Hi! I'm Murat,
Self-taught software developer from London, skilled in Python, JS, TS, and NextJS. My psychology background drives user-centered solutions, and my quick learning helps me collaborate effectively on real-world problems.
+
Projects
%
Happy Clients
Awards
Years
My Journey
MSc Health Psychology | Merit (2.1)
University of Westminster
- Dissertation: 'Acceptability of Artificial Humans and Virtual Assistants in Healthcare'.
- Explored the acceptance of AI-based healthcare assistants during COVID-19.
- Conducted quantitative analysis using logistic regression, multiple regression, and cross-tabulation.
- Identified users' awareness, perceived usefulness, and barriers as pivotal factors for acceptance.
Python Programming
Online Courses and Mini Projects
- Completed courses like 'Python For Everybody' by Dr. Chuck, '100 Days of Code' by Angela Yu, and 'Harvard CS50x'.
- Projects included: WhatsApp AI Text Impersonator, Python GUI for AI Training, Google Maps Scraper, and Text Sentiment Analysis.
Hackathon Project: Onaegis
Hackathon
- Developed a SaaS website to detect bot-like behaviors in users' YouTube accounts.
- Used APIs (YouTube and GPT), JavaScript for the website, and Python to train the AI Model.
Team Member
Honi Poke
- Completed daily KPIs and ensured customer inquiries were met.
- Worked collaboratively to achieve team operational targets.
MaxReach
Personal Project
- Used APIs and scraping to develop a better understanding of LinkedIn profiles.
- Created character profiles and personalized outreach using a trained GPT-3.5 Turbo AI Model.
Freelancer
UpWork
- Promoted my services on UpWork, assisting clients with Python scripting tasks.
- Projects included a script to read barcodes and QR codes from images and export data to Excel.
My Skills
My Projects
Zaman Bookings
A full-stack booking site for salons that allows them to take bookings for multiple services and employees per booking. Built with Next.js, MongoDB, and Node.js.
GP AI Audio Summariser
Used DeepGram API and trained GPT-4 to transcribe audio and develop a table summarizing symptoms, duration, and client health notes for GP consultations.
Omdena Challenge: Alzheimer Detection
Developed a machine learning model for early Alzheimer's detection using brain scan images. Overcame challenges like data leakage and medical imaging complexities.
MaxReach
Analyzed LinkedIn profiles with APIs and scraping, automate lead data, and provide personalized outreach using GPT-3.5, with a Next.js dashboard, MongoDB, Clerk, and Stripe.
Onaegis
Developed a SaaS website during a hackathon that detects bot-like behaviors across YouTube accounts using GPT and Python-based AI model training.