Grace Bouala

Background

About Grace Bouala

Data scientist with a Master of Science in Electrical Engineering and 6+ years of experience developing data-driven solutions to solve complex business problems in various industries like RF, healthcare and computer software. International work experience acquired in the United States of America, Senegal, Canada and Ireland. Experienced at creating regression and predictive models, cleaning and analyzing data, broadcasting the results using data visualization software and deploying the model. My background in both electrical engineering and data science equipped me with a deep understanding of mathematics, statistics, machine learning algorithms and deep learning architectures. This dual expertise also allowed me to develop strong analytical skills. Member of the Institute of Electronics and Electrical Engineers and holder of several coursera certificates, I believe in constantly learning new skills. Seeking a data scientist position in a company where I can maximize my 2+ years experience and apply my skills. My skills encompass - Science: Natural Language Processing (NLP), Machine learning (ML), Deep learning (DL), Optical Character Recognition (OCR), Statistics, Data analysis- Programming: Python, SQL, C/C++, Matlab, Visual Basic- Machine learning frameworks: Scikit-learn, Tensorflow, Pytorch, Pandas, Numpy, Matplotlib- Databases: MySQL- Cloud services: Amazon Web Services (AWS), Microsoft Azure- Data labelling: Prodigy- Model deployment: Cortex- Data visualization: Familiar with Spotfire and Tableau- Version control: Git Contact: gfloraye92@gmail.com