Daria Veresha - Резюме data analyst, data science

no commercial experience in the field of IT

Design engineer Lawyer (law)

Entry to ML tasks, NumPy, Pandas, Pandas (Data Visualization) . Feature Engineering, Linear Regression, Regularization, ML metrics. Metric models, Straight spaces, class imbalance, Decision trees, SVM. Clustering, Clustering (part 2). Dimensionality reduction, Time series, Text-based robotics, Fundamentals of neural networks, CNN, Seq-To-Seq, Transformers, Diffusion models, OpenCV, Reinforcement learning, Acquaintance. The program is safe, bash, pip, control system versions: view, git, git stream, conflicts. Flask, Flask, REST, Flask, Database, Context Manager, Database Writer, Debugger, Threads, Processors, Threading, multiprocessing, Celery, Docker, Docker Compose, SqlAlchemy, SQL Alchemy, postgres, API Call Plugin, Migrations, Flask Sessions, Django, Django, database, Django Query, URLs, Dodaemo functionality, templates, Django session and core, Testing, Django Tests Fixtures, aiohttp, aiohttp in practice, MongoDB, Adding a bot, aiohttp Session, Cloud (AWS), Cloud (GCP), Cloud (Azure),Basic concepts of Python, Git. Input/output operations in the console, Operators. IF structure, loops, strings. Random. Regular expressions, lists, tuples, sets, dictionaries. namedtuple. Functions, Sorting algorithms, Classes, Exception handling, Working with files, Queries, Scraping And also additionally studied: Memory.GIL. And a little about software development methodologies, DRY.KISS.SOLID, Binary number system. Business operations. Repetition of conditional constructions and ternary operators.

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Easy to train, active and perseverance are my main features