
Lesley L. Shiri
Financial precision with analytical imagination. Built for insight, execution, and measurable impact.
MBA · MCom · BCom · National Diploma. Four qualifications, six professional roles, 8+ years transforming financial complexity into decisions that drive performance, strengthen controls, and grow revenue.
I'm a Business and Finance Analyst with 8+ years of accounting and finance experience across six professional roles — spanning payroll, accounting, finance analysis, revenue analytics, operations, and business analysis. I transform complex numbers into clear reporting, actionable insights, and measurable business outcomes.
My academic foundation spans a National Diploma in Accounting (Masvingo Polytechnic, Zimbabwe), a BCom Honours in Accounting and Master of Commerce (Midlands State University, Zimbabwe), and an MBA in Business Analytics at Clarkson University, New York.
I combine deep accounting rigour with modern machine learning — from predicting diabetes outcomes in 100,000 patient records to building payroll audit pipelines that catch what others miss. Four qualifications, six roles, one mission.

Financial precision with analytical imagination. Built for insight, execution, and measurable impact.
Business strategy, data-driven decision-making, ML pipelines, and analytics leadership — the capstone unifying every prior qualification.
Advanced accounting theory, financial research methodology, and commerce economics — the depth to challenge assumptions.
Financial accounting, auditing, taxation, management accounting — the complete commercial framework of modern business.
Financial statements, cost accounting, and business law — where the journey began and the discipline was forged.
Binary classification across 100,000 patient records (Alabama & Wyoming, 2015–2018). Six models evaluated — Random Forest achieved F1 of 0.72. HbA1c (0.49) and blood glucose (0.40) were the dominant predictors.
Python audit pipeline detecting 5 anomaly types across 120 employees. Flagged $130K+ in irregular payroll. Built on 8+ years processing 500+ employees in Oracle HCM.
Real-time KPI dashboards tracking $50M+ in revenue. Automated weekly-to-24h reporting. 94% accurate 6-month forecasting. $2M+ leakage identified.
Full star-schema data warehouse — fact tables, dimension tables, grain, and surrogate keys. Enables clean, self-service BI reporting for non-technical stakeholders.
ML pipeline flagging 5 fraud patterns across 1,240 expense claims. Identifies duplicates, split invoices, vendor mismatches, and timing anomalies — reducing false approvals by 62%.
3, 6, and 12-month cash flow forecast with best/base/worst scenario planning. Integrates AR, AP, and payroll cycles. 91% accuracy across 18-month back-test window.
Logistic regression + gradient boosting model scoring 3,500 accounts across 4 risk tiers. Default probability scores visualised in a live Power BI dashboard for credit team decisions.
Automated monthly variance analysis app that generates plain-language narratives explaining what changed, why, and the projected impact — cutting manual commentary time by 70%.
Analyzed payroll, overtime, absenteeism, and productivity data across 380 employees. Identified $85K in addressable cost and produced staffing recommendations adopted by HR leadership.
Root-cause drill-down across 4 leakage categories — billing errors, unapproved discounts, write-offs, and collection gaps. Identified and recovered $1.8M using SQL pipelines and Tableau dashboards.
Open to data analyst, finance analyst, business analyst, revenue analytics, and healthcare analytics roles. MBA · MCom · BCom · N.Dip · Six roles · 8+ years — ready to deploy.