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.
<p>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.<br>
Applied mathematical modelling and statistical techniques/algorithms to extract insights from collected data.<br>
Led the uncertainty assessment of project team-generated data, ensuring accuracy, innovation and reliability in analysis, and contributed to the production of research reports.<br>
Managed databases securely, adhering to the Data Protection Act, and conducted literature and database searches to support research objectives.<br>
Assisted in the preparation of papers and reports for steering groups, providing administrative support to the principal investigator and project researchers.<br>
Supported teaching activities by supervising student projects, demonstrating effective communication, decision making and mentoring skills.<br>
Collaborated with a multidisciplinary research team and external colleagues, fostering a collaborative approach to problem-solving.<br>
Established internal and external contacts, contributing to knowledge development and forming networks for future collaboration.</p>
• 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.
<p>Combined data analysis and sales operations to create a streamlined process for maximum efficiency.<br>
Created an ICP for marketing execution and growth.<br>
Carried out business analysis, marketing mix modelling, data modelling, and logical and physical database design, and database optimisation for the company.<br>
Independently created impactful dashboards, showcasing strong data visualization skills for informed decision-making.<br>
Provided KPI’s to maximise effectiveness and metrics to measure success.<br>
Trained assistants and other members of the team how to properly organise findings and read data collected.<br>
Assessed research requirements and utilising improved tactics for appropriate statistical programming and analysis.<br>
Referred to previous instances and conclusions to determine the ideal strategy for gathering data.<br>
Compared and analysed provided statistical information to identify patterns, analytics and problems.<br>
Communicated with clients to understand and document the business objectives.<br>
Worked with Project Directors to oversee the customer analytics and to increase performance.<br>
Interpreted data, writing reports, and making actionable recommendations using MS Excel and other coding languages.</p>
<p>Worked in a consultative role to provide value-added insights to stakeholders in the form of advice, interpretation and execution.<br>
Created multiple visually impactful dashboards in Excel and Power BI for data reporting, data analysis and optimization.<br>
Extracted, interpreted, and analysed data to identify key metrics and transform raw data into meaningful, actionable insights.<br>
Successfully completed customer analysis, pricing analysis, retention analysis, market analysis, and sales analysis.<br>
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.<br>
Created a report analysing the pricing variations for different products of a client that provided an in-depth understanding of the existing pricing history.<br>
Presented results to the client and drew strategies for managerial action and navigate accordingly.<br>
Built competitor profiles after thorough market research.<br>
Created surveys using SurveyMonkey.</p>
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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