Problem Solver
Sara Nóbrega
Areas Sara Nóbrega is Knowledgeable in:
Machine Learning ; Data Science ; Physics ; Object detection ; Forecast ; Inference ; Data Analysis ; Data Visualization ; Report Writing.
Techniques Sara Nóbrega Uses:
- data-driven approach to problem-solving;
- formulating hypotheses based on data, testing those hypotheses through statistical analysis and modeling, and then refining those models through careful experimentation and analysis;
- critical thinking, creativity, and collaboration with other experts.
- formulating hypotheses based on data, testing those hypotheses through statistical analysis and modeling, and then refining those models through careful experimentation and analysis;
- critical thinking, creativity, and collaboration with other experts.
Sara Nóbrega's Problem Solving Skills:
- Data Science
- Mechanics, Eletromagnetism
- Algebra, Trigonometry
- Physics
- Mathematical reasoning
- Descriptive/Predictive Statistics
- Machine Learning
- Data analysis
- R language
- Python
- Data Visualization
- Object detection
- Data cleaning
Sara Nóbrega's Problem Solving Experience:
- - Upgraded technical skills in Tensorflow, Keras, Numpy, Pandas, and Scikit-learn, leading to better model performance.
- Explored various unsupervised and supervised models - -Crafted a highly accurate object detection model in Python, with a success rate of over 85%.
-Boosted model accuracy by 5% through strategic hyperparameter tuning and data augmentation (project at work)
- Uncovered significant relationships in exploratory data analysis (project at work)
- Teaching physics and mathematics for more than 3 years