Luiz D.

Data Scientist

Data Scientist
8/1/2016 - 11/1/2023

Identified patterns, trends, and opportunities for improvement in digital marketing campaigns. Created strategies to optimize investment in media channels and personalized the customer experience to maximize the impact of marketing actions.

Data Analyst
10/1/2015 - 12/1/2015

Executed comprehensive exploratory analysis of medical data, generating detailed reports on findings. Applied advanced statistical techniques and data visualization tools to uncover insights. Developed strong proficiency in Python and R, utilizing libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data manipulation and visualization. Employed SQL for efficient data querying and management. Used Jupyter Notebook for documentation and presentation of analytical processes. Demonstrated expertise in critical thinking and problem-solving to derive actionable insights from complex datasets. Ensured high-quality deliverables by adhering to best practices in data analysis and reporting.

Data Analyst
10/1/2015 - 11/1/2015

Excelled in conducting exploratory data analysis to assess employee sales performance in dealerships. Developed proficiency in Python and R for data manipulation and visualization, utilizing libraries such as pandas, NumPy, and Matplotlib. Demonstrated expertise in SQL for data extraction and management. Employed statistical methods to identify key performance indicators and trends. Enhanced reporting and decision-making through the creation of interactive dashboards using Tableau and Power BI. Implemented data cleaning and preprocessing techniques to ensure data quality and integrity. Applied machine learning algorithms to predict future sales performance and optimize staffing levels. Conducted detailed data analysis presentations to stakeholders, driving informed business decisions.

Data Scientist
12/1/2013 - 9/1/2014

Executed the project Determination of the Physical State of Conservation of Insulators with a focus on implementing Artificial Neural Networks for diagnosing faults and dirt in high voltage insulators. Developed a deep understanding of neural network architectures and machine learning algorithms to identify and classify the conditions of insulation equipment. Utilized tools such as TensorFlow and Keras for designing and training models. Conducted extensive data collection and preprocessing using Python libraries including Pandas and NumPy. Incorporated image processing techniques with OpenCV to enhance the identification process. Leveraged SQL databases for managing datasets and ensuring efficient data retrieval. Implemented version control practices through Git to maintain collaborative development and ensure code integrity. This role demanded strong analytical skills and the ability to translate complex technical requirements into effective, actionable solutions.

Data Scientist
6/1/2013 - 3/1/2014

Led the Smart Total Customer Experience project, implementing supervised machine learning algorithms to classify Hewlett-Packard laptops at risk of crashing due to overheating. Developed proficiency in Python and R, utilizing libraries such as Scikit-learn, TensorFlow, and Keras for model building and training. Adeptly handled data preprocessing and feature engineering, employing tools like Pandas, Numpy, and SQL for data manipulation and extraction. Conducted extensive exploratory data analysis using Matplotlib and Seaborn to identify key risk factors. Enhanced data visualization skills to effectively communicate findings.

Utilized Git for version control to manage the codebase and facilitate team collaboration. Integrated machine learning models into a production environment using Docker and Kubernetes, ensuring scalable and reliable deployment. Automated workflows and model retraining using Jenkins, showcasing expertise in continuous integration and continuous deployment (CI/CD) pipelines. Emphasized the importance of model validation and performance monitoring, employing cross-validation techniques and leveraging tools such as MLflow for experiment tracking. Delivered significant improvements in predictive accuracy, contributing to enhanced proactive maintenance strategies and customer satisfaction.

Scholar: Junior Scientific Initiation - Human Resource Training in Analytics (Data Analysis)
2/1/2012 - 5/1/2013

Managed and executed a comprehensive Human Resources Training project focused on Data Analysis and Analytics. Developed expertise in statistical techniques including hypothesis testing and confidence intervals. Specialized in data mining and pattern recognition. Acquired proficiency in both supervised and unsupervised machine learning, along with Bayesian networks. Gained substantial experience handling big data. Enhanced skills in visual analytics to effectively present complex data insights.

Computer Science at Federal University of Campina Grande
2009 - 2013

Artificial Intelligence at University of Pernambuco
2014 - 2016

Data Science Bootcamp (In Progress) at Data Tech Florida USA
11/1/2023

Data Science: Machine Learning at Harvard University
11/1/2023

Exploratory Data Analysis at The Johns Hopkins University
1/1/2016

Mini Course in Challenges in Cloud Computing, Database and Big Data at SBC
10/1/2012