Power BI Essential Training
LinkedIn Learning
September 2022
Hi, I'm Masood Nazari
Data & BI Analyst | Healthcare & Fintech | AI & Analytics Engineering
Transforming complex data into actionable insights through automation, advanced analytics, and AI-powered solutions
Featured domains: NHS research, clinical trials, fintech analytics, fraud detection.
About Me
I'm a Business Intelligence Analyst at the University of Southampton with a focus on healthcare analytics and clinical research data. I hold an MSc in Data & Decision Analytics from the University of Southampton, awarded with Distinction, and had the honour of receiving the Presidential Scholarship for academic excellence. I specialise in transforming complex datasets into clear, actionable insights that support strategic decision-making.
My work combines technical expertise in Python, Streamlit, and data engineering with deep understanding of healthcare research operations. I've built comprehensive analytics platforms analysing portfolios worth £171.6M, developed automated dashboards that have demonstrated 122:1 ROI potential, and created tools that streamline clinical trial management across multiple sites.
I also build fintech-oriented analytics and fraud detection systems, including real-time fraud APIs and full-stack banking analytics platforms.
Whether it's integrating satellite data for biomass prediction using machine learning, building real-time clinical trial monitoring systems, or creating career development resources, I approach every project with attention to both technical excellence and practical business impact.
I'm passionate about healthcare technology, data-driven decision making, and building solutions that make researchers' and administrators' work more efficient and impactful.
Proven Results: Projects That Delivered Real ROI
Fraud Detection Dashboard API
The Challenge: Financial institutions struggle with real-time fraud
detection across millions of transactions, lacking explainable AI and predictive risk
scoring capabilities.
The Solution: Built production-ready FastAPI backend with ML monitoring,
network analysis, and explainable AI. Features 18 interactive analytics tiles, processes 5M+
transactions, fraud network graph detection, and 24-hour predictive risk scoring.
The Impact (Demonstrated): 3,700% ROI • Sub-second response times •
Real-time fraud ring detection • Money mule account identification • Comprehensive model
monitoring & drift detection.
Bank Marketing Analytics Dashboard
The Challenge: Financial institutions need data-driven insights to optimise
marketing campaign effectiveness, but lack integrated analytics platforms for pre-call
customer prioritisation and strategy optimisation.
The Solution: Built dual-interface analytics platform (Streamlit +
React/Flask) featuring 6 ML algorithms for subscription prediction, K-Means customer
segmentation, contact optimisation analysis, and economic impact assessment with premium
banking UI.
The Impact (Demonstrated): 90.5%+ ML accuracy • Pre-call customer scoring •
15-20% conversion improvement through segmentation • Optimal 1-2 contact frequency • 41,188
customer analysis • Full-stack ML platform.
🚗 InsurePrice - Car Insurance Risk Modeling
The Challenge: UK car insurers lose £1.2B annually to fraud while using
outdated 20+ year pricing models, lacking ML-powered risk prediction and real-time fraud
detection.
The Solution: Built enterprise-grade insurance platform with
CatBoost/XGBoost/Neural Network ensemble (AUC 0.65+), actuarial pricing engine, real-time
fraud detection API, SHAP explainability, and interactive Streamlit dashboard with 10+
pages.
The Impact (Demonstrated): £60M fraud savings potential • 8.4% portfolio
profit margin • AUC 0.6176 risk prediction • 17+ pricing factors • FCA/GDPR compliant •
Production-ready FastAPI • Customer Lifetime Value modeling.
NIHR Research Intelligence Dashboard
The Challenge: Healthcare research administrators spend weeks manually
analysing NIHR funding data scattered across Excel files for parliamentary reporting and
strategic decisions.
The Solution: Built comprehensive BI platform (4,492 lines) with automated
ETL, 11 research programmes analysis, 314 constituencies mapped, data quality scoring
(73.6%), and parliament-ready visualisations.
The Impact (Calculated): 122:1 ROI • £116K-£172K projected annual savings •
70% faster reporting • £171.6M portfolio intelligence • Portfolio demonstration project.
