Experience

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  Aam software

  Jul 2016 - Feb 2022

  Data analyst

  improved decision-making processes across departments.• Built and optimized SQL queries to extract and manipulate large datasets, ensuring the timely delivery of actionable insights to stakeholders.• Created visually compelling dashboards and reports using data visualization tools (e.g., Tableau, Power BI), enhancing transparency and driving stakeholder engagement.• Automated data cleaning and integration pipelines, improving data reliability and reducing preprocessing time by 25%.• Collaborated with business analysts and product managers to identify data needs, translating business challenges into tailored analytical solutions.• Performed statistical analyses to evaluate key performance metrics, contributing to a 15% improvement in operational efficiency.• Ensured the accuracy and consistency of reporting by establishing quality assurance procedures and adhering to data governance policies. Show less

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  Brunel university london

  Jan 2018 - Jan 2024

  Doctoral researcher

  • Thesis Title: Exploring the Topology of Progressive Disease Data (using R). http://bura.brunel.ac.uk/handle/2438/27704 • 4 published papers: “Building Trajectories Over Topology with TDA-PTS: An Application in Modelling Temporal Phenotypes of Disease”“Exploiting Clinical Staging Data to Constrain Pseudo-Time Modelling of Disease Progression”“Using Topological Data Analysis and Pseudo Time Series to Infer Temporal Phenotypes from Electronic Health Records”“Inferring Temporal Phenotypes with Topological Data Analysis and Pseudo Time-Series”Supervisors: Dr. A Tucker and Dr. S Swift Show less

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  Enspan innovations

  Feb 2022 - now

  Data scientist (ml engineer)

  • Spearheaded the research and deployment of a federated learning project for the supply chain sector, achieving a 30% increase in data efficiency while maintaining strict data privacy standards.• Engineered and optimised machine learning algorithms, enhancing predictive accuracy by 40% and reducing operational delays across complex supply chain models.• Collaborated with cross-functional teams and external stakeholders, accelerating project timelines by 15% and ensuring alignment with partner objectives.• Led a cross-functional team with Rolls Royce, Cambridge University, and AML to research and deploy advanced machine learning algorithms for aviation supply chain optimisation.• Designed and implemented data-driven solutions using Python, R, and SQL to preprocess, mine, and analyse big data, delivering actionable insights to stakeholders.• Documented research and development progress through technical blogs, reports, and presentations to enhance transparency and communication with partners. Show less