Hi! I'm Alp,

Skills

Languages & Frameworks/Tools

Python Python
Matlab Matlab
SQL SQL
Machine Learning Machine Learning
Deep Learning Deep Learning
Computer Vision Computer Vision
HTML HTML/CSS
Docker Docker
AWS AWS
Git Git

Diabetes Prediction with Flask and AWS

Diabetes Prediction with Flask and AWS

Predicts diabetes using the Pima Indians dataset. Built with Flask, Docker and deployed on AWS.

MNIST Digit Recognizer

MNIST Digit Recognizer

CNN-based digit classifier trained on the MNIST dataset using Keras and TensorFlow.

Music Recommendation System

Music Recommendation System

A personalized system that recommends songs based on user preferences.

Mask Detection

Mask Detection

Object detection with SSD MobileNet V2 to classify masked and unmasked faces.

Disaster Tweet Classification

Disaster Tweet Classification

Deep learning-based NLP model to classify tweets related to real disasters.

LLM-Based RAG Chatbot

LLM-Based RAG Chatbot

Retrieval-Augmented Generation system using LLaMA-7B to answer queries from PDF documents.

Hotel Reservation System

Hotel Reservation System

Java-based backend system with PostgreSQL for managing hotel reservations and user profiles.

Spaceship Titanic Kaggle Competition

Spaceship Titanic Kaggle Competition

Predicting passenger survival on a fictitious intergalactic cruise using various machine learning models.

Education History

2022 - 2024

Master of Science in Computer Engineering

Ege University

Izmir, Turkey

  • I completed a deep learning research study for my thesis that detects diseases in medical images. I used MATLAB during my study.
  • I created a machine learning application that recommends music based on the user's choices. I used Python and scikit-learn, pandas, NumPy libraries during this project.
  • I developed a deep learning application that detects people’s faces and people wearing masks and those who do not. I used Python and TensorFlow, pandas, NumPy libraries during this project.
2016 - 2021

Bachelor of Science in Electrical and Electronics Engineering

Izmir Katip Celebi University

Izmir, Turkey

  • For my graduation project, I carried out a deep learning study that successfully detected and classified cracks even though marbles had patterned and complex surfaces. I used MATLAB at this project. With this work, I won a TUBITAK 2209-B Industry Oriented Research Project Support scholarship. I also made it to the finals of the TUBITAK 2242 competition.
  • I actively participated in many communities during my education.

Work Experience

December, 2023 - February, 2024

Data Analyst Intern

Tüpraş

Istanbul, Turkey

Time Series Forecasting Project

Project Involvement: Developed an ensemble machine learning model for time series forecasting.Tools and Technologies: Utilized Python, scikit-learn, pandas, and NumPy libraries.

Key Responsibilities:

  • Conducted feature engineering and feature selection.
  • Built and refined machine learning models.
  • Tuned model parameters to enhance performance.

Skills Gained: Gained proficiency in the end-to-end data analysis and model development process within real-world applications.

July, 2021 - September, 2021

Research & Development Software Engineer, Intern

AdresGezgini

Izmir, Turkey

Audio Classification and Dataset Development

Dataset Development: Actively contributed to the creation and annotation of a comprehensive sound dataset.

Audio Classification: Applied deep learning techniques for audio classification tasks.

Tools and Technologies: Used Python, scikit-learn, TensorFlow, pandas, and NumPy libraries.

Key Responsibilities:

  • Demonstrated expertise in dataset creation
  • Audio classification using deep learning techniques.
  • Collaborated with team members to document and share knowledge through Medium blog posts.

Skills Gained: Enhanced skills in deep learning for audio classification and in effectively communicating technical knowledge.