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Hi there 👋 I'm Grigorii Tarasov

I'm an Experienced Machine Learning engineer, Python developer who started from Data Scientist job.

1. Detailed info

Careerpath, publications, certificates, skills and technologies are mostly listed at Linkedin

2. Sample projects

While most of my projects are closed-source, I'm happy to share some solo projects that higlights skills and stack.

(status) type, Link Scope Technologies Used Focus of implementation
(Ongoing) Handbook with code
Leaks-in-ML-DS-prevention		 Experiment design, metric choice,
pipeline rules to prevent leaks in ML/DS systems.
Quick fixes where possible.		 Markdown
ML experiment design		 Experiment design
consultations
(Completed) API service
Face-Age-Detection-app		 Detects a single face and predicts age.
Finetuned on UTKFace dataset.
Returns JSON with bounds coordinates,
age, and confidence		 Conda docker
DVC Fastapi
github actions
MlFlow Pytest tensorflow 		CI, conteinerization
code quality
flexebility of model ML updates
(In process) MLE project
Optiver-Trading-at-the-Close-retrain-monitoring		 Monitored time series prediction pipeline with
intensive feature engineering including Linear Regression and
best proven model of boosting family		 Catboost Optuna Polars Feature engineering,
Boosting model,
Monitoring, time series,
metric decay automated prevention

3. Contacts

grigoriitarasov's Projects

leaks-in-ml-ds-prevention icon leaks-in-ml-ds-prevention

Ongoing handbook with practice-orientated examples, quick-fixes, symptoms, tests for leaks during data preparation and model development

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