KBD

Available for internships & new grad roles

I'm Baran Dursun.
I turn data into

McGill University — BA in Computer Science & Economics (Dec 2026). FMVA. Focused on data analytics, data science, and tech consulting.

Kemal Baran Dursun
Open to work

About me

Turning data into decisions

I'm based in Montreal, studying Computer Science & Economics at McGill. I care about rigorous analysis, clean data pipelines, and models that drive real decisions.

My coursework spans Econometrics, Probability, Data Structures, Financial Instruments & Institutions, and Economic Statistics. I've interned in invoicing & collections at Duronm Textile and IT operations at Advanced Information Modeling, focusing on reporting, process improvement, and data accuracy.

I'm fluent in English and Turkish, with intermediate French. Active in the McGill Consulting Association and the Economics Student Association.

Let's talk →

Skills & tools

Python Pandas NumPy SQL PostgreSQL Excel Power BI Statistical Analysis React Node.js Data Pipelines Microsoft Office
FMVA — Financial Modeling & Valuation Analyst

Career

Experience

Invoicing and Collections Intern

Duronm Textile Company

Jun – Aug 2023

Izmir, Turkey

  • Analyzed 200+ accounts receivable transactions to identify payment trends, delays, and cash-flow risk exposure.
  • Built weekly Excel reports tracking overdue balances, collection performance, and working capital indicators for management review.
  • Supported reconciliation of invoicing and payment records, improving data accuracy and reporting reliability.
  • Flagged high-risk accounts and payment anomalies for follow-up, supporting improved collection prioritization.
ExcelData AnalysisReportingFinance

Summer IT Intern

Advanced Information Modeling Inc

Jun – Aug 2024

St. Petersburg, FL (Remote)

  • Supported internal IT operations by monitoring system availability, performance logs, and operational metrics.
  • Analyzed internal workflows and documented recurring technical issues, contributing to process improvement recommendations.
  • Assisted with technology-enabled process improvements by updating internal documentation and supporting standard operating procedures.
IT OperationsDocumentationProcess Improvement

Portfolio

Selected projects

All repos on GitHub →

01 App Store

FragMance — Mobile Fragrance Platform

Fragrance discovery and collection app, live on the App Store. Scan any bottle via a 4-stage barcode pipeline, build your digital wardrobe, log your Scent of the Day, and follow friends. 70,000+ fragrances with full note breakdowns, social feed, streak tracking, and B2B analytics endpoints sold to fragrance houses.

React NativeNode.jsTypeScriptPostgreSQLExpo
02 Live

EconSight — Canadian Economic Intelligence Platform

Ingests 9 macro indicators from Statistics Canada and the Bank of Canada into a PostgreSQL medallion warehouse, runs VAR/XGBoost forecasting with Monte Carlo scenario bands, and serves results through a FastAPI + React dashboard with a composite health score, natural language Q&A (RAG), and one-click PDF report generation.

PythonFastAPIXGBoostPostgreSQLReactRAG
03 Live

Personalized Newspaper — AI-Curated Daily Broadsheet

A personal front page, rebuilt on a schedule. Polls Finnhub, RSS feeds, and Hacker News, scores every article for relevance and clickbait with Claude, and renders a dense three-column broadsheet from Postgres — deployed as a single service on Railway.

Next.jsTypeScriptPostgreSQLDrizzleClaude APITailwind
04 Live

AI-Powered Financial Risk & Anomaly Detector (AuditAP)

Automated Accounts Payable monitoring to detect duplicate invoices, vendor price creeping, and zombie subscriptions. QuickBooks integration, 90-day rolling baselines, anomaly flagging with LLMs.

PythonSQLPostgreSQLLLMs
05

Quantitative Portfolio Optimization & Risk Engine

Stochastic portfolio optimization using Modern Portfolio Theory and 10,000+ Monte Carlo simulations. Multivariate return simulation via Cholesky decomposition; Parametric VaR and Expected Shortfall (95% & 99%).

PythonPandasNumPyMatplotlib
06

Global Layoffs — Data Cleaning & Exploratory Analysis

End-to-end data pipeline cleaning and analyzing a real-world layoffs dataset covering major workforce reductions from 2020 to 2023. Quality checks and exploratory analysis to surface trends.

SQLData CleaningEDA
07

Expense Tracker App

Personal finance app for tracking expenses, categorizing spending, and managing budgets with a clean CLI interface and data persistence.

PythonFinanceCLI

More on GitHub →

Contact

Let's connect

Interested in working together or just want to say hi? I'm happy to hear from you.