Position: Machine Learning Engineer
Category: Data Science
English level: intermediate
Years of experience: 2.5


I have four months of experience as Machine Learning Engineer. I have been involved in the development of these projects:
---- Recruitment analytics platform
An analytical platform that includes a comprehensive understanding of candidate profiles, assessing recruitment trends in terms of technology and skills, and assessing the candidate's compliance with specific job requirements, drawing on information from a variety of sources
---- Object detection
Developed object detector app classifies and localizes 90 different classes. Two different models were trained for an Android app and a web app prototypes, respectively. A web app was built with Flask, Android app was implemented in Java, as a base for this app was took TF mobile demo. Models were trained using TensorFlow Object Detection API.

Pet projects:
- A recommendation system that recommends open vacancies based on job seeker’s skills was developed during 24-hour AI Hackaton. Firstly, word embedding was used for analyzing job seekers’ CV and vacancies. Then, the system uses Word Mover's Distance to find suitable vacancies for a specific job seeker.
- A website built with Django, which recommends an anime based on user preferences using a SVD-based machine learning method of Scikit-learn library.

Skills:
– Python & Python libraries (NumPy, Pandas, SciPy, Matplotlib, Seaborn, TensorFlow, Keras, Scikit-learn)
– Machine Learning Concepts: learning theory (fitting models, validating and testing), EDA, pipelines for gathering and cleaning data
– Git, Linux, Docker, HTML, CSS
Challenging tasks and opportunities for professional growth, a friendly atmosphere, a flexible schedule.
I don't want to work on credit/insurance scoring tasks.