Summary
As a Python backend engineer, I can build applications and services and deploy them to remote infrastructure.
As a data scientist I can use your data to research, increase revenues, cut costs, improve customer relationships, reduce risks and more.
My strengths are curiosity, trustworthiness and attention to detail, fullstack realization AI services and research.
My weaknesses are public speaking and bureaucracy.
Tech Skill Sets
Python engineer
Services backend development, FastAPI endpoints and apps, Telegram bots, Web scraping, Youtube scraping, deployment to remote/cloud services on Ubuntu and their monitoring.
Data scientist
Data cleaning, EDA, understanding, preprocessing, anomaly detection, feature engineering & selection, clustering, augmentation 1D-2D, machine learning, ensembling, hyperparameters tuning, model explainability, deep learning, feature extraction, vectors ranging, dimensionality reduction, NLP, CV, distributed learning on GPU. Data Types: Tables, TimeSeries, Graphs, Texts, Images.