Imoetin Omonhinmin

IMOETIN OMONHINMIN - |-| Liverpool, UK www.linkedin.com/in/omonhinminharrison/ | https://www.tiny.one/harrisondesigns PROFILE SUMMARY Resourceful Data Scientist blending technical know-how with in-depth knowledge of big data capture, statistical analysis, data management and visualisation. Applying expertise in analysing and managing large-scale database applications and generating strategic reports and data analyses to propel business success. Ability to monitor and manage data quality, extract information from data sets and identify patterns. CORE SKILLS & COMPETENCIES ● ● ● ● Data Science/Analysis Business Intelligence Analysis Information Analysis Machine Learning Algorithms ● ● ● ● SQL, R, Tableau, Excel, PowerBI Big Data Processing Dashboard Development Database Management ● ● ● ● Data Visualisation Regression Analysis Chatbot Engineering Diagnostic/Predictive Analysis EDUCATION ● ● M.Sc. in Health Data Science – Swansea University, United Kingdom B.Sc. in Nutrition and Dietetics – Federal University of Agriculture, Nigeria PROFESSIONAL EXPERIENCE Data Analyst - BrisDoc Healthcare Services, Bristol, United Kingdom ● ● ● ● ● ● ● ● ● ● ● ● January 2022 – January 2023 Extracted big data with 2.7m records from PostgreSQL database and utilised statistical analysis and data visualisation techniques in R Studio to identify trends, patterns, and insights. Cleaned, organised, and modelled data in R Studio to identify key factors and patterns related to specific business practices and used predictive analysis to forecast outcomes. Designed an unsupervised learning algorithm to group individuals into clusters with 80% accuracy. Developed a predictive model using supervised learning to forecast potential outcomes for specific individuals or groups based on relevant risk factors with 75% precision. Utilised QGIS to map geological data and used Tableau to identify patterns over time when presenting findings. Data Control Analyst - GLOW Health, Lagos ● ● ● January 2023 - March 2023 Managing database programs, extracting and evaluating complex data, and translating results into understandable terms to inform strategic business planning and facilitating improved operation. Collecting complex data from MS SQL and analysing with a 20% efficiency increase using Excel and Power BI. Participating in analysing and mining business data to identify patterns and correlations among the various data points, manipulating, cleaning and processing data using Excel. Creating visualisations and reports to communicate findings to stakeholders to support business decision-making. Data Scientist (Postgraduate Student) - Swansea University ● March 2023 - Present Gathering information about current business structures, information flows and processes Modelling functional structure, information flows and processes, predominantly using Excel Identifying problem areas in information flows, data recording & processes Identifying options for potential solutions and assessing them for both technical and organisation suitability Present data and subsequent analysis to a broad range of stakeholders Data Analyst Intern - Quantum Analytics, United Kingdom ● January 2023 January 2017 July 2018 – September 2021 Conducted customer analytics on 250 client data which drove business growth by 43% Digitalised data collection process that cut down prolonged time by 15 minutes and improved data quality Conducted monthly checks to ensure the database of client information was up-to-date and organised, including removing duplicates, which improved the efficiency, accuracy, and completeness of entered data. ● Utilised data-driven insights to develop policies, systems, and workflow procedures that drove the overall smooth functioning of the company. TRAINING AND CERTIFICATIONS ● ● ● ● ● Business Analytics with Excel - Simplilearn Research, GDPR, and Confidentiality - Medical Research Council Good Research Practice - Medical Research Council Leadership and Management - SME100 Africa Project Management: Beyond the Basics - Futurelearn In View-