Passionate data professional with 5 years of hands-on experience in machine learning, data analysis, artificial intelligence and data visualisation. MSc in applied data science with a specialisation in renewable energy. …
Passionate data professional with 5 years of hands-on experience in machine learning, data analysis, artificial intelligence and data visualisation. MSc in applied data science with a specialisation in renewable energy. Currently contributing data expertise as a Graduate Research Assistant at the University of Exeter in the European Space Agency's Ocean Health project. Excited about collaborating with global leaders to deliver innovative data-driven solutions.
Conducted and executed experiments which increased accuracy to analyse marine carbonate systems and atmosphere-ocean gas exchange, utilising scientific computation and python programming for data analysis and predictive modelling.
Applied mathematical modelling and statistical techniques/algorithms to extract insights from collected data.
Led the uncertainty assessment of project team-generated data, ensuring accuracy, innovation and reliability in analysis, and contributed to the production of research reports.
Managed databases securely, adhering to the Data Protection Act, and conducted literature and database searches to support research objectives.
Assisted in the preparation of papers and reports for steering groups, providing administrative support to the principal investigator and project researchers.
Supported teaching activities by supervising student projects, demonstrating effective communication, decision making and mentoring skills.
Collaborated with a multidisciplinary research team and external colleagues, fostering a collaborative approach to problem-solving.
Established internal and external contacts, contributing to knowledge development and forming networks for future collaboration.
• Conducted and executed experiments which increased accuracy to analyse marine carbonate systems and atmosphere-ocean gas exchange, utilising scientific computation and python programming for data analysis and predictive modelling.
• Applied mathematical modelling and statistical techniques/algorithms to extract insights from collected data.
• Led the uncertainty assessment of project team-generated data, ensuring accuracy, innovation and reliability in
analysis, and contributed to the production of research reports.
• Managed databases securely, adhering to the Data Protection Act, and conducted literature and database searches
to support research objectives.
• Assisted in the preparation of papers and reports for steering groups, providing administrative support to the
principal investigator and project researchers.
• Supported teaching activities by supervising student projects, demonstrating effective communication, decision
making and mentoring skills.
• Collaborated with a multidisciplinary research team and external colleagues, fostering a collaborative approach to
problem-solving.
• Established internal and external contacts, contributing to knowledge development and forming networks for
future collaboration.
Combined data analysis and sales operations to create a streamlined process for maximum efficiency.
Created an ICP for marketing execution and growth.
Carried out business analysis, marketing mix modelling, data modelling, and logical and physical database design, and database optimisation for the company.
Independently created impactful dashboards, showcasing strong data visualization skills for informed decision-making.
Provided KPI’s to maximise effectiveness and metrics to measure success.
Trained assistants and other members of the team how to properly organise findings and read data collected.
Assessed research requirements and utilising improved tactics for appropriate statistical programming and analysis.
Referred to previous instances and conclusions to determine the ideal strategy for gathering data.
Compared and analysed provided statistical information to identify patterns, analytics and problems.
Communicated with clients to understand and document the business objectives.
Worked with Project Directors to oversee the customer analytics and to increase performance.
Interpreted data, writing reports, and making actionable recommendations using MS Excel and other coding languages.
Worked in a consultative role to provide value-added insights to stakeholders in the form of advice, interpretation and execution.
Created multiple visually impactful dashboards in Excel and Power BI for data reporting, data analysis and optimization.
Extracted, interpreted, and analysed data to identify key metrics and transform raw data into meaningful, actionable insights.
Successfully completed customer analysis, pricing analysis, retention analysis, market analysis, and sales analysis.
Analysed customer survey data by formulating the net promoter score in Power BI, creating dashboards and providing necessary insights, and presented recommendations to improve the situation and for risk management.
Created a report analysing the pricing variations for different products of a client that provided an in-depth understanding of the existing pricing history.
Presented results to the client and drew strategies for managerial action and navigate accordingly.
Built competitor profiles after thorough market research.
Created surveys using SurveyMonkey.
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