Alexey Bogatyrev
Skill
Experience
Vetting results
Machine learning
Certifications
Experience
Skills
Languages: Python
Frameworks: Tensorflow, Keras, scikit-learn, SciPy, MXNet
Data manipulation: Pandas, Numpy, Nltk
Image processing: OpenCV, scikit-image
Work Experience
Data Scientist, MadAppGang, 2022 - present
Design and implementation of end to end Recommender system for a marketing platform.
The role duties require the following:
- Production application design and implementation
- Recommendation model selection, development and validation
- MLOPs pipeline design, implementation and maintenance
- A/B testing
Data Scientist, 2022 - 2022
- Support, development and data analysis for BI solutions.
- Implementation of customer survey framework.
Key technology: Python, NumPy, Pandas, scikit-learn, Snowflake
Data Scientist, McKinsey & Company via Vertex Agility Ltd, 2021 - 2021
- Support, development and data analysis for BI solutions.
- Implementation of anomaly detection algorithms.
Key technology: Python, NumPy, Pandas, scikit-learn, PostgreSQL
Data Scientist, OTR, 2020 - 2021
- Development of support automation service. NLP. Text classification. Data extraction. Finding similar texts.
- Transfer learning. BERT(Transformer) neural network models.
- Open vocabulary problem: byte-pair-encoding (BPE) , unigram language model.
- One shot learning for finding semantically similar texts. Data analysis.
Key technology: Python, NumPy, Pandas, Keras/Tensorflow, scikit-learn, PostgreSQL
Data Scientist, Sidenis, 2019 - 2019
- Development of computer vision models for insurance exposure estimation service based on satellite imagery data. Regression. Image segmentation.
- Xception, U-net models.
Key technology: Python, NumPy, Pandas, Keras/Tensorflow, scikit-learn, PostgreSQL
Data Scientist, Umbrellio, 2018 - 2019
- Design and development of algorithms and services for fraud detection in financial transactions data. Classification problem for Fraud detection. Deep
- Neural Networks. Data anomaly detection.
Key technology: Python, NumPy, Pandas, Keras/Tensorflow, scikit-learn, PostgreSQL
Data Scientist, Freelance, 2018 - present
Recommender system development for the following areas:
- Marketing platform
- Online advertising
- A/B testing for recommender systems.
- Computer vision. Image classification. Quantity of uncertainty estimation of documents recognition problem. Dirichlet neural model. Hyper-parameters
Bayesian optimization. Xception model. Transfer learning.
- Failure prediction of high pressure pumping station, oil pumping station.
- Support vector machine model.
Key technology: Python, NumPy, Pandas, Keras/Tensorflow, scikit-learn, PostgreSQL, Airflow,
DevOps engineer, OnTarget labs, 2017 - 2018
- Data driven contextual advertising.
- Development and maintenance of code delivery(CD) and Continuous Integration(CI) process
- Production releases and low level environment deployments.
Key technology: Bash, Python, GIT, AWS, Docker, Kubernetes, Jenkins, SQL(MySQL)
Data Operations Engineer, RadiumOne, 2016 - 2017
Data driven contextual advertising.
Development and support of the following:
- Numerous ETL processes, mostly in Hadoop cluster
- Monitoring systems of data mangling processes
- Automation and deployment of processes developed by data engineers and/or software engineers
Key technology: Bash, Python, Jenkins, SQL(MySQL, Hive), Redis(noSQL DB), Kafka, Apache maven, GIT, Hadoop, Grafana, InfluxDB
Configuration Manager\Release Manager\Application Owner\Build Engineer, Deutsche Bank via Luxoft, 2014 - 2016
Release management.
- Development and maintenance of code delivery and Continuous
- Integration(CI) process of investment banking application (Java EE + Oracle Database 11g).
- Key technology: Jenkins, bash, Oracle Database 11g, PL/SQL, Apache ant, Apache maven, JBoss, Apache web server, Apache subversion(SVN)
