
Data Analyst and Business Intelligence professional with expertise in analysing complex datasets and building interactive dashboards using Power BI, Tableau, SQL, and Python. Demonstrated ability to uncover trends, optimise performance, and support decision-making through freelance projects. Skilled in SQL database analysis, Python for statistical testing, and data visualisation. Proven track record in behavioural and customer insight analysis, market trend analysis, and problem-solving. Strong communication skills honed through stakeholder reporting and teamwork experience in retail environments.
Vendor Performance & Inventory Profitability Analysis
Analysed vendor efficiency, freight costs, and inventory turnover, identifying high‑margin brands and $2.71M in unsold stock to support cost‑saving decisions.
Taxi Revenue Optimization (NYC Taxi Dataset)
Used EDA and hypothesis testing to compare cash vs card fares, showing card trips generate higher revenue and guiding strategies to increase driver earnings.
Airline Occupancy & Revenue Optimization
Modelled booking trends and occupancy rates, demonstrating that a 10% occupancy increase significantly boosts revenue and informing pricing/capacity planning
Restaurant Success Analysis (Yelp Dataset)
Analysed 35k+ restaurants to uncover engagement patterns, peak hours, and elite‑user influence, helping improve visibility and customer retention strategies.
Data Analysis and Business Intelligence: Skilled in analysing complex datasets and building dashboards through freelance BI projects, where I used Power BI, Tableau, SQL, and Python to uncover trends, optimise performance, and support decision‑making
SQL & Database Analysis: Gained hands‑on SQL experience restoring databases, running queries, and analysing student performance and vendor data, enabling deeper backend insight generation
Python for Analysis & Statistical Testing: Applied Python (Pandas, statistical tests, regression) in projects such as Taxi Revenue Analysis and Vendor Profitability to validate hypotheses and model behavioural patterns
Data Visualisation & Insight Storytelling: Built clear, interactive dashboards and visual reports across multiple freelance projects, presenting insights in a way that supported non‑technical stakeholders and improved decision‑making
Behavioural & Customer Insight Analysis: Strengthened by both Psychology and retail experience, enabling me to interpret user behaviour, engagement patterns, and decision‑making in projects like Yelp Restaurant Success and Market Intelligence dashboards
Market & Trend Analysis: Developed through analysing Coursera, Udemy, Edex (under Alexander Maclean), airline bookings, and retail sales trends, identifying opportunities, risks, and strategic insights
Problem‑Solving & Critical Thinking: Refined through end‑to‑end freelance projects where I identified inefficiencies (eg, $271M unsold inventory, vendor dependency risks) and proposed data‑driven solutions
Communication and Stakeholder Reporting: Strengthened through presenting BI insights, writing clear reports and research at the university, and delivering customer‑focused communication in retail and academic research settings
Teamwork & Customer Service: Built through one year of retail experience, where I collaborated with teams, supported customers, and maintained high service standards in a fast‑paced environment