BioVision Analytics Hub
The Challenge: Forest biomass prediction required integrating complex
multi-source satellite data (NASA GEDI, ESA Sentinel-1/2) with no unified analysis
platform.
The Solution: Built end-to-end ML platform with interactive Streamlit
dashboard, 4 ensemble models (RF, LightGBM, XGBoost, SVR), automated feature engineering,
and spatial analysis.
The Impact: R² 0.89 prediction accuracy • Integrated 5 satellite data
sources • Real-time spatial hotspot detection • Automated hyperparameter tuning.
Clinical Trials Career Pathways
The Challenge: Students didn't understand clinical research career
opportunities, and new SCTU staff needed clarity on unit structure and role progression
pathways.
The Solution: Built interactive HTML/CSS career fair materials featuring 8
role categories, educational pathways (BSc→MSc→Professional), staff profiles, and detailed
day-to-day responsibilities across the clinical trials unit.
The Impact: Dual-purpose resource for student recruitment and staff
onboarding • Responsive design • Standalone embedded assets • Demystified clinical trials
careers.
Your Next Data-Driven Success Story
The Opportunity: What if your next analytics project didn't just meet
requirements, but delivered measurable ROI from day one?
The Question: How much time and revenue are you losing to manual reporting,
delayed insights, or missed fraud patterns?
The Value: I don't just build dashboards. I architect solutions that
transform how your team makes decisions. From healthcare BI platforms that save £116K+
annually to fraud detection APIs processing 5M+ transactions, every project I deliver is
designed to create measurable business impact.
What's Your Challenge? Whether it's streamlining clinical research
operations, optimising fintech analytics, or building production-ready ML systems, let's
discuss how we can turn your data into competitive advantage.
My Arsenal: Tools That Deliver Results
Programming Languages
Data Analysis
Web Development
Machine Learning
Soft Skills
Ready to Deliver
What challenge can we solve together? Let's turn your data into competitive advantage.
Start a ConversationWhat Colleagues & Mentors Say
The question isn't whether I deliver results, it's how quickly I can transform your data challenges into competitive advantages.
"Masood joined the SCTU straight out of university and has hit the ground running using his coding and data management skills to support the data processes of the CVLP team. His ability to create intuitive data reporting tools will streamline data summary and reporting for the team."
"Masood demonstrated excellent abilities in logical reasoning, mathematical modelling, academic literature review, and data analysis. His coursework showed a robust understanding of complex concepts and an aptitude for applying theoretical knowledge to practical problems."
"Only one word that comes to mind when I think of Masood, and that's AWESOME. He was a consummate professional at all times. His work ethic was impeccable, and he was always the first person to offer help and support."
Continuous Learning, Measurable Results
The question isn't whether I stay current with industry standards, it's how quickly I can apply new techniques to solve your challenges. Here's proof of my commitment to continuous improvement.
Statistics Foundations 1: The Basics
LinkedIn Learning
October 2023
Statistics Foundations 2: Probability
LinkedIn Learning
October 2023
Statistics Foundations 3: Using Data Sets
LinkedIn Learning
October 2023
Regression Analysis Fundamentals
LinkedIn Learning
October 2023
Statistics Foundations 4: Advanced Topics
LinkedIn Learning
November 2023
AI Foundations: Thinking Machines
LinkedIn Learning
November 2023
ML Foundations: Linear Algebra
LinkedIn Learning
November 2023
Cleaning Bad Data in R
LinkedIn Learning
November 2023
Deep Learning with TensorFlow
LinkedIn Learning
May 2024
Learning Amazon SageMaker
LinkedIn Learning
June 2024
SQL for Data Science
UC Davis via Coursera
November 2022
Get In Touch
I'm always interested in discussing new opportunities, projects, or collaborations in healthcare analytics and business intelligence. Whether you're looking for a BI Analyst, have questions about my work, or just want to connect, feel free to reach out.
M.Nazari@soton.ac.uk
Michaelnazary@gmail.com
+44 7938 935499
Schedule a Meeting
Southampton, UK
GitHub Profile
LinkedIn Profile
Let's Start a Conversation
Have a project in mind? I'd love to hear from you. Send me a message and I'll respond as soon as possible.