MSc Economics graduate who likes asking better questions before finding better answers. My work sits at the intersection of data, research, business, and problem-solving, where I turn complex information into insights that are easier to understand and act on. I enjoy exploring unfamiliar problems, finding patterns others might miss, and using analytical and digital tools to turn ideas into practical solutions.
I bring a combination of structured thinking, commercial curiosity, and hands-on problem-solving. I'm comfortable taking an ambiguous problem, figuring out what matters, and building a clear path from question to outcome. My toolkit includes Python, SQL, Excel, Power BI, statistical analysis, forecasting, data visualization, and GenAI tools, which I use to explore problems, test ideas, organize information, and communicate findings clearly.
What sets me apart is my ability to connect the technical with the practical. I can work through the details without losing sight of the bigger business picture, learn unfamiliar tools quickly, and adapt across research, business, operations, and analytical projects. I bring curiosity, ownership, and a willingness to go beyond the obvious, with a focus on producing work that is not just technically sound, but genuinely useful.
"To approach every problem with curiosity, challenge assumptions with evidence, and turn insights into solutions that create real value."
"To become a versatile problem-solver who can move across data, business, research, and emerging technology, bringing clarity to complexity and ideas to life."
Built an end-to-end marketplace analytics solution using Excel, SQL, Python, and Power BI to analyze 279,712 listings, 182,024 hosts, and 5.37M+ reviews across 10 global cities, translating marketplace data into pricing, growth, host performance, and operational decisions.
Built an end-to-end healthcare analytics case study combining Power BI, SQL, Python, and Excel to move beyond dashboard reporting into statistical validation, predictive analysis, forecasting, and operational decision support.
Built an end-to-end analytics pipeline to uncover the operational factors affecting delivery performance and turn them into decisions around service quality, hub capacity, workforce allocation, and fleet maintenance.
End-to-end banking analytics project involving Excel, SQL, Python, and Power BI. Focused on lending portfolio analysis, credit risk assessment, KPI reporting, and business intelligence dashboard development.
Retail sales analytics project involving Python, Pandas, NumPy, Matplotlib, and Seaborn. Focused on exploratory data analysis, sales performance evaluation, outlet segmentation, product category analysis, and business intelligence reporting.
Click any certificate to view it in full. 11 certifications earned across data analytics, Python, SQL, Power BI, and generative AI.
I'm actively seeking opportunities in Data Analytics and Business Intelligence. Whether you have a role, a project, or just want to talk data — I'd love to hear from you.