Sami Emre Küçük

Sami Emre Küçük's work experience begins in 2011 when they worked as a Researcher and Graduate Teaching Assistant at Sabancı Üniversitesi. During this time, they worked on projects involving molecular dynamics simulations and performed post-processing of simulation data using tools such as NAMD, Gaussian, and Charmm. Sami Emre also assisted in teaching Natural Sciences 101 and conducting experiments in the Physics lab.

In 2018, Küçük joined AVL as a Data Scientist and later became a Senior Data Scientist. Sami Emre applied the CRISP-DM methodology to predict greenhouse gas emissions in real-world driving using vehicle sensor data. Sami Emre developed and implemented supervised models, time-series forecasting methods, and unsupervised methods for data analysis. Additionally, they designed and developed an end-to-end system for Electrified Vehicle Battery Health Estimation and Lifetime Prediction.

In 2020, Küçük joined FTET Technology as an Artificial Intelligence Software Engineer. Sami Emre created Autoencoder-based models for anomaly detection in audio and vibration data and applied them to real production environments. Sami Emre worked on the backend of the data pipeline, retrieving sensor data, preprocessing it for anomaly detection, and storing and sending anomaly information to edge devices.

Most recently, in 2021, Küçük joined Arundo Analytics as a Data Scientist. No specific details are provided regarding this role.

Sami Emre Küçük completed their education at Sabanci University from 2011 to 2016, where they obtained a Doctor of Philosophy (PhD) degree in Physics. In addition to their formal education, they have also earned several certifications in various subjects. These include the AWS Cloud Technical Essentials certification from Coursera in August 2021, the Deploying Scalable Machine Learning for Data Science certification from LinkedIn in July 2021, the DevOps for Data Scientists certification from LinkedIn in July 2021, the Learning Kubernetes certification from LinkedIn in July 2021, the Introduction to Machine Learning in Production certification from Coursera in May 2021, the Advanced Deployment Scenarios with TensorFlow certification from Coursera in March 2021, the Custom Models, Layers, and Loss Functions with TensorFlow certification from Coursera in January 2021, the Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning certification from Coursera in January 2021, the Build a Data Science Web App with Streamlit and Python certification from Coursera in September 2020, the Advanced Python certification from LinkedIn in July 2020, and the Managing Python Projects certification from LinkedIn in December 2019.