I'm passionate about transforming AI into impactful products using my math, analytical, ML and web development background. I also love swimming, chess, reading and traveling :)
- Data science/Machine learning: Python, SQL and PyTorch for Deep learning
- Web development: HTML/CSS, JavaScript, Streamlit, Flask/Django and MERN stack (MongoDB, Express, React, Node)
- Cloud: AWS Cloud architecture and Apache Hadoop/Spark for big data
- Robo-advisor for investment decisions
- Built a dating recommendation microservice system
- End-to-end smart speech to action travel app, deployed on AWS
- End-to-end deep learning chatbot for robo-advisor, deployed on AWS
- Building pipeline for Offline Reinforcement learning
- Image to Speech using captioning + attention
- Applied transfer learning for image classification with UI functionality
- Social network app clone using Django
- Timers using MERN stack
- Movie database built by Vanilla JavaScipt
- Django e-commerce website
- Deep learning based hotel recommendation app
Applied end-to-end data science techniques over Summer 2022 to accurately understand wetland carbon emissions change in the USA Southeast. Check the repo.
Designing AI explainability tutorial for Convolutional Neural Network
Copyright © Kenan Bekirli 2022