Victor Hugo Rocha De Oliveira Email & Phone Number

Minas Gerais, Brazil

Brasília, Distrito Federal, Brasil

- Development of Machine Learning and Generative AI models to optimize operations in the tourism sector.- Churn prediction model: Reduced execution time by 16 times and decreased operational costs in the cloud AWS.- Algorithm optimization: Collaborated with another data scientist to refactor algorithms, transforming serial executions into parallel and isolated applications, achieving an overall efficiency of ~90% in execution speed.- Sentiment analysis: Utilized Large… Show more - Development of Machine Learning and Generative AI models to optimize operations in the tourism sector.- Churn prediction model: Reduced execution time by 16 times and decreased operational costs in the cloud AWS.- Algorithm optimization: Collaborated with another data scientist to refactor algorithms, transforming serial executions into parallel and isolated applications, achieving an overall efficiency of ~90% in execution speed.- Sentiment analysis: Utilized Large Language Models (LLMs) in the AWS Bedrock for customer sentiment analysis, extracting insights from post-checkout surveys.- Hotel segmentation: Developed a model using Clustering and Generative AI to segment hotels based on the value generated by the company-hotel partnership, identifying performance patterns and optimization opportunities.- Automated model monitoring: Implemented monitoring via webhook with alert notifications through Google Chats, automating event management for the Data Intelligence team.- Presentations for stakeholders: Delivered presentations on machine learning models and exploratory data analyses to the board, management, and other business areas.Multidisciplinary collaboration: Worked with diverse teams to integrate data solutions, highlighting communication and teamwork skills. Show less

Ipatinga

Position responsible for applying data science techniques for CRM. Some of the activities performed include:- Churn Prediction Model: Developed a machine learning model for churn prediction, achieving a 3x higher accuracy rate than the company's standard churn rate. Enabled the implementation of retention campaigns and personalized communication strategies with each customer.- Probability Model for Customer Debt Payment: Developed a machine learning model to calculate… Show more Position responsible for applying data science techniques for CRM. Some of the activities performed include:- Churn Prediction Model: Developed a machine learning model for churn prediction, achieving a 3x higher accuracy rate than the company's standard churn rate. Enabled the implementation of retention campaigns and personalized communication strategies with each customer.- Probability Model for Customer Debt Payment: Developed a machine learning model to calculate the probability of customers pay their debts, assigning scores from 0 to 100%. Resulted in a +20.5% increase in customer conversion and a +15.3% monthly revenue increment.- Reduction of Defaultt: Developed a method to estimate the probability of customers remaining default monthly. Presenting the project to the Vice President led to changes in business rules. Marketing campaigns generated an average ROI of 190%.- Reactivation Probability Model: Creation of a machine learning model that delivers the probability of salespeople contacting and reactivating former customers.- Marketing Campaign Data Analytics Framework: Developed a Python framework and Power BI dashboard that fetches comprehensive data on product usage, customer payment history, conversions, Customer Lifetime Value (LTV), and meticulously tracks marketing campaigns and retention strategies.- Target Audience Segmentation: Precisely segmented communication channels in marketing campaigns, calculating ROI and projecting LTV for the CRM team's strategies.- ETL and Data Visualization: Responsible for data manipulation and modeling across various sources, as well as presenting to managers and creating visualizations using Streamlit and Power BI. Show less

Santa Catarina, Brasil

For three years, I focused on researching and developing machine learning techniques tailored for the medical field. The primary work was conducted using Python and PyTorch, leveraging resources on the Google Cloud Platform (GCP).I developed a deep learning model for predicting brain age using Magnetic Resonance Imaging (MRI) images, resulting in an error margin of +/- 3.4 years in predictions. The potential impact is promising for advancing research that can assist medical teams in… Show more For three years, I focused on researching and developing machine learning techniques tailored for the medical field. The primary work was conducted using Python and PyTorch, leveraging resources on the Google Cloud Platform (GCP).I developed a deep learning model for predicting brain age using Magnetic Resonance Imaging (MRI) images, resulting in an error margin of +/- 3.4 years in predictions. The potential impact is promising for advancing research that can assist medical teams in identifying neurodegenerative issues.- Data extraction, transformation, and loading.- Application of Machine and Deep Learning techniques to structured and unstructured data.- Implementation of mathematical modeling techniques.- Frameworks: Sklearn, PyTorch, and TensorFlow.- Cloud: GCP Vertex AI, GCP Cloud Storage.Dissertation: https://repositorio.ufsc.br/handle/123456789/247683 Show less

Minas Gerais

Company specialized in Solutions for Industry 4.0, Embedded Systems, Mechatronics, and Collaborative Robotics.Responsibilities:Assisted in the development and assembly of embedded systems and games using Python.Participated in the execution of Internet of Things (IoT) projects.Conducted SMD soldering on PCBs and aided in the assembly and installation of systems.Tools used:Python / MicroPython;Raspberry Pi / Arduino;SMD soldering equipment

Mestrado, Engenharia Elétrica, 9.16

Activities and Societies: Machine Learning and Applications Research Group. Thesis: Deep Learning for Predicting Brain Age.

Superior, Engenharia Elétrica

Final Paper: Implementation of the Kalman Filter for Vehicle Navigation Analysis in a Stochastic Environment. Awards: Best graduate.

Técnico, Técnico Em Eletrotécnica