Randy Moses
Paisley
Summary
I am a Data Scientist passionate about leveraging algorithms to uncover future trends and drive actionable business decisions. Proficient in Python, SQL, and Machine Learning foundations, with a strong understanding of core Data Science principles. Eager to apply technical skills and analytical mindset to contribute to data-driven solutions.
Overview
6
6
years of professional experience
5
5
years of post-secondary education
Work History
Entry Level Data Scientist
Young Achievers Group
Waltham Cross, Hertfordshire
12.2022 - 02.2024
- Led the aggregation of unstructured data from conference attendants and built interactive dashboards using Tableau to visualise the number of attendants for every conference, reducing manual reporting work.
- Implemented Python for data cleaning and preprocessing activities, which resulted in a 20% increase in efficiency.
- Redesigned and improved the organisation's website functionality based on A/B testing results.
Research Associate
AITI-KACE
Sunyani, Bono
07.2019 - 11.2022
- Automated data extraction from IoT sensing nodes using SQL for analysis.
- Utilised machine learning algorithms to process the data from IoT sensing nodes to predict crop yield, reducing labour costs by 15%.
- Conducted extensive research on emerging IoT technologies and trends, providing critical insights and recommendations to guide business strategy.
- Collaborated with cross-functional teams to analyse and interpret data collected from IoT sensing nodes, identifying trends and patterns that informed product development.
Data Science Intern
MorLan Technologies
Accra
04.2018 - 06.2019
- Streamlined data processing tasks by designing new algorithms in Python.
- Assisted in enhancing the accuracy of prediction of models by 10%, utilising machine learning techniques.
Education
Master of Science - Information Technology
University of the West of Scotland
Paisley, RFW 01.2023 - 05.2024
Bachelor of Science - Electrical/Electronic Engineering
Kwame Nkrumah University of Science and Technology
Kumasi 09.2014 - 06.2018
Skills
Growth Mindset
undefinedAdditional Information
Technical Skills:
Programming & Software: Python (Pandas, Scikit-Learn, NumPy)
Machine Learning: Linear Regression, SVM, Ensemble Models
Data Visualisation: Tableau, Matplotlib, Seaborn
Technical Courses:
Introduction to Data Science in Python (Coursera)
Neural Networks and Deep Learning (Coursera)
Introduction to Embedded Systems Software and Development Environment (Coursera)
Timeline
Master of Science - Information Technology
University of the West of Scotland
01.2023 - 05.2024
Entry Level Data Scientist
Young Achievers Group
12.2022 - 02.2024
Research Associate
AITI-KACE
07.2019 - 11.2022
Data Science Intern
MorLan Technologies
04.2018 - 06.2019
Bachelor of Science - Electrical/Electronic Engineering
Kwame Nkrumah University of Science and Technology
09.2014 - 06.2018
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