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