Position: Data Scientist
Category: Python
English level: fluent
Years of experience: 2


Construction equipment and safety violation detection						
Position:	Machine Learning Engineer					
Client:	Australian Company                                  					
Product:	Web-based and cross-platform mobile application 					
Industry:	Constructions					
"The solution is a web-based and cross-platform mobile application with Machine Learning CV algorithms at core. Using YOLOv5 to detect cases of possible safety violations, misplaced machinery or materials, inappropriate.
Responsibilities: Machine Learning model development, training, maintenance and deployment, development of backend features. "						
Project Technologies Stack:						
Python, PyTorch, FastAPI, AWS						
						
The Platform for Choosing a Career Path						
Position:	Machine Learning Engineer					
Client:	US Company                                  					
Product:	Web-based and cross-platform mobile application 					
Industry:	HR, Recruiting, Social Networks					
Overview:						
"The solution is a web-based and cross-platform mobile application with Machine Learning and Data modeling capabilities. Project mission: help people work happy, live balanced, feel fulfilled; assistance in navigation of the ocean of careers to find the path to dream roles that best suits someone’s passions, purpose, skills, and strengths.
The Platform helps user to find his path and get after it by using technology to identify the careers that best fit user's skill set, lifestyle, experiences, and interests.
Responsibilities: Machine Learning model (that provides scoring and recommendation services) maintenance and deployment, development of backend features. "						
Project Technologies Stack:						
Python, Doc2Vec, TensorFlow, Django, ReactJS, Flutter, Gensim, FastAPI, AWS						
						
Mobile dance game 						
Position:	Machine Learning Engineer					
Industry:	GameDev					
Overview:						
Mobile game powered by ML pose estimation solution translating to 3d-avatar.						
Project Technologies Stack:						
Unity, ONNX, Tensorflow, TF-Lite, PyTorch, OpenCV, Google Mediapipe, Pandas, Redis AWS						
						
Healthcare Covid-19 Project 						
Position:	Machine Learning Engineer Trainee					
Industry:	Healthcare					
Overview:						
Computer Vision application called to help doctors to analyze chest X-ray imagery to diagnose Covid-19 presence.						
Project Technologies Stack:						
Tensorflow, Keras, PyTorch, OpenCV, pandas
Цікава вмотивована команда.
Цікавий проєкт де є можливість розвиватися.
Подобається працювати сконцентрованим на одному проєкті, коли є поле відповідальності і я реалізовую задачу. 
Подобається можливість обговорювати бізнес задачі як з клієнтом так і всередині команди.