Hi, I am

Yasin Bankoglu

Computer Engineer | M.Eng Student in Applied AI for Digital Production Management

Computer Engineer focused on data analysis, e-commerce analytics, and applied AI. Currently pursuing a Master of Engineering in Applied AI for Digital Production Management at TH DIT (Cham, Germany). My expertise spans Python, SQL, and machine learning. Previously worked at Amazon and Vodafone.

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About Me

I am a Computer Engineer currently pursuing a Master of Engineering in Applied AI for Digital Production Management at Deggendorf Institute of Technology (THD) in Cham, Germany.

My professional background spans e-commerce analytics, marketing strategy, and data-driven decision-making, with experience at WYESS, Amazon, Vodafone, and AIESEC. I apply Python, SQL, and machine learning to transform complex data into actionable business insights.

Interests: Travelling, Theatre, Cultural Trips, Swimming, and Gaming.

Skills & Expertise

Python (Computer Programming, Data Science, Automation)
Java (Computer Programming)
SQL & Database Management Systems
Microsoft Office
Machine Learning
Data Visualisation Software (Tableau, Power BI)
Retail & E-Commerce Operations
Marketing & Sales Analytics (Customer Segmentation, ROI)
Performance Marketing (Google Ads, Meta Ads)
Languages: Turkish (Native), English (C1), German (A1)

Work Experience

E-Commerce and Marketing Specialist

Jul 2025 – Dec 2025

Analyzed sales funnel data and customer behavior patterns to identify key drivers for conversion and optimize marketing strategies.
Developed and automated performance reports for sales and marketing campaigns by querying databases with SQL and using Python for data processing and visualization.
Monitored and maintained integrity of e-commerce data infrastructure (product databases, website performance metrics) to ensure accurate analysis.
Analyzed digital marketing performance metrics (CTR, conversion rates, ROI) to provide data-driven recommendations for campaign optimization and budget allocation.
Applied statistical analysis to sales data to support inventory forecasting and pricing strategy decisions.

Retail Vendor Manager Intern

Jul 2024 – Jul 2025

Conducted market and competitor analysis to generate shopper insights and support data-driven trade marketing strategies for vendor partners.
Identified high-potential products by analyzing market demand and sales trends, contributing to channel-specific promotional planning and business strategy improvement.
Leveraged digital tools and performance data to optimize sales visibility, enhance promotional effectiveness, and support strategic marketing actions.
Translated complex sales trends and market demand signals into clear business recommendations for vendor partners.

SOHO Intern

Mar 2024 – Jul 2024

Monitored and analyzed operational KPIs to identify improvement areas within the SOHO segment.
Developed data-driven strategies to enhance service quality and optimize sales-related channel alignment.
Produced actionable reports from raw operational data to support strategic decision-making.

Team Member of Incoming Global Volunteer Sales

Sep 2023 – Jan 2024

Supported B2B partnerships and used Podio to assist data-driven sales decisions aligned with global volunteer goals.

Google Developer Students Club Core Team Member

Oct 2023 – Jun 2024

Organized workshops and projects to support peer learning and improve student coding skills in a tech-driven community.

Education

Master of Engineering in Applied AI for Digital Production Management

Deggendorf Institute of Technology (TH DIT)

Mar 2026 – July 2027

Technologiecampus Cham, Cham, Germany

Bachelor of Science in Computer Engineering

Maltepe University

Oct 2020 – Jul 2025

Faculty of Engineering and Natural Sciences, Istanbul, Turkey

Projects

E-Commerce Performance Dashboard

SQL Python Power BI

Consolidated key e-commerce KPIs into a single interactive dashboard
Tracked revenue, conversion rates, and traffic sources across multiple channels
Designed dynamic filters for date range, product category, and region
Enabled real-time monitoring for data-driven decision-making

Campaign Segmentation Analysis

Python Excel Data Visualisation

Segmented customer audiences based on behavioral and transactional patterns
Applied clustering techniques to identify high-value customer groups
Created audience profiles to support personalized marketing outreach
Visualized segment distributions and engagement trends

Automated Weekly Reporting Pipeline

SQL Python Automation

Built scheduled scripts to pull data from multiple sources automatically
Cleaned, aggregated, and transformed raw data into structured reports
Delivered formatted reports to stakeholders via email on a weekly basis
Reduced manual reporting effort and improved data accuracy

Product & Competitor Tracking Toolkit

Python DBMS Excel

Developed a monitoring toolkit for product positioning across marketplaces
Tracked competitor pricing, stock availability, and listing changes
Generated alerts on significant price shifts to support pricing strategy
Stored historical data for trend analysis and strategic planning

Certificates

DATACAMP - Python Programming

Specialized training in Data Analysis and Programming with Python.

DATACAMP - Power BI & Data Science

Data science processes and visualization with Power BI.

KOSGEB Entrepreneurship Certificate

Completed the entrepreneurship training program.

Contact

My inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!

Mail Me

🎉 Welcome! 🎉