Ayhan Dis - Udemy Instructor Profile

Summary

Hello, I am Ayhan Dis. I am passionate about creating data-driven solutions by adapting new and sophisticated ways of working. With extensive experience in credit risk management, data science, and machine learning, I have led numerous projects and provided training for various banks, financial institutions, telco companies, e-commerce companies across Turkey, Europe and USA. As an instructor, I have taught courses at the master's level and conducted training sessions for professionals in retail, e-commerce, banking, and financial sectors. My goal is to share my expertise and help you excel in the field of credit risk management and data science.

Education

Master’s Degree, Big Data and Business Analytics
Istanbul Technical University
09.2017 – 07.2018

Bachelor’s Degree, Economics
Yildiz Technical University
09.2013 – 06.2017

Experience

Freelance Quant Team Lead
Tradeland AI – Hong Kong, China
01.2024 – Present

+Innovated with neural networks, n-hits, and transformers to enhance predictive accuracy.

+Developed sophisticated ensembling structures for optimal trade decisions.

+Engineered clustering models for market regime identification.

+Introduced neural network-based asset relation modeling, significantly boosting profits.

+Developed APIs and microservices with SQL and Python for real-time execution.

+Focused on creating hedged trading strategies, implementing image processing for candlestick pattern recognition, and developing a Twitter module for improved NLP.

Freelance Senior Model Validator
De Volksbank – Utrecht, Netherlands
07.2023 – 12.2023

+Developed and implemented a comprehensive framework for the validation of macroeconomic projections.

+Designed and executed a robust framework for validating Reference Data Sets.

+Conducted the validation of the Significant Increase in Credit Risk (SICR) process, predictive models, and ECL implementation processes.

+Conducted stakeholder meetings to secure buy-in from model development and RDS teams.

Freelance Senior Data Scientist
Santander – Utrecht, Netherlands
04.2023 – 06.2023

+Developed an algorithm to convert and optimize inefficient SAS code to Python.

+Created a cutting-edge machine learning model for optimizing call center debt collection strategies.

Senior Risk Consultant
Deloitte – Amsterdam, Netherlands
11.2022 – 03.2023

+Developed IRB data pipelines for a Finnish bank.

+Proposed an advanced automated machine learning/deep learning framework inspired by the European Central Bank's guidelines.

Freelance Senior Risk Analyst
Tinka – Zwolle, Netherlands
05.2022 – 10.2022

+Developed a robust model monitoring structure for behavioral and application scorecards.

+Executed the conversion of SAS scripts into Databricks notebooks and Tableau dashboards.

+Engineered a machine learning model using FBProphet to predict future write-offs and problematic loans.

Senior Data Scientist
Metyis – Amsterdam, Netherlands
09.2020 – 04.2022

+Developed benchmark demand forecasting models for a global fashion company.

+Created advanced models on AWS Forecast for a major global catering company.

+Crafted a cutting-edge Covid-19 solution for a major global beer manufacturer.

Credit Risk Modeler
ING – Amsterdam, Netherlands
11.2019 – 08.2020

+Contributed significantly to IRB LGD modeling for the Netherlands SME portfolio.

Senior Data Scientist
EY – Istanbul, Turkey
09.2019 – 10.2019

+Developed dealer fraud prevention models with over 90% accuracy.

+Prepared ML/AI use cases for a French bank’s Turkish arm.

+Engineered customer churn models for an insurance company.

Senior Risk Consultant
EY – Istanbul, Turkey
07.2017 – 10.2019

+Developed corporate and retail device risk scorecards.

+Led IFRS 9 model development and validation for various sectors.

+Developed credit risk scorecards using a machine learning framework in Python.

Data Scientist
IDS Consulting
01.2016 – 01.2017

Visiting Lecturer

Istanbul Technical University
05.2019 – 10.2019

+As a Visiting Lecturer at the Big Data and Business Analytics Master Program, I curated and presented course content on Risk Analytics.

+Delved into the impact of macroeconomic models on credit risk and conducted a comparative analysis of classical and ML/DL-based credit risk approaches.

+Demonstrated applications in AWS, Python, and R environments using real financial data.

+With a strong foundation in both theoretical knowledge and practical application, I am excited to share my expertise and insights with you via comprehensive courses on Udemy.