Oleg Kazanskyi

Data Analytics and ML Engineer

Hello Friend!

I am a senior-level BI Engineer with very advanced knowledge of Power BI, SSAS and MS Fabric (PySpark, SQL, ETL Pipelines and Dataflows, Warehouse and Lakehouse, Databricks).

I love data analysis and automation. Over the last 4 years, through continuous education and multiple successful projects, I obtained a strong data science skillset with hands-on machine learning experience in Python (scikit-learn, Pandas, Numpy, Keras, Pytorch).

Let me share with you some recent personal projects in data analytics, ML and data engineering.

The information on this site is unrelated to any organization of my employment. Some of the projects were developed as a freelance task and some are my personal projects.

If you have any questions, you can always contact me:

Phone: (343) 204-9852

Email: oleg.kazanskyi@gmail.com

Linkedin: https://www.linkedin.com/in/oleg-kazanskyi/

Highlights

10 Years of Expertise in Procuremetn and Demand Planning

Master of Finance

4 Years in ML Field

5 Years as Senior BI and
Data Engineer

Post Graduate Education in ML

Microsoft Power BI Data Analyst

Fabric Data Analytics Engineer

Experience from the Top Performers in their Field

Tools I'm Working With

My Publications in the ML Field

Knowing how to properly fine-tune an ML model is great, but the question arises of how to let other users, inside or outside the company, to use it. That’s when the rubber hits the road because only sharing your model and running it on real data creates actual value for the business

Deploying an ML Model is easy with MLFlow and AWS Sagemaker

In the series of articles, I would test a non-time-series analysis of the stocks trading data from the S&P 500. The approach is based on thinking of data from financial markets as a performance evaluation rather than seasonal movements.

Trading Analytics with Financial KPIs. Part I. Collecting the KPIs

Most online materials describe techniques to analyze a couple hundred inventory items. What if you have hundreds of thousands of articles?

Market Basket Analysis with the Big Data (kind of)

External market conditions may affect the company’s performance and valuation a lot, and we need to include these in our model

Pulling External Factors for Trading Analytics

In the series of articles, I describe my road in creating a reliable fully automated trading bot based on data from 500 companies from the S&P list and share my knowledge and experience with the world

5 Painful Mistakes I Made Creating an ML Trading Bot, So You Don’t Need To

In the series of posts I am trying to collect data from the financial markets and build a working ML model for predicting the future stock value fluctuations

Stock Prediction with Financial KPIs

Check My Projects on Github

github.com/OKazanskyi

Some Power BI Reports

Microclimate and Productivity

I love this report for its design and interactive page menu. Please scroll down to see more.

Real Estate Market Analysis

This report shows how Business Intelligence might be useful for the real estate market. You can gather in one place information about the local market, combine it with macroeconomic indicators and see how everything is related.

Students Behavior Survey

This report shows how PowerBI can be used for descriptive analysis with many categories and different answers.
In this case, a dataset was created on survey data that requires a different approach than working with the sales or customer numbers.

Contact

Oleg Kazanskyi

Data Science and Engineering

Ottawa, ON, Canada

+1-343-204-9852

oleg.kazanskyi@gmail.com

Oleg Kazanskyi Data Analytics and ML Engineer