I am Dzekem Christa a Computer Engineering graduate with passion in bringing out insights from data there by improving a healthy growth. This interest has made me learn a lot within a short period of time due to my high curiosity to new discovery, flexibility and adaptability. I have a number of Data science projects I have worked on which in the process I am now able to implement some of the vital skills in this domain like:
Data cleaning, Exploratory Data Analysis, Inferential Statistics, Supervised Machine learning models, Unsupervised Machine learning models, Evaluation of model performance using model evaluation metrics, Model generalization (this resolves underfitting or overfitting) and Hyper parameter tuning for better model performance
Implementing all these measures when building a machine learning system greatly improves model performance and thus making the model produce consistent results to unseen data.
Findings from the chosen model must therefore be brought out in the form of a story. This is also very important as it is a way of transforming the tech language into a business understandable language. I have certifications on data visualization and Innovative story telling where persuasive stories are told from data.
I therefore belief I will add more value and motivation to other team members as my zeal and passion for bringing out insights from data and also making predictions with this data is high.
On my github account are some of the projects I have worked on: https://github.com/dzekem
Thanks for your consideration and hope to hear from you soon.
|Project name||Organization name||Social impact area||Project summary||Task name||Task status|
|Social Media for Public Health||The George Washington University School of Engineering and Applied Science||Education||We are conducting several studies using social media to better understand public health trends and misinformation around COVID-19.||Project scoping||Started|
|GraphLab and IDDP Mapping the Spread||The George Washington University School of Engineering and Applied Science||Education||Dr. Howie Huang’s GraphLab, together with Dr. David Broniatowski and IDDP (Institute for Data, Democracy, and Politics) researchers, is working to map the prevalence and spread of attitudes towards COVID-19 on online social media platforms. They are examining repositories of social media data related to the epidemic, starting as early as January 2020, to map the spread of discussion, information, and attitudes towards the disease and the public health response to the outbreak.||Project scoping||Pending review|