Yigit Anil — Shipping & Chartering

Shipping & Chartering Student

Studying freight markets and chartering at HSB Hochschule Bremen. Outside coursework I build Python tools — applying the same quantitative reasoning used in freight analytics to live market data.

Bremen, DE EN · TR · DE Python Freight Markets Shipbroking 2025 – 2029
About

Shipping & Chartering.

I am interested in how data, market signals, and external information can support decision-making in shipping and logistics environments.

Instead of only studying theory, I try to build small systems to understand how real-world signals translate into actionable insights.

5
Certifications
2
Projects
3
Languages
2029
Graduation
Credential Registry 2024 – 2025
Supply Chain Logistics
Rutgers University
Coursera
Oil & Gas Industry Operations
Duke University
Coursera
Creative & Critical Thinking
IBM
Coursera
Excel Skills for Business
Macquarie University
Coursera
AI Fluency
Anthropic
Verified
Yigit Anil
Skills

Skills & tools

Maritime Chartering & Logistics90%
Python & Automation82%
Supply Chain Analysis78%
Data Analysis & Excel80%
Market Research & Strategy85%
English — Professional95%
Pythonpandas ExcelPower BI CharteringShipbroking Freight MarketsGit APIsTurkish German B1
Knowledge Areas
Voyage Cost CalculationCoursework
TCE & Freight Rate AnalysisCoursework
Bunker OptimisationFoundational
Python ScriptingApplied
Data Analysis — pandas / ExcelApplied
API IntegrationWorking knowledge
Supply Chain LogisticsCoursework + cert
B2B Sales & OutreachDemonstrated
Incoterms & Trade LawCoursework
Projects

Selected work

Polymarket Signal Engine

Surfaces mispriced binary prediction markets by scoring live data across four independent signals.

  • Pulls real-time prices, volume, and close dates from the Polymarket API
  • Scores each market on volume trend, price drift, time decay, and spread width
  • Outputs a ranked list with position sizes calculated via Kelly criterion
→ Shows how structured signal analysis can surface decisions that raw data alone doesn't make obvious.

Multi-Signal Trading Monitor

Identifies technical alignment across multiple assets before triggering any action — built to study how indicators behave together, not in isolation.

  • Tracks hourly candlestick data for three crypto pairs via Binance Testnet API
  • Requires RSI, Bollinger Bands, MACD, and volume to align before signalling
  • Logs each decision with entry price, signal reason, and running outcome
→ The insight was about convergence: single indicators are noise. Agreement between them is signal.
Experience

Work & education

Work Experience
Education
2025 — 2029
B.Sc. Shipping & Chartering
HSB Hochschule Bremen
Freight markets, chartering, shipbroking, international logistics.
2024 — Present
Certifications
Rutgers · Duke · IBM · Macquarie · Anthropic
Supply chain, oil & gas, analytical thinking, Excel, AI fundamentals.
Ongoing
Power BI & Data Visualisation
Self-Study
Freight market dashboards and supply chain KPIs.
Focus

What I think about

Shipping & Chartering

Freight markets, voyage economics, chartering structures, and how cargo moves through global supply chains.

Market-Driven Decision Making

How external signals — price movements, volume changes, timing — can inform better decisions under uncertainty.

Data & Signal Analysis

Building small systems that turn raw data into structured output. Less about automation, more about understanding what the numbers are saying.

Contact

Let's
talk

Shipping & Chartering student at HSB Bremen. Open to conversations about maritime logistics, freight analytics, and industry opportunities. Based in Bremen — happy to connect.

yigit.anil.de@gmail.com linkedin.com/in/yigit-anil
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