Matheus D.
Data Analyst

Skills

Spark

Scala

Sql

Google Bigquery

Python

Matheus is available for hire

Meet Matheus D.

All Howdy Candidates are vetted for skills and english proficiency.

Bio

Data professional experienced in marketing, sales, product management, leadership, and team oversight. Proficient in communicating and negotiating across hierarchical levels including C-level executives, middle management, and operational teams.

Successfully completed over 30 end-to-end projects, encompassing the entire engineering process. These projects leveraged ETL technologies such as Pentaho, Talend, and SSIS, as well as pipeline creation with Airflow. Additionally, expertise includes deploying Machine Learning models for both classification and regression purposes, utilizing algorithms such as XGBoost, Linear Regression, Logistic Regression, Decision Tree, Random Forest, and Apriori for Market Basket Analysis. Dashboard creation and maintenance for stakeholders frequently involved the use of Power BI and Metabase.

Founder of a company at the age of 20, providing substantial experience in customer relations and problem-solving. This venture was recognized and selected for exhibition at the Web Summit in Lisbon in 2019.

Co-Founder
4/1/2018 - 12/1/2020

Co-founded and led a Brazilian start-up focused on democratizing Data Science and Machine Learning solutions. Delivered projects for numerous prominent regional companies and presented solutions at the Web Summit in Lisbon in 2019. Developed expertise in sales, marketing, human resources, and technology. Created sales and marketing strategies, leveraging SAAS platforms such as RD Station and Hubspot. Developed technical proficiency in Python, R, SQL, PowerBI, Pentaho, Talend, and SSIS.
Data Intern
11/1/2017 - 7/1/2018

Participated in numerous projects for international clients, gaining experience in Data Analytics and AI solutions. Developed proficiency in Microsoft LUIS, Python, Talend, Pentaho, and SSIS. Enhanced data visualization and reporting capabilities using Power BI and worked extensively with various databases.
Data Mentor
12/1/2022 - Present

Provided mentorship and support to individuals aspiring to build careers in data science and analytics. Developed proficiency in data analysis, machine learning algorithms, and statistical modeling through practical guidance. Utilized tools such as Python, R, and SQL for data manipulation and analysis, and leveraged frameworks like TensorFlow and Scikit-learn for advanced machine learning applications. Demonstrated expertise in data visualization techniques using Tableau and Power BI, ensuring effective communication of insights. Acquired experience in big data technologies including Hadoop and Spark, fostering understanding of data processing and storage. Ensured continuous learning and skill development by recommending relevant courses, certifications, and industry best practices.
building something new
1/1/2022 - 9/1/2022

Successfully co-founded and validated a startup, providing hands-on experience in entrepreneurial ventures. Gained substantial knowledge in business model validation, market research, and lean startup principles. Developed expertise in building MVPs (Minimum Viable Products) and iteratively improving them based on user feedback and market fit. Acquired skills in managing cross-functional teams, overseeing end-to-end product development, and implementing agile methodologies. Cultivated proficiency with tools and frameworks such as Scrum for project management, customer relationship management (CRM) systems, and various analytics platforms to assess product performance and user engagement. Despite challenges in scaling the company, the role provided invaluable lessons in strategic planning, resource allocation, and operational scaling.
Analytics Engineer - NuPay
7/1/2021 - 12/1/2022

Mentored individuals aiming to build careers in the data sector, imparting extensive knowledge in data analysis, data science, and data engineering. Guided mentees through the intricacies of using tools such as Python, R, and SQL for data manipulation and analysis. Explored machine learning frameworks like TensorFlow and scikit-learn, helping mentees understand and deploy models effectively. Utilized data visualization libraries such as Matplotlib and Tableau to teach best practices in presenting data insights. Provided expertise in big data technologies, including Hadoop and Spark, to prepare mentees for handling vast data sets. Conducted sessions on cloud platforms like AWS and Google Cloud Platform, focusing on data storage, processing, and analytics services available in these ecosystems. Promoted the importance of clean code and version control using Git, emphasizing the necessity of collaborative work practices.
Head of Data & Analytics
9/1/2020 - 6/1/2021

Coordinated a team on a pioneering AI project using Computer Vision, leveraging the largest obstetric ultrasound dataset globally to derive value from video data. Achievements included the automatic anonymization of thousands of videos, extraction of gestational age, and identification of the ultrasound machine used for recording (e.g., GE, Samsung, Siemens, Philips). Selected for the NVidia Inception program as part of this initiative.
Head of Data & Analytics
9/1/2020 - 6/1/2021

Led efforts to establish a robust, comprehensive, and scalable data environment, empowering the organization with actionable insights across all levels. Focused on fostering a data-driven mindset through the development and implementation of various data products. Provided advanced insights and analytics to high-profile customers, including industry leaders.

Contributed to IT team management, facilitating talent acquisition, team building, and cultivating a strong organizational culture. Demonstrated expertise in Python, leveraging libraries and frameworks such as XGBoost, LightGBM, RandomForest, Logistic Regression, and NLP for activities like data wrangling and scraper development. Implemented data pipelines using Airflow and utilized a range of AWS services, including S3, Redshift, RDS, Glue, and EC2, to optimize data storage and processing. Employed Docker for containerization and showcased advanced proficiency in SQL for database management and query execution. Used Metabase for creating insightful data visualizations that supported decision-making processes.