Position: Junior Data Scientist/Deep learning Engineer
Category: Data Science
English level: fluent
Years of experience: 0.5


Have enough knowledge of calculus, statistic and probabilities to understand how Neural networks work as well as steps for performing analytics. Also, has experience with classic DS algorithms: Linear and Logistic regressions, Decision tree, Ensembles and Boosting, Cluster analysis.

Used to work using CRISP-DM methodology. Has great communication and presentation skills, a business-oriented mindset.

Mostly focused on Computer vision (Classification, Segmentation, Detection, etc) and Audio processing (ASR, Speech-to-text) projects. DL framework: PyTorch

Meanwhile, knowledge of Python (OOP, multiprocessing/multithreading, Flask, pandas, numpy) Databases and Visualization tools and libraries (plotly, seaborn) helps me transform my thoughts into code and eventually present it.