Learning by
working on real
problems.
Turning data into insight, and insight into decisions. I work at the intersection of analytics, finance and business — using structured thinking to understand problems and build practical solutions.
Data
Python, machine learning, statistical analysis, data transformation and visualization to uncover patterns within complex datasets.
Finance
Financial modelling, valuation, investment analysis, quantitative finance and risk analysis to connect numbers with financial decisions.
Business
Business analysis, process improvement, market analysis and strategic problem solving to turn analytical findings into action.
Where I've
learned by doing.
Dow Chemical
Worked across process analysis, data analytics and business improvement — combining stakeholder insights with structured data to identify opportunities for improvement.
VIEW EXPERIENCE →IIRS — ISRO
Analysed hyperspectral and geospatial datasets using Python, translating complex scientific data into structured insights.
VIEW EXPERIENCE →
Problems I've
tried to solve.
I like problems that sit between disciplines — where financial thinking, analytical methods and business context need to work together.
Project Prarambh
Building the financial case for a sustainability-led business, from capital requirements and revenue scenarios to investment viability.
Nobelza
Exploring market entry, demand, competition and commercialisation for a portable healthcare testing solution.
Sectoral Analysis
Comparing sectors and companies through financial ratios, risk metrics, portfolio analysis and quantitative signals.
Macroeconomic Outcomes
Examining long-term relationships between government budgets, fiscal policy, economic growth and investment flows.
Let's talk.
Whether you're looking for an analytical perspective, a business-minded problem solver, or simply want to exchange ideas, I'd be happy to connect.
Get in touch →