Miguel Ferreira Email & Phone Number

Maia, Pt

Portugal

Selected to participate in the first edition of the IT Rotation Program at H.B. Fuller.Over the next 2 years, I will complete 4 rotations of 6 months in different IT areas, taking on roles such as Analyst, Developer, Engineer, and Project Manager.Each rotation involves completing a specific project within one of the IT departments:• PMO• Cyber Security• Infrastructure• Global Data Management• Operations• Applications• ERPThis experience will provide a comprehensive understanding of the company's IT landscape, gaining practical and broad knowledge across multiple technological fields, as well as in different roles and duties.

Portugal

Applied ETL (Extract, Transform, Load) methodologies, specifically using SSIS, to extract, transform, and load data from multiple sources, ensuring data quality and integrity for Pricing purposes.Proficiently designed and maintained interactive dashboards using Microsoft Power BI, facilitating data visualization and communication of actionable insights, thereby improving decision-making processes.Collaborated with cross-functional teams to define project scopes, objectives, and deliverables, ensuring alignment with business goals for FLIP application.Conducted rigorous code reviews to uphold data integrity and adhere to best practices in scripts, queries, and procedures.Demonstrated expertise in proficiently managing and optimizing databases, including Microsoft SQL Server, to enhance data storage and retrieval efficiency.Developed and implemented Python-based data automation solutions, streamlining data extraction from diverse sources.Orchestrated comprehensive ETL processes, spanning data cleansing, transformation, and validation, resulting in the deployment of cleansed data to support well-informed decision-making.

Employed ETL (Extract, Transform, Load) tools, including SSIS, to extract data from various sources, transform it, and load it into databases, ensuring data quality.Created and maintained interactive dashboards with Microsoft Power BI to visualize and communicate data-driven insights, enhancing decision-making.Collaborated in defining project scopes, objectives, and deliverables, ensuring alignment with business goals within project management efforts.Conducted code reviews to uphold best practices and data integrity in scripts, queries, and procedures.Proficiently managed and maintained databases, such as Microsoft SQL Server, optimizing data storage and retrieval efficiency.Developed Python-based data process automations, streamlining data extraction from diverse sources, including APIs, FTP, and web scraping.Orchestrated end-to-end ETL processes, encompassing data cleansing, transformation, and validation, culminating in deploying cleaned data for informed decision-making.Leveraged Microsoft Azure for cloud-based data storage and analysis, optimizing operational data management.

Diligently assessed and tracked students' progress throughout the intensive 9-week Full-time Data Analytics bootcamp, ensuring their comprehension and mastery of key concepts and skills.Served as a dedicated coach, mentor, and guide to students, providing invaluable support and guidance on programming, analytical techniques, and machine learning projects, fostering a nurturing and collaborative learning environment.Meticulously reviewed and evaluated student projects, offering constructive feedback and insights to facilitate their growth and development, contributing to their overall learning experience.

Proficiently selected appropriate statistical tests tailored to specific analytical requirements and conducted a wide range of statistical analyses using advanced tools.Collaborated effectively with diverse teams comprising 30 colleagues across multiple projects, fostering a dynamic and cooperative work environment.Demonstrated expertise in data analysis by performing comprehensive data assessments utilizing SPSS and Python, delivering valuable insights to guide data-driven decision-making.Successfully completed 20 hours of rigorous industry training, enhancing skills in data analysis, statistical modeling, and data visualization.Committed to professional development, engaged in a demanding four-week work assignment with consistent weekend meetings, ensuring project milestones were met on time.

Master Of Engineering - Meng, Informatics Engineering - Information & Knowledge Systems

Data Science Engineering, 17

• Apply KDD (knowledge discovery in databases) to multivariate data, in particular classification tasks • Perform exploratory data.

Data Analytics

•9 weeks of data immersion. •Data Analysis using Python and more than 20 different libraries (Pandas, NumPy, etc. ) & MySQL/MySQL.

Bachelor Of Business Administration - Bba

• 3 years bachelor degree in Business Administration; • 30 curricular units, of 6 ECTS each.

Cambridge B2

EF Cape Town - South Africa

High School Diploma, Science And Technology

Education record

EF Cambridge - England