Matheus Dias

About

Hello! Welcome, I'm glad you're here. I’m a lifelong learner and passionate about data.

Data Scientist | Business Analyst


My goal is to optimize understanding and decision-making on various topics based on data. I have a keen interest in machine learning algorithms, statistical analysis, and data visualization.


  • E-mail: diassmatheus@outlook.com
  • City: São Paulo, SP - Brazil
  • Phone: +55 (11) 99668 5749
  • Pronouns: He/His

For over 3 years I have been part of the Commercial Planning and Strategy team at the cybersecurity multinational Telefónica Tech, where I work with data analysis.

Skills

Data visualization
Dashboards | Business Reports | Experienced in deriving business insights through DataViz

Statistics and probability
Descriptive Statistics | Probability | Statistical Distributions | Statistical Inference | Multivariate Analysis

Communication
Good communication oral and written | Interacting with different stakeholders | Data Storytelling
ETL (Extract, Transform, Load)
Experienced in extracting, transforming and loading large volume of data in different file formats

Data Wrangling
Data cleaning and processing | Dealing with missing values and outliers | Standardization | Normalization

Machine learning algorithms
Clustering | Dimensionality Reduction | Regression | Classification


Tools

Excel
Advanced Formulas and Functions | PivotTables | Dynamic Charts | Macros | VBA

Python
Pandas | NumPy | Matplotlib | Seaborn | Scikit-learn

Power BI
DAX Functions | Measures | Power Query | Table Relationships | Distributing reports and dashboards
MySQL
Data Manipulation Language (DML) | Aggregate Queries | Data Constraints | JOIN Queries | Sub Queries

GitHub
Creation and configuration of repositories | Code collaboration and versioning

Git
git init | git clone | git add | git commit


Languages

Portuguese
Native speaker

Spanish
Experience aligning strategies and verifying results reporting with the Spanish matrix
English
Perfect understanding of reading and listening. Speech is a bit rusty

Resume

Education

Bachelor of Production Engineering

Estimated conclusion in 2024

Universidade Tecnológica Federal do Paraná - UTFPR

The curriculum aims to meet the analytical and quantitative needs for decision making. The subjects are multidisciplinary and cover the operation and product cycle: strategy, conception, design, implementation and operation.

Bachelor of Graphic Design

Interrupted in 2014

Centro Universitário Belas Artes de São Paulo

The challenge proposed by this bachelor's degree is to bring structural and formal order to visual information, harmoniously uniting aesthetics and functionality. It also develops innovation and creativity skills in its students. Even though I didn't complete the course, the concepts learned are useful, especially for data visualization.

Professional Experience

Quality and Strategy Analyst (Data Analytics)

jan/2022 - present

Telefonica Tech
  • Development and management of the comercial incentive plan for the sales and pre-sales teams
  • Statistical analysis to define operational, financial and sales targets
  • Measuring targets individually and by business segments
  • Measurement of marketing campaigns
  • Development of data visualization pieces, such as dashboards, for internal communication of achievements

Strategic Planning Intern

jul/2021 - dec/2021

Telefonica Tech
  • Descriptive analysis, such as the impact of economic indices on price adjustments; revenue x average implementation time of some solutions; etc
  • Product cannibalization analysis
  • Tracking of renewal leads
  • Calculation of cancellation fees

Portfolio

  • All
  • EDA
  • Classification
  • Clustering
  • Dashboards
  • Anomaly Detection
  • NLP
  • Regression
  • Time series
  • Web Scrapping
  • Operational Research

Clustering techniques applied to the OECD Green Growth indicators

K-MEANS

HIERARCHICAL CLUSTERING

Hill-Climbing and the Vehicle Routing Problem with Heterogeneous Fleet

OPERATIONAL RESEARCH

Natural Language Processing - Spell Checker

NLP

Fraud detection in an E-commerce

ANOMALY DETECTION

Time series analysis - COVID-19 in São Paulo

TIME SERIES

Exploratory analysis of the job market for Data careers

(Not available)

EDA

Electoral data dashboard 2002 - 2022

(Not available)

Dashboards

Power BI

In progress - Not available

Regression

In progress - Not available

Classification

In progress - Not available

Web Scrapping

Publications & Academic Contributions

GPOMD

Data Mining and Optimization Research Group

Member of the research group since oct/2021 - link

Principia Magazine

Scientific and Technological Dissemination of the Federal Institute of Paraíba

Publication: "Clustering techniques applied to the OECD Green Growth indicators" - oct/2022 - link

Semina Journal

Exact and Technological Sciences

Publication: "Clustering techniques and innovation-based comparison in Londrina and Region companies" - may/2024 - link

SICITE 2022

XXVII Seminar on Scientific and Technological Initiation of UTFPR

Presentation: "Machine learning techniques to discover knowledge about innovation with a focus on companies in Londrina and the region" - nov/2022 - link

ENEGEP 2023

XLIII National Meeting of Production Engineering

Publication: "Clustering Techniques for Traffic Accident Analysis in Belo Horizonte, Minas Gerais" - oct/2023 - link

ENEGEP 2022

XLII National Meeting of Production Engineering

Publication: "Profile analysis of graduates by clustering techniques" - oct/2022 - link

Contact

Location:

São Paulo - SP, BR

Call:

+55 (11) 99668 5749

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