About me

My name is Victor Reis, and I'm currently working as a BI and Automation Consultant, focusing on data analysis, automation, and programming. With over three years of experience in the data field and a background in Electrical Engineering, I apply my skills in automation and dashboard creation to generate valuable insights for strategic decision-making, directly addressing complex business challenges. In my role, I support high-level decision-making by developing impactful, data-driven narratives that add value to organizational processes and outcomes.

I am passionate about AI and Data Science and hold a specialization in Data Science, along with an Azure Data Engineer certification. I've previously worked in projects that have equipped me with a robust technical foundation in classification, regression, and neural network models, and have honed my abilities in analytical thinking, problem-solving, and effective communication with both stakeholders and senior management. Recently, I am working on various AI-focused projects, exploring Natural Language Processing (NLP), clustering, recommendation systems, and Large Language Models (LLMs).

Beyond project work, I am committed to expanding my skills and portfolio in AI product development, including areas like Retrieval-Augmented Generation (RAG) and agent-based models. My technical proficiency includes Python, SQL, PowerBI, and tools like PowerAutomate and PowerApps, which I utilize to create efficient, scalable solutions. My goal is to continuously deepen my expertise and drive innovation within data science and AI, creating real-world impact through automation and advanced analytics.

AI and Automation Projects

AI-Powered YouTube Sentiment Analysis

This project aims to help business owners and marketing teams understand how a product or service is being received in the media in a simple and automated fashion, by searching for a specific term on Youtube, returning a list of videos, filtering out the relevant ones and analyzing their comments. Through the use of AI and NLP, the comments obtained are classified as positive, neutral, or negative. Additionally, word clouds and summaries are generated to highlight key sentiments and trends for each video and the entire group.

    Tools and libs used:

  • Python, Pandas, Numpy, requests, nltk
  • APIs: Youtube and OpenAI
  • LLM: ChatGPT
  • App deployment: Streamlit Cloud

Data Science Projects

Price Analysis and Portfolio Recommendations - House Rocket

Using Python along with the Streamlit framework, I developed an interactive dashboard that performs statistical and locational analysis of real estate with filters, tables, and maps, as well as business insights and recommendations for buying and selling properties to maximize operational profits.

    Tools and libs used:

  • Python, Pandas, Numpy, Plotly
  • Streamlit, Folium and Geopandas
  • Jupyter Notebook and Visual Studio Code
  • App deployment: Streamlit Cloud

HR Analytics and Clustering to reduce Attrition

We analyze a dataset from a fictional company aiming to understand the high attrition rates of and propose strategies to reduce them. After performing an EDA and clustering algorithms to group the employees, the found hypothesis and results are shown in an interactive PowerBI report facilitating the identification of the insights and decision-making for HR and management.

    Tools and libs used:

  • Python, Pandas, Numpy, Matplotlib, Seaborn, Plotly
  • Scipy and statistical tests
  • K-Means and DBScan
  • PowerBI

Previous Experiences

> BI and Automation Specialist (1 year-current)

Analysis of operational data and KPIs aiming to track and improve the network's performance. Construction of PowerBI reports with clear and relevant visualizations, integrating data from different sources such as GCP, web and local, providing actionable insights to facilitate decision-making for business problems. Development of automated routines utilizing PowerAutomate, Python, SAP, SharePoint and AI tools.

> Data Scientist Aspirant (2 years)

Did a 1-year specialization course in Data Science, which covered the most important topics needed to implement advanced data solutions, including several hands-on projects. Also was a member of a Data Science learning and training Hub: achieved specific training and solved proposed problems through data analysis and machine learning in various projects simulating real-world business scenarios. Hard skills learned include Python, Machine Learning, Git, Streamlit, SQL and Cloud Platforms.

> Wireless Networks Engineer, Instructor and Support Analyst in Telecom Industry (6 years)

Supervised solutions planning, integration, and activation of mobile network equipment while supporting local teams and telecom operators. Created test scripts, resolved technical issues, coordinated remote technical teams, and prepared technical documentation, resulting in optimized network processes and achieving key internal milestones. Delivered training sessions on 4G and 5G technologies in English, enhancing knowledge across diverse audiences. As a support analyst working in a project to improve a web system for Brazil's Telecommunications Agency, improved customer satisfaction through system maintenance, bug fixes, and new feature development using PHP, JavaScript, SQL and MongoDB which reduced calls and increased system robustness.