Kwabena Osei-Tutu

I am passionate about data. I have over 4 years of experience in information technology (IT) in the telecommunications industry. My work has always revolved around data, whether it's system reporting or a management platform that collected and translated the electronic data recorder (EDR) and delivered it to the data warehouse. I shared joint responsibility for the application databases I managed with the database administrators. My interest in working with data grew more and more in 2019, I enrolled at UniLaSalle, to pursue a master's program in data science.

I apply computer and statistical techniques, data mining, machine learning and deep learning in sectors that require data analysis to derive added value. I am proficient in data analysis and visualization tools such as Microsoft Excel and Tableau. I have built projects using Python Machine Learning and Deep Learning techniques such as regression, classification, clustering, time series and natural language processing (NLP).

I am familiar with Python frameworks such as Pandas, Numpy, Matplotlib, Plotly, Scikit Learn, NLTK and Keras.

I like to write and share data science projects. I also like to try my hand at mobile development and web development.

Core skills: Data analysis, data science and machine learning with Python and R programming language, data visualization, natural language processing with NLTK, dashboard development with Tableau, database query using SQL, MYSQL, MongoDB and Oracle SQL.

Tools: Google colab, jupyter notebook, Android Studio, Microsoft Visual Studio Code, Eclipse IDE, Netbeans IDE, SOAP UI, mRemote, R Studio, Tableau Desktop.