Ігор

Vacancy AI - ML - OpenCV Engineer.

Professional Smmary.

I develop models for classification, clustering, regression, anomaly and pattern
detection, multiple correlation, and model optimization using OpenCV-Rasberry Pi,
Scikit-learn, PyTorch. Classic CV methods are tracking in a video stream using
OpenCV image processing algorithms.
The main tool is Python, but I have experience with C, Perl.
ML skills: data collection, data preparation, training, deployment, monitoring, software
development life cycle management.
Experience in software development management.
Experience with MLFlow - MLOps technology.
Performed code audit and coordination between teams.
Experience with Apache Superset, Power BI, Tableau, Qlik.
Building visualizations, dashboard reports.
Kiiko Ihor.
Zaporizhzhe 69059
Work experience
Ukraine
+380(50)421-83-09 2015 - 2019 PrivatBank Db Engineer, DevOps.
A better communication channel
WhatsApp / Signal Monitoring AWS Python Prometheus services, support for MySql Perl fast payment
[open contact info](look above in the "contact info" section)
service. Extensions TimescaleDB, PipelineDB, Redshift, Snowflake.
Citizenship Ukraine
Scripting - creating requests to AWS cloud services.
Category B driving license. Planning and building an OpenCV model for object recognition using the Viola-Jones
Language skills model. Tracking movements in large video streams
Ukrainian, Polish, Familiarization and planning to use the YOLO framework.
English B1. Scripting - creating requests to AWS cloud services.
Planning and building an OpenCV model for object recognition using the Viola-Jones
model. Tracking movements in large video streams.
Using Scikit-learn and Seaborn for analytics.
Python WebScraping model for customer analysis and verification.
DevOps support - environment deployment on servers and AWS.

2019 - 2021 AlfaBank Leader PostgreSql.
Monitoring and support of 20 production PostgreSql servers and 35 dev servers.
Migration of services to the Azure cloud.
Designing a proactive monitoring system using artificial intelligence. Integration of
monitoring with the developed prognostic system.
Planning the integration of Azure ML into the company's microservice architecture.
Assist developers and manage test processes and deployments of new software
versions.

2021 - 2021 Epam Azure Db Engineer.
Attestation training.
Working with Azure Data Explorer, Databricks, Anomaly Detector.
In 3 months of study, Working with Azure Stream Analytics, PySpark, SparkSQL.
Testing the Azure Machine Learning service.

2021 - 2022 Tamga Db Engineer, Data Scientific.
Build of queries for sampling data from the OLAP cube and database to create
scoring system. Calculation of statistical parameters of data from requests.
Building a model of customer behavior.
Development of a customer clustering system and a predictive model.
2022 - 2023 Teambit Sec Analytics.

Development, installation, support: PostgreSql, MySql, Redis, MongoDb.
Code analysis for security. Consultation of developers. Preparation of analytical
reports for project managers. Building an event prediction model.
Development of documents and standards for the company. Working with SonarQube,
Snyk, GitHub, Tabelau.

Additional Information.

Using ML models in data preparation and primary analysis.
Data analytics for selecting a learning model.
Use of Scikit-learn, PyTorch - regression, search for anomalous data, data cleaning,
classification, clustering, signal classification and rediction.
Programming dimensionality reduction languages Perl, Python, SQL, Bash, C.
Introduction to technology: Kafka, RabbitMQ.
Writing test cases. Code test coverage calculation.
Creation of boundary tests

Courses: Cloud Guru: - Linux – Azure.
Area of interest: Neural network, Analytical computing, Data Science, ML, DL,
Cloud services, Data architecture, BigData.
Tools and methods for optimizing data computing processes.

Online profile.
[open contact info](look above in the "contact info" section)
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