Misan
Data Analyst with 4+ years of commercial experience in data analytics, cloud technologies, and automation, holding a master’s degree in Data Science from Technological University Dublin.
Skilled in Python, SQL, R, Tableau, Power BI, and Advanced Statistical Modeling.
Featured Projects in Data Analytics and Insights
Transforming Emergency Services with Data Insights
Optimising fire and ambulance operations through actionable insights
This project analysed over a decade’s worth of fire and ambulance operational data (2012–2023) from Dublin City Council. By cleaning, consolidating, and visualising the data, it uncovered key trends, bottlenecks, and opportunities to enhance public safety. An interactive Tableau dashboard enables stakeholders to explore response times, station workloads, and callout trends in detail.
- Find Out:
- How one fire station managed 23,396 callouts, highlighting the importance of resource optimisation in high-demand areas.
- Insights from the longest response time logged, which took 9 hours, 24 minutes, and 43 seconds for a remote fire gorse incident, offering opportunities to investigate and improve operational workflows.
- How seasonal events, like the Dublin Theatre Festival, influenced emergency callout peaks.
My Revolut: Unveiling Spending Habits with Data
Understanding financial patterns and optimizing personal budgeting
This project leveraged data analysis to gain insights into my spending habits and financial patterns using my Revolut account transaction data from March 2020 to December 2024. Power BI was used to transform raw data into a structured data model and create interactive visualizations to explore key metrics.
- Find Out:
- How my spending habits have evolved.
- What drives my weekend spending sprees.
- The story my money tells about my lifestyle.
The Numbers Behind Layoffs: An HR Attrition Analysis
Understanding workforce trends and optimizing HR strategies
This project analyzed employee attrition data at OrigoMigo Inc. to uncover patterns in layoffs and optimize HR decision-making. Using R for statistical analysis and visualization, the analysis explored factors influencing attrition, potential biases, and actionable insights for improving retention and equity.
- Find Out:
- How age and tenure impact the likelihood of being laid off.
- Whether biases exist in the layoff process.
- How predictive modeling can guide equitable compensation and retention strategies.
Focused Analysis of HbA1c Measures and Readmissions for Patients Discharged to Home
Optimizing diabetes management and reducing readmissions through data-driven insights
This project analyzed 60,234 inpatient encounters of patients discharged to home to identify key trends in diabetes management and hospital readmissions. Using SQL and Tableau, the analysis explored gaps in HbA1c testing, demographic predictors of readmissions, and the relationship between testing and outcomes. The findings were visualized in an interactive dashboard, enabling actionable insights for healthcare providers.
- Find Out:
- How gaps in HbA1c testing influence readmission rates.
- Which demographic groups face the highest readmission risks.
- The actionable steps to improve testing protocols and patient outcomes.
Global Impact: Analysing World Bank Loan Performance with Data
Uncovering trends, inefficiencies, and strategies in development loans
Using a dataset of 1.3M+ rows, I analysed global loan disbursements, repayments, and cancellations to extract actionable insights for improving repayment rates and unlocking funds for impactful projects.
- Find Out:
- Why repayment rates differ across regions like Africa and Latin America.
- How delays in disbursement impact project success.
Data-Driven Education: Tableau Dashboard on Massachusetts Public Schools
Exploring performance and accountability in 4th-grade MCAS results
This Tableau dashboard dives into public school performance data, revealing systemic inequities and the challenges faced by schools with high-needs populations.
- Find Out:
- Which schools excel despite challenges.
- How accountability levels correlate with performance.
Follow the Money: How iFood Discovers Its Goldmine of Customers
Uncovering top-performing customers for revenue optimisation
Using Excel, pivot tables, scatterplots, and regression analysis, I segmented customers to identify high-value groups driving 20% of iFood’s revenue.
- Find Out:
- Who spends the most, and how it shapes iFood’s strategy.
- The age and income groups driving growth.
Coming Soon: Machine Learning & Data Science Projects
Stay tuned for upcoming projects, including:
- Predictive Modelling: Forecasting loan repayment rates using machine learning.
- NLP Applications: Analysing sentiment in global development project reports.
- Geospatial Analysis: Mapping development loan impacts using Geopandas.
