WELCOME TO MY STORY

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HEY! I'M ALI CAN

ABOUT ME

I am a software engineer passionate about building intelligent systems that solve real-world problems. My journey began in 2018 with a strong background in mathematics and computer science, and has since evolved into a deep dedication to artificial intelligence, data engineering, and algorithmic finance. While completing my undergraduate studies at Istanbul Kültür University, I authored a research paper on deep learning-based stock price prediction, which was accepted and presented at an IEEE conference — a significant milestone in my early academic career.
I believe technology should serve society — this belief drives my commitment to developing AI-driven solutions that are scalable, ethical, and sustainable. I am currently pursuing a master's degree in Data Science at the University of Europe for Applied Sciences in Germany, while continuously expanding my skill set through AI-powered tools and scalable system design. My goal is to contribute to research and development that transforms industries while remaining grounded in practical, real-world applications.

Publications

Hybrid Deep Learning Framework for Stock Price Prediction Incorporating Technical and Macroeconomic Indicators

Published in 2024 9th International Conference on Computer Science and Engineering (UBMK) | IEEE

Ali Can Turan, Vael Kokach, Büşra Kocaçınar, Öznur Şengel, Fatma Patlar Akbulut

The study suggests a hybrid deep learning model for stock market prediction by integrating Bidirectional Long Short-Term Memory (LSTM) networks with Convolutional Neural Networks (CNNs). Incorporating both technical and macroeconomic variables, the model identifies complex trends and interconnections in financial data. Experimental findings demonstrate that the proposed model outperforms conventional approaches, providing traders and investors with new perspectives.


View on IEEE Xplore

Technologies

Python Python
C++ C++
HTML HTML
CSS CSS
SQL MySQL
TensorFlow TensorFlow
Pandas Pandas
Keras Keras

Projects

Project 1

AI Stock Prediction System

Python TensorFlow Keras Pandas Deep Learning

Designed a CNN-BiLSTM hybrid model that integrates technical and macroeconomic indicators for stock price prediction. Published at IEEE UBMK 2024. Outperformed conventional models in short-term forecasting scenarios.

See Details
L O A D I N G

Emotion Classification from Image using Deep Learning

Python NLP LSTM RAVDESS, TESS, CREMA-D

Still Working On It

Coming Soon

Trading Bot – In Progress

Currently developing an AI-powered trading bot with live data feed integration.

Future Project

Stay tuned for a new project soon to be added here!