Financial Data Analytics
Double-entry logic, GL reconciliation, cash-flow forecasting, and executive-grade P&L narratives from raw transactional data.
I'm Suzan Sharma — a
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bridging financial accounting, Python ERP engineering, and quantitative research analytics.
Built with modern, production-grade tooling
I design data products that don't just look good — they move revenue, reduce risk, and stand up to academic peer review.
Double-entry logic, GL reconciliation, cash-flow forecasting, and executive-grade P&L narratives from raw transactional data.
Modular ERPs for accounting, payroll, inventory, and reporting — built with FastAPI, NiceGUI, PySide6, and PostgreSQL.
Executive dashboards in Streamlit, Plotly, and Power BI — semantic layers, drill-downs, and KPI storytelling that stakeholders actually use.
Survey design, GLMs, time-series forecasting, and reproducible pipelines for tourism, hospitality, and consumer behaviour research.
FastAPI microservices, WebSocket streams, and scheduled ETL jobs that quietly do the work of an analyst team.
From wireframe to deployment: interactive, mobile-friendly analytics apps with authentication, RBAC, and real-time refresh.
Real systems, real numbers. Each project below is a full case study — problem, architecture, decisions, and measurable impact.
Full double-entry accounting, payroll, procurement, and financial reporting suite deployed for a mid-sized construction firm.
Live market data pipeline with volatility, drawdown, and risk-adjusted return analytics for active portfolios.
Cap-table intelligence, dividend forecasting, and shareholder concentration analytics for private equity insight.
Survey pipelines, generalized linear models, and publication-ready visualizations for academic collaborators.
I'm actively building toward a PhD in Tourism Analytics — exploring the digital visitor economy, destination branding, and crisis resilience through predictive modelling and generalized linear models.
"I don't just write code — I use data to solve the financial risk and operational chaos that keeps founders and finance teams awake at night."
Available for remote analytics roles, ERP builds, dashboard engineering engagements, and research collaborations.