Position: Data Analyst
Category: Data Science
English level: fluent
Years of experience: 7


I'm experienced in collecting, analyzing, and interpreting large datasets, developing models, and performing data management tasks. I do have well experience in Python Programming, SQLAlchemy, Kubernetes, and Docker; SQL programming, Postgres, PostgreSQL, version control in Git, and GitHub, Probability, and Statistics, Mathematics, Data wrangling, Data Engineering, DevOps, MLOps, and Cloud Computing.
I have extensive experiences in Data visualization, such as Tableau, PowerBI, Flourish, and Excel. I have hands-on experience in building ETL packages. I have done a Data Engineering project on Disaster Response Pipelines, the data from Figure Eight. The project has three component phases the ETL Pipeline, and ML Pipeline, and to deploy I used Flask Web App.
I have been working as Research/Data Analyst at Code for Africa, I do have experience in designing, and reporting on, research projects; sources, and mine, and analyzing big data. I Used CrowdTangle and MediaCloud (a Machine Learning and Natural Language Processing) system, to cover the end-to-end process of pulling out raw data, analyzing and extracting insights, and delivering reports. The system can pinpoint differing media narratives using word clouds, word counts, word trees, and word embeddings.
 
I have been working as a Data Analyst / Engineer on media landscape mapping on behalf of the Thomson Reuters Foundation for Kenya, South Africa, and Zambia to better understand the local media landscape. In this project, I collect and scrape data from different sources, do a data cleaning process and store it in the database and finally write the finding of the research.