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Data Analyst with less than a year in end-to-end analytics solutions.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Science graduate with hands-on experience delivering end-to-end analytics solutions across healthcare, retail, and e-commerce domains. Proficient in Python, SQL, Power BI, DAX, and Excel. Demonstrated ability to engineer features from large-scale datasets, build RFM segmentation models, and develop interactive dashboards that drive business decisions. Seeking a data analyst or business analyst role where I can contribute immediately and grow rapidly.
Unknown
Bachelor of Science · Data Science
August 1, 2022 – June 30, 2025
Hospital Patient Churn Analysis
January 1, 2025 – Present
Engineered 15+ patient-level features from 50,000 hospital admissions in PostgreSQL; built an RFM scoring model in Excel to segment 7,000+ patients by churn risk, enabling targeted re-engagement. Developed an interactive Power BI dashboard with DAX measures and risk-based conditional formatting, surfacing Critical and High-Risk patient cohorts for the clinical operations team.
ShopSmart Sales Performance Dashboard
January 1, 2025 – Present
Designed an end-to-end retail BI solution ingesting 10,000+ transactional records in PostgreSQL; wrote 11 optimised SQL queries covering regional performance, product profitability, discount impact, and RFM customer segmentation. Built an interactive 5-page Power BI dashboard with 30+ DAX measures, including YoY growth, time-intelligence calculations, and a What-If revenue simulator to support real-time leadership decision-making.
E-Commerce Behaviour Analysis Case Study
January 1, 2025 – Present
Analysed 42M+ rows of real e-commerce data to answer 12 business questions on user behaviour, revenue trends, and customer segmentation using advanced SQL — CTES, Window Functions, and date aggregations. Derived insights on purchase conversion rates, top-performing brands, repeat-buyer segmentation, and 7-day rolling revenue trends through optimised queries on a single large-scale production dataset.
Airbnb Dublin Market Analysis
January 1, 2025 – Present
Analysed 30,000+ real Airbnb search and inquiry records to identify demand-supply gaps across room types, stay duration, and seasonality using exploratory data analysis and visualisation. Built a guest-host conversion funnel that revealed a 46% acceptance bottleneck; surfaced underserved segments (single-night stays, summer medium-length bookings) to inform host acquisition strategy.
Danny's Diner Customer Analysis (8 Week SQL Challenge)
January 1, 2025 – Present
Analysed sales, menu, and membership data in PostgreSQL to uncover spending patterns, visit frequency, menu preferences, and loyalty program insights via 10 targeted SQL queries using joins, aggregations, window functions, and CTES.
Cultural Fit Analysis
The candidate's portfolio demonstrates a strong interest in data analysis and business intelligence, aligning well with a Data Analyst role. The diversity of projects (healthcare, retail, e-commerce, hospitality) indicates adaptability and a broad interest in applying data skills across different industries. The focus on personal projects suggests self-motivation and initiative, which are positive indicators for cultural fit in a proactive team environment. However, the lack of professional experience might indicate a need for mentorship and guidance in a corporate setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-driven approach and an ability to translate data into business insights, which suggests good problem-solving and analytical thinking. The focus on end-to-end solutions implies a structured approach to data projects. However, without direct assessment data, specific soft skills like teamwork, communication, or stress handling cannot be definitively evaluated.