INTEGRITY | RESPECT | PERFORMANCE EXCELLENCE | ACCOUNTABILITY
With over 16 years of experience in Information Technology, I have gained extensive knowledge in various areas such as predictive modelling, exploratory data analysis (EDA), natural language processing (NLP), deep learning (DL), neural networks, design, installation and implementation of multi-tier Business Intelligence systems, and client-server technology. My experience with Microsoft technology and Data Analytics has allowed me to develop a range of skills.
As a Data Scientist, I have accumulated 4+ years of hands-on experience in analyzing data, designing, interpreting, visualizing, and deploying machine learning algorithms using Python. In my work, I have utilized various tools such as Spyder and Jupiter to deploy machine learning models. I have also been able to provide executive leadership teams with insights, analytics, reports, and recommendations, which enable effective strategic planning across all business units, distribution channels, and product lines.
My experience with supervised and unsupervised learning, as well as text classification, has given me a hands-on understanding of these methods. Additionally, I am efficient in understanding business requirements and transforming them into a data model.