Position: Machine Learning Engineer, Data Scientist, Research Engineer
Category: Data Science
English level: fluent
Years of experience: 1

I have a PhD degree in statistical physics, which is a quantitative field closely related to data science.
I work as a research scientist/engineer with primary focus on statistical modeling and computer simulations of molecular systems. A large part of my work is devoted to data analysis, visualization and presentation. I have experience applying both classical and deep learning algorithms to exploratory data analysis, pattern recognition, image identification, NLP, as well as standard regression/classification supervised learning tasks.  

Due to strong mathematical background, I have thorough understanding of machine learning algorithms as well as artificial neural network (NN) architectures, including Fully Connected NN,  Convolutional NN, Recurrent NN (LSTM, GRU). My primary frameworks for machine learning tasks are Python Scikit-learn, Keras, and Spark MLlib. For data analysis and visualization I use Python NumPy, Pandas, Matplotlib, and SQL. I also have experience deploying and working with big data sets on AWS clusters (Elastic MapReduce, Deep Learning AMI, Apache Spark).
I have a passion for exploration and modeling of real life processes via analytical and data driven approaches. 
Due to this and other reasons, in my future career I intend to focus on the fields related to artificial intelligence (data science, machine learning, research).

At a new job, I would love to learn something new and grow as a professional. I enjoy working both independently and as part of a team due to extensive experience of collaboration with other research groups.