Ігор

Vacancy Analytics.

Professional Smmary.

Data analyst and machine learning engineer with over 9 years of experience in the
financial and technology industry. Design, development and support of machine
learning and deep learning systems. I specialize in building data architecture, data
analytics, customer behavior modeling, neural network development, machine
learning, dashboard development, ETL/ELT processes. He worked with large data
sets in cloud environments (AWS, Azure). I have skills in working with OLAP/OLTP,
NoSQL systems. I have experience in setting up and maintaining service security.
I actively use Python, SQL, BI tools and Data Science methods to obtain insights.

Work experience
Kiiko Ihor.
2015 - 2019 PrivatBank Db Engineer, DevOps.
Zaporizhzhe 69059
Monitoring AWS Python support for MySql Perl fast payment service. Extensions
Ukraine
TimescaleDB, PipelineDB, AWS Redshift, Snowflake.
[відкрити контакти](див. вище в блоці «контактна інформація») DevOps support - environment deployment on servers and AWS.
A better communication channel
WhatsApp / Signal
Collects, transforms, prepares, and analyzes data from AWS Cloud, NoSQL,
[відкрити контакти](див. вище в блоці «контактна інформація») RDBMS sources. Deploying models with AWS Sagemaker.
Working with services: Athena, Amazon EMR, AWS Glue, OpenSearch,
Citizenship Ukraine
CloudWatch Logs, QuickSight. Analysis of customer behavior.
Category B driving license. Identify the metrics that have the greatest impact on the system. Predicting the next
Language skills events based on the obtained parameters by predicting the behavior of services
Ukrainian, Polish, based on time series data.
English B1. Developed a script - creating requests to AWS cloud services and script OpenCV
searching people's and tracking movements in large video streams of, a script`s with
scikit-learn, WebScraping model for customer analysis in social networks.

2019 - 2021 AlfaBank Leader PostgreSql.
Monitoring and support of 20 production PostgreSql servers and 35 dev servers.
Analyze service data using Azure AI to suggest system improvements.
Work in the area of predictive analytics. Preparation of data and its cleaning before
analysis. Development of models.
Porting the database from the server to the Azure PaaS service and setting up
access and monitoring in the ecosystem.
Wrote a Python script - analysis of services and building dashboard's.
Working with Azure services Log Analytics, Monitor Logs, Application Insights,
Azure for PostgreSQL, Data Factory.
Statistical analysis of service performance
Development of a monitoring system with AI elements.

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,
Azure Analysis Services. Using the BI system Tabelau.

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 an analytical service based
on a scoring model. Clustering of customers according to specified criteria.
Building dashboards with Apache SuperSet. Development of Data Mesh and
DataLakes. Building ELT pipelines.
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 a predictive model for errors in the code and
the probability of service damage with ranking by the type of dangerous code.
Development of documents and standards for the company. Working with
SonarQube, Snyk, GitHub, Tabelau. Lakes. Building ELT pipelines.

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 a predictive model for errors in the code and
the probability of service damage with ranking by the type of dangerous code.
Development of documents and standards for the company. Working with
SonarQube, Snyk, GitHub, Tabelau.

Additional Information.
Porting - PostgreSql to Azure PaaS and AWS RDS.
Introduction to technology: ОLAP - OLTP - DWH.
Monitoring with: Zabbix, Prometeus, Percona Monitoring, pgCluu.
Development of streaming monitoring with AI elements.
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.
[відкрити контакти](див. вище в блоці «контактна інформація»)
[відкрити контакти](див. вище в блоці «контактна інформація»)