Junior Data Scientist with basic skills in applying DS to business problems from understanding business needs and data preparation to developing machine learning models and interpreting the resulting data.
Yolo
, torch
, CV
, bert
, NLP
, python
, scikit-learn
, catboost
, lightgbm
, xgboost
, EDA
, matplotlib.pyplot
, seaborn
, pandas
, numpy
, SQL
.
Repository | Description |
---|---|
Auto_ECHO_heart | Description and interim results of the project (code under NDA) conducted during my internship at Doct24. It focuses on extracting heart characteristics from segments generated by a fine-tuned YOLOv8 model. |
Handbook | A handbook in which I analyze and summarize the basics of ML. |
Pet_projects | Repository of pet projects where I defined the tasks and developed their implementation by myself. |
test_tasks | Projects completed as part of test assignments. |
Yandex_Pracitcum | Projects from the Yandex Practicum Data Science course. |
Yandex_Practicum_workshops | Repository of projects that have a real client with an actual task, completed based on real data. |