computer Engineering • December 2015
Student Exchange • August 2013 to July 2014
This is my very own Data Science course, which i'm writing to get more people interested in the field.
Paper published on the Big Data 2018 Conference
Creative AI is a personal project aimed to give life to machine learning models that help in creativity tasks, such as music and games.
Song Writer is an analsys of lyrics using deep learning. It's also be capable of generating new lyrics from the existing ones.
Quest Generator is a deep learning model to iteractively generate quests for adventure games.
This work developed as a project for the discipline of Data Visualization and intended to visually display information about the story in the books of "Game of Thrones", by George R.R. Martin.
Using a dataset of all pokemon up to the 7th generation, I applied some simple notions of data science to create a pokemon semantic space that allows to find pokemon through math manipulation.