Anton Andreitsev
Verified Expert in Engineering
Data Scientist and Machine Learning Developer
Helsinki, Finland
Toptal member since August 8, 2022
Anton is a data scientist, machine learning (ML) engineer, and data enthusiast with four years of working experience in data assimilation (DA) and machine learning. He has supervised a team of junior and senior specialists and taught machine learning for three years at Moscow State University.
Portfolio
Experience
- Python - 6 years
- Machine Learning - 4 years
- Data Analysis - 4 years
- Pandas - 4 years
- NumPy - 4 years
- SQL - 3 years
- PyTorch - 3 years
- Deep Learning - 2 years
Preferred Environment
Linux, PyCharm, JetBrains DataSpell, Jupyter Notebook
The most amazing...
...thing I've developed is eva, a gynecological bot, used by more than 100,000 users all over the world.
Work Experience
Senior Data Scientist
Alfa-Bank JSC
- Worked on investment propensity and uplifting models. Increased a response rate from 0.6% to 2% and reduced marketing campaign costs.
- Decreased a churn rate from the investment app by 16%.
- Worked on the investment product recommendation models and increased # of active clients by 3%.
- Built an ML pipeline for optimal workflow for the team. Worked on model deployment, serving, monitoring, and auto-retraining.
ML Engineer
Rubbles
- Worked on demand forecasting for restaurants. Created an algorithm that outperformed the existed forecasting approach.
- Modeled output interpretability for the demand model. Found insights in demand regulation and action points for stakeholders.
- Worked on forecasting motor oil blend characteristics. Automatized a new blend creation procedure.
Junior Data Scientist
DOC+
- Built eva, the gynecological bot, from scratch. It is used by more than 100,000 users worldwide, and over 75% of users' questions have been correctly matched with relevant articles on the first try.
- Increased inference speed of symptom recognition from ten to one second on a standard patient's chart.
- Added value to the final text classification model using texts without labels and their clusters.
Experience
Product Demand Forecasting for Wildberries
https://github.com/andreitsev/wbEducation
Master's Degree in Applied Mathematics and Computer Science
Moscow State University - Moscow, Russia
Bachelor's Degree in Economics
Moscow State University - Moscow, Russia
Certifications
Go (Golang) for Beginners
Stepik
Neural Networks and Computer Vision
Stepik
Algorithms: Theory and Practice. Methods
stepik
Skills
Libraries/APIs
Pandas, NumPy, PyTorch, PySpark, CatBoost, XGBoost, Shapely, Scikit-learn
Tools
PyCharm, JetBrains DataSpell, Apache Airflow, Named-entity Recognition (NER), Cron, Git, ARIMA
Languages
SQL, Bash, Python, Go
Frameworks
Hadoop, LightGBM, Flask
Paradigms
MapReduce
Platforms
Linux, Jupyter Notebook, Docker, Amazon Web Services (AWS)
Storage
Apache Hive
Other
Machine Learning, Data Analysis, Econometrics, Statistics, Deep Learning, Statistical Modeling, Neural Networks, Natural Language Processing (NLP), Topic Modeling, Generative Pre-trained Transformers (GPT), Social Network Analysis, Big Data, Algorithms, Computer Vision, Recommendation Systems, Demand Forecasting, Time Series, Chatbots, Deployment, Metabase
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