Highly skilled professional with extensive expertise in data analytics, clinical coding, and project management. Demonstrates exceptional proficiency in Good Clinical Practice (GCP), statistical data collection, and advanced Excel usage. Adept at handling unstructured data, developing algorithms, and utilising Power BI for data visualisation. Strong analytical thinker with a collaborative mindset and a proven track record of precision under pressure. Committed to ethical decision making and continuous improvement in multidisciplinary environments. Career goal: to leverage analytical reasoning and negotiation proficiency to drive impactful healthcare solutions.
Collating and Formatting Data: Skilled in gathering data from various sources and ensuring it is formatted consistently in line with industry standards to facilitate analysis and integration.,
Data Blending: Proficient in merging data sets while maintaining data integrity, handling discrepancies, and ensuring compatibility between different data sources.,
Data Quality Management: Experienced in identifying and addressing common data quality issues, including misclassification, duplicate entries, spelling errors, obsolete data, compliance issues, and interpretation/translation errors.,
Data Validation: Knowledgeable in methods for checking the accuracy and reliability of data and implementing corrective actions to ensure high data quality.,
Data Filtering: Adept at filtering large data sets to extract relevant information using various tools and methods to support project objectives.,
Advanced Excel skills (formulas, VLOOKUP)., Statistical Methods and Data Modelling: Proficient in applying fundamental statistical techniques and basic data modelling approaches to organize, interpret, and normalize unstructured data for consistent analysis., Data Visualization: Experienced in using management and presentation tools to create visual data representations such as graphs and charts and reviewing and interpreting visual data effectively.,
Communication Skills: Effective in written, verbal, and non-verbal communication, including presentations. Skilled in adapting communication techniques to suit different audience types and delivering clear, concise data insights.,
Data Architecture: Understanding of data frameworks, including on-premises and cloud storage solutions, and structuring data for optimal storage and retrieval., Narrative Communication: Capable of crafting coherent stories or narratives to explain data findings and using storytelling techniques to make data insights more accessible and engaging., Legal and Regulatory Compliance: Knowledgeable in legal and regulatory requirements related to data protection, data security, intellectual property rights, data sharing, marketing consent, and personal data definition.