Samsath Azmi Mohamed Ibrahim
Greater London,Croydon
Summary
Data Analyst with strong experience in transforming complex datasets into clear, actionable insights. Proficient in SQL, Python, Excel and Power BI, with a proven ability to build dashboards, automate reporting and collaborate across teams to support data-driven decision-making. Background in healthcare analytics with a proactive, solutions-focused approach and strong stakeholder communication skills.
Overview
6
6
years of professional experience
6
6
years of post-secondary education
1
1
Certification
Work history
Data manager
Imperial College Healthcare NHS Trust
London, Paddington
2024.09 - Current
- Design, build and maintain end-to-end reporting and analytics solutions, transforming complex datasets into clear, actionable insights to support strategic and operational decision-making.
- Develop and maintain interactive dashboards (Power BI and Excel-based) that provide stakeholders with a clear view of performance, trends, KPIs and growth opportunities.
- Write and optimise advanced SQL queries to extract, join and manipulate large datasets from multiple data sources, ensuring accuracy, performance and scalability.
- Collect, clean, organise and analyse high-volume, multi-source data, applying robust data quality checks and validation frameworks to ensure reliable outputs.
- Work closely with cross-functional teams (clinical, operational, BI, commissioning and external partners) to understand requirements, define metrics and deliver tailored analytical solutions.
- Translate complex analytical findings into clear, strategic recommendations for both technical and non-technical audiences, supporting informed decision-making at senior level.
- Proactively identify opportunities to improve data capability, automate manual processes and enhance reporting efficiency, resulting in improved data accessibility and reduced turnaround times.
- Design and implement automated data workflows and reporting pipelines, reducing manual handling and increasing consistency and reliability of insights.
- Support growth and planning analysis through trend identification, performance monitoring and scenario-based reporting aligned to service expansion and demand forecasting.
- Collaborate with Business Intelligence teams to support scalable analytics.
- Act as a trusted data partner, building strong relationships across departments and serving as a key point of contact for data-led initiatives.
- Demonstrate a solutions-driven mindset, taking ownership of analytical challenges and continuously improving reporting, visualisation and insight delivery.
Medical secretary
Penny's Hill Practice
Bournemouth, Ferndown
2024.02 - 2024.08
- As a part-time medical secretary, managed and maintained high-volume, sensitive patient data across clinical and administrative systems, ensuring accuracy, consistency and compliance with data protection standards.
- Processed referrals, appointments and clinical correspondence, demonstrating strong attention to detail and data quality control.
- Used Excel and practice systems to track referrals, results and document workflows, supporting timely follow-up and operational efficiency.
- Acted as a key liaison between clinicians, patients and external providers, translating information clearly between technical and non-technical stakeholders.
- Supported reporting and administrative workflows by organising data, monitoring turnaround times and flagging discrepancies for resolution.
- Developed strong skills in process coordination, prioritisation and accuracy under pressure, working to strict deadlines in a fast-paced environment.
Secretary
Taj Paper Mart
Chennai, Tamil Nadu, India
2020.06 - 2022.12
- Maintained and organised business records, sales data and transactional documentation, ensuring accuracy and consistency across manual and digital systems.
- Used Excel to track orders, invoices, payments and supplier details, supporting day-to-day operational and financial oversight.
- Assisted in preparing basic reports and summaries to support business decision-making and stock management.
- Coordinated communication with customers and suppliers, ensuring data accuracy and timely information flow across stakeholders.
- Identified and corrected data discrepancies, contributing to improved record reliability and smoother operational processes.
- Developed strong commercial awareness, organisational skills and the ability to manage multiple tasks efficiently in a fast-paced small-business environment.
Education
Master of Science - Data Science and Artificial Intelligence
Bournemouth University
United Kingdom 2023.01 - 2024.05
Master of Science - Physics
Ethiraj College for Women, Chennai, Tamil Nadu
India 2015.06 - 2020.05
Skills
- SQL
- Python
- Power BI
- Microsoft Excel (Advanced)
- Data Visualisation
- Data Cleaning & Preparation
- Data Modelling & KPI Development
- Automation & Process Improvement
- Stakeholder Communication
- Analytical & Problem-Solving Skills
Certification
Data to Decisions, Data Analystics Course - Imperial College London, [2025]
Languages
English
Advanced
French
Beginner
Arabic
Beginner
Tamil
Native
Timeline
Data manager
Imperial College Healthcare NHS Trust
2024.09 - Current
Medical secretary
Penny's Hill Practice
2024.02 - 2024.08
Master of Science - Data Science and Artificial Intelligence
Bournemouth University
2023.01 - 2024.05
Secretary
Taj Paper Mart
2020.06 - 2022.12
Master of Science - Physics
Ethiraj College for Women, Chennai, Tamil Nadu
2015.06 - 2020.05