Here, I showcase my skills in solving business problems using Data Analysis and BI concepts and tools — drawing also from other areas of Data, such as Data Science and Data Engineering — through projects based on either real or hypothetical scenarios.
You’ll also find my professional and academic experiences, skills, tools, and concepts that illustrate my development in the Data field.
Feel free to reach out via the links at the end of the page.
I’m Luiz Maycon, nice to meet you!
I currently work as a HubSpot CRM Analyst at Hook Digital. I’m an IT technician and hold a degree in Data Science.
As a professional in CRM and data, my focus is to strengthen the company’s data-driven decision-making process — helping the business become increasingly guided by reliable data in every strategic step.
My priority is solving problems with practicality and iterative delivery. This approach allows me to maintain solution quality while also generating meaningful results as quickly as possible.
I see my role as an enabler: my mission is to increase the efficiency of the ones who bring the business to life — through CRM tools, actionable insights, and a deep understanding of business processes.
I’m known for my strategic and organized mindset. Outside of work, my main hobbies include cycling, motorsports, music, and reading. I’m passionate about understanding how things work.
Above all, I’m driven by seeing and supporting companies grow through the power of data.
Here are some of the tools, languages, and platforms I frequently work with to deliver data-driven solutions.
In this most recent role, I work as a CRM Analyst at Hook Digital, a HubSpot partner tech agency focused primarily on system integrations and migrations into HubSpot. I have worked both as an analyst and as a consultant across implementation/migration projects, audits, and advisory engagements — understanding client pain points, designing and building solutions, training teams, and performing data migrations.
I also take part in our internal team that supports international clients, working on projects that require English for writing, reading, listening, and speaking.
The main impacts I’ve delivered across the projects I’ve worked on include:
The clients I’ve supported span several industries, including healthcare, education, construction, metallurgy, banking and financial services, technology, retail, and others.
I also work as an independent business analyst for a small bakery where I previously worked as a sales clerk for a little over three years. I’m responsible for collecting and analyzing data, generating reports, and supporting decision-making alongside the business owner.
I also worked as a Data Analyst Intern at Rehagro, an education company focused on agribusiness. I was assigned to the corporate sales department, where my main responsibilities included: creating and automating spreadsheets using Google Sheets and Apps Script, maintaining dashboards in Power BI, building, evaluating, and maintaining pipelines and dashboards in HubSpot, cleaning objects in HubSpot, supporting the Prospecting team with bulk lead generation using Python, and assisting the Management and HR team with registering and updating roles, skills, and employee records in the Sólides platform.
Also at the bakery mentioned above, I mainly worked as a counter clerk and cashier. I was responsible for leading a counter team of seven, managing communication between the counter and kitchen teams, and overseeing the company’s management system. Under my leadership, we also introduced a delivery service and increased the company’s presence on social media.
For over two years, I took part in a learning community focused on Data professionals, especially Data Scientists and Data Analysts. During this time, I completed several projects, joined hackday competitions, participated in live sessions and mentorships, and earned multiple knowledge certificates.
I’m in my final semester of a Bachelor’s degree in Data Science at Cruzeiro do Sul, where I gained the opportunity to pursue an internship and fully enter the data field. During my studies, I was introduced to programming languages such as Python and R, Oracle databases, concepts of data structure, data mining and modeling, statistical inference, exploratory data analysis, Business Intelligence, operating systems, cloud computing, artificial intelligence, applied programming, information modeling and visualization, big data, machine learning, neural networks, predictive analysis, and classification.
During my time as a Information Technology (IT) student at the Federal Institute of Education, Science and Technology of Rio Grande do Norte (IFRN), I gained hands-on experience with a wide range of tools and technologies relevant to the IT field. I was introduced to programming and scripting languages such as C, C++, C#, JavaScript, HTML, CSS, and SQL, as well as MySQL databases. I also learned about computer maintenance, network engineering, electricity, and electronics concepts.
At the end of the program, I developed (in a team of two) my final project entitled “Do The Evolution!: A Gamification Proposal for Teaching the Theory of Evolution in Schools”, a virtual game designed as an educational tool to support teaching Evolution and demonstrate the benefits of gamification in education. The project was implemented using Unity as the game engine, C# (C Sharp) as the programming language, and Figma as the design editor.
The project aims to answer two questions posed by the business team of a fictional real estate company called House Rocket Company: 1) Which properties should House Rocket purchase, and at what price? 2) Once purchased, what is the best time to sell these properties, and at what price? To answer these questions, a dataset from Kaggle was collected and analyzed.
This project involved data collection from a website (web scraping) and subsequent analysis to answer questions posed by the owners of Star Jeans Company, a fictional company preparing to enter the e-commerce fashion retail sector. The questions were: 1) What is the optimal selling price for the jeans? 2) Which types of jeans and colors should be included in the initial product line? 3) What raw materials are needed to manufacture the jeans?
With the goal of 1) encouraging a small business to adopt technology in its daily operations and 2) helping the business gain better insights about itself through data, an initial data engineering setup was implemented at Panificadora Sabores & Massas. This setup allowed the company to start collecting data daily and generating its first analyses and reports on a regular basis, as well as providing examples of decisions made based on this data.