Audit & Financial Analysis
Mustafa Sezer Başar
Audit & Financial Analysis · Business Administration Graduate
Ankara, Türkiyemustafasezerbasar@gmail.comgithub.com/mustafa-sezer-basarlinkedin.com/in/mustafa-sezer-başar
One-page PDFProfessional Summary
Business Administration graduate of Hacettepe University (full-time, English-medium). Built the rule engine of a field audit system for an audit firm: rules are stored with their statute reference and validity period, pass a human review gate, and every audit run stays reproducible. Works on data reconciliation and reporting at a retail group; ran the cash flow, break-even and NPV/IRR analysis of the 15-person business he founded.
Highlights
- 95% reduction in operational errors
- 15-person team built from scratch
- 200% ad ROI (profit over spend)
Education
August 2022 – July 2026

Hacettepe University
BA in Business Administration
GPA 3.12/4.00 · English-medium · Graduated
September 2018 – August 2022

Middle East Technical University (METU)
Civil Engineering
English-medium · Transferred to Business Administration at Hacettepe University
Experience
June 2026 – PresentAnkara

Paulmark
Database Analyst — Business Development & Strategy
- Leads a three-person technology team, moving a Nebim V3 and Power BI retail stack off Excel-based processes.
- Automated the monthly employee-commission calculation: sales data loaded from Nebim V3 or by manual entry runs through a single computation flow. Also added a machine learning model that produces suggestions from past sales.
- Closed the gap between the teams' own Excel files and the master data; inconsistencies used to surface only once they had grown.
- Automated the Excel-based data reconciliation of the Kazakhstan operation; scheduling it is in progress.
- Builds department-level solutions on POS and accounting data; in a family company, agreeing on definitions comes before the technical work.
September 2024 – February 2025Cappadocia

Myrco Spa Center (Barceló Cappadocia)
Co-Founder / Operations Lead
- Ran the spa centre inside the Barceló Cappadocia hotel as a subcontractor; built the 15-person team from scratch.
- Managed cash flow, break-even analysis and financial projections to keep the business sustainable.
- Cut team-caused errors 95% in two months with a Spa Management app he built; error = an unauthorised entry counted on camera, or a session off the sold duration by ±5%.
April 2023 – July 2024Cappadocia

Cappadocia High Travel Agency
Sales & Marketing Lead
- Ran the allocation of the marketing budget across channels, the break-even calculation and cash-flow tracking.
- Planned and ran the digital advertising campaigns; the return on advertising investment came close to 200%.
- Moved the average Google local search rank across a Cappadocia keyword pool ('travel', 'travel agency' and similar) from 72 to 2 in three months through data-driven SEO.
Projects
Tax Audit System with Rule Extraction from Legislation
The rule engine of a field audit system built for an audit firm: an end-to-end working component that reads legislation with RAG and turns it into audit rules. The corpus is self-sourced: a collector he built pulls statutes and high-court rulings into a database, and the RAG layer works on top of it. Rules are held as JSON with their statute reference and validity period, pass a human review gate, and are then applied deterministically by a Go service. The LLM is not in the hot path — it runs offline — so every audit run stays reproducible and auditable. Taxpayer data never leaves the system: the external language model only ever sees public legislation.
- Python (LLM)
- Go
- Next.js
- MySQL
KVKK Compliance Engine
Full-stack system encrypting employee PII field by field with AES-256-GCM: a key per subject makes erasure the destruction of that key (crypto-shredding); plus role-aware masking, a hash-chained audit log and 64 adversarial tests generated from the policy table. Compliance claims come from an evidence report that fails the build when dirty.
- TypeScript
- Express
- node:sqlite
- Node crypto (AES)
Data Quality Audit & Reporting Tool
Tool that cleans messy tabular data into a multi-sheet Excel report — and, more to the point, measures the cleaner's own error rate. It generates a synthetic file with known defects and scores against ground truth, which makes two outcomes visible that cleaning tools never report: errors missed in silence, and correct cells destroyed. Against an ordinary twenty-line pandas cleaner: 10 silent errors versus 361. The measurement found three defects in the tool itself (61 correct salaries multiplied by twelve, 28 required fields silently blank, 8 malformed emails with no log entry), none of them visible in the output. A pay-gap analysis reads 3.37% on dirty data and 3.86% after cleaning, against a true 3.85%. 134 tests.
- Python
- pandas
- openpyxl
Skills
- Finance & Strategy
- Financial modeling, forecasting, ROI/NPV/IRR analysis · Break-even analysis, risk management · Portfolio optimization (Markowitz), Monte Carlo simulation
- Data Analytics & Reporting
- Data quality and reconciliation checks · Metric definition and shared dictionary (consistency across reports) · Source-to-report data flow (ingestion, transformation, publication) · Nebim V3 (retail ERP) data model · Measurement design: control group, placebo, pre-registered hypothesis
- Security & Compliance
- AES encryption, RBAC, PII masking · Audit logging, KVKK/GDPR compliance
Leadership & Communities
- Founding team member, Hacettepe Management Consulting Club (HMCC)
- Debate competitor at METU; special speaker award at the novice tournament
Languages
Turkish (Native) · English (Advanced — English-medium undergraduate education)