Bank Clients Anomaly Detection Project with Data Engineering

The aim of this project was to: - ingest raw, real-world data from several tables stored in Google Cloud - transform the data and upload clean data to Cloud again - train unsupervised anomaly detection model - get predictions on Streamlit app

Mobile Game