• Crafted intuitive data visualizations and dashboards in QLIK and Power BI, offering real-time insights into customer behaviour and product engagement. These insights informed the development of 2 major feature updates, directly contributing to a 25% increase in user retention over 6 months.• Conducted comprehensive data analysis using a range of Excel functions and Formulas, uncovering key user behaviour patterns. • Collaborated effectively with product engineers, leveraging advanced SQL and Excel skills for in-depth data analysis and efficient prototype transformation, contributing significantly to a 20% enhancement in product development efficiency and a 15% improvement in customer satisfaction ratings.• Executed end-to-end ETL processes and integrated diverse data sources including SQL databases to develop comprehensive weekly and monthly KPI reports across all product areas to identify trends, patterns, and communicate insights.

• Leveraged statistical modelling and machine learning using Python and scikit-learn to automate data ingestion and normalization processes from electronic health records and laboratory systems. •Employed TensorFlow to develop and fine-tune Convolutional Neural Networks (CNNs) for image-based diagnostic tools, enhancing model accuracy by 25%. • Collaborated with the data engineering team to design and implement an efficient data pipeline on AWS Cloud, integrating various data sources into a centralized data lake. Utilized Apache Airflow for orchestration.• Spearheaded the automation of ETL processes, incorporating data cleansing and validation techniques to ensure the accuracy and integrity of diagnostic data. •Utilized advanced Excel skills for formula creation and data manipulation, leading to a 30% reduction in data processing time and significantly improving report reliability.• Developed and maintained QLIK dashboards for real-time monitoring of laboratory key performance indicators (KPIs), employing data visualization and report development expertise.• Led SQL database development, design, and maintenance in Microsoft SQL Server to optimize real-time stock data tracking. Achieved 35% enhancement in stock-out forecast precision and reorder frequency.• Presented results to team's regional head and stakeholders, explaining insights through 5 data visualization dashboards made using Power BI. •Successfully conducted the processing, cleaning, wrangling and analysis using R and Python, of 10TB of COVID-19 patient data in Hadoop and SQL, leveraging Scala to remodel and visualize 16 datasets.• Engineered a data warehouse using SQL, integrating Python scripts for automated data cleaning and BI tools like Tableau for visualization, leading to a 30% improvement in report generation speed.• Orchestrated a data integrity initiative, training 15+ staff on advanced data analysis tools and techniques,

•Analyzed market trends, customer behavior, and business metrics to identify opportunities and inform strategic decisions.•Created engaging dashboards and presentations that communicated insights effectively using data visualization and reporting tools Power BI, and Google Data Studio.•Queried, cleaned, and manipulated large datasets using SQL and Excel to extract relevant information and prepare it for analysis.•Tracked and measured the effectiveness of digital marketing channels and tactics, including email campaigns, social media, and paid search.•Collaborated with stakeholders across different functions and levels of the organization to understand their needs and provide actionable recommendations based on data insights.•Conducted ad hoc analysis and prepared reports on marketing performance, market research, and competitive intelligence.•Managed and maintained data sources, ensuring data accuracy and consistency.•Participated in the development and execution of marketing strategies, using data insights to guide decision-making.•Stayed up-to-date with industry trends and developments in marketing analytics, sharing insights and best practices with the team.

•Advanced Diagnostic Testing: Conducted over 10,000 complex laboratory tests in haematology and microbiology, employing techniques in cellular biology and cell culture growth, contributing to high-stakes diagnoses and treatment plans.• Quality Control Leadership: Led a team in implementing a new quality assurance protocol for microbiology testing, reducing contamination rates by 25% and ensuring compliance with national healthcare standards.• Interdisciplinary Teamwork: Actively collaborated with clinical and research teams, providing essential laboratory data for the development of personalized patient care strategies, instrumental in improving patient outcomes by 20%.