Richmond Quaison
Dagenham,Greater London
Summary
A motivated and analytical data scientist with a solid foundation in statistical analysis, machine learning, and data manipulation. Eager to leverage academic knowledge and practical experience to extract meaningful insights from complex datasets. Proficient in programming languages such as Python and R, with a proven ability to develop predictive models and contribute to data-driven decision-making. Strong communicator and collaborative team player, dedicated to solving real-world problems using data-driven approaches. Seeking opportunities to apply expertise in a dynamic and innovative data science role.
Overview
3
3
years of professional experience
5
5
years of post-secondary education
Work history
Data analyst
Social Security And National Insurance Trust
Obuasi
2021.11 - 2021.12
- Improved data integrity with rigorous auditing and cleansing.
- Generated reports from extracted data for analyses.
- Participated in requirements meetings and data mapping sessions to understand business needs.
- Analysed large datasets, drawing meaningful conclusions and providing actionable recommendations.
- Mined data to identify trends and inform business decision-making processes.
- Coached and mentored junior analysts in data mining best practices, uplifting team capabilities.
- Cleansed and ordered data to maintain efficient warehousing operations.
- Tested AI and ML solutions to recognise increased automation possibilities.
Database Administartor Intern
Bryant Mission Hospital
Obuasi
2019.01 - 2019.12
- Created and maintained databases
- Collected and analyzed data, providing recommendations to help improve database performance.
- Oversaw transition from paper to electronic management system
- Created and maintained data models that depicted relationships between data elements.
Education
Master of Science - Data Science
University of Greenwich
Greenwich, United Kingdom 2023.01 - 2024.01
Stanford CS229 - Machine Learning
Stanford University
Bachelor of Science - Statistics
Kwame Nkrumah University of Science & Technology
Kumasi, Ghana 2017.09 - 2021.11
Skills
Technical Skills
- Programming Languages: Python (NumPy, Pandas, Scikit-learn, Scipy,)
- Statistical Computing with R
- Machine Learning: Regression, Classification, Clustering, Tensor Flow
- Data Visualization: Matplotlib, Seaborn, Tableau, Power BI, Spotfire
- Statistical Analysis: Hypothesis Testing, Descriptive Statistics
- Databases: NoSQL, Graph Database
- Microsoft Office Suite ( Excel, Word, PowerPoint)
- Latex Software
- Hadoop
-Dataiku
-AWS, Azure
Soft Skills
- Strong Problem-Solving and Critical Thinking Abilities
- Excellent Communication skills
- Teamwork
- Persistence and Attention to Detail
- Organizational skills and ability to prioritize effectively
Timeline
Master of Science - Data Science
University of Greenwich
2023.01 - 2024.01
Data analyst
Social Security And National Insurance Trust
2021.11 - 2021.12
Database Administartor Intern
Bryant Mission Hospital
2019.01 - 2019.12
Bachelor of Science - Statistics
Kwame Nkrumah University of Science & Technology
2017.09 - 2021.11
Stanford CS229 - Machine Learning
Stanford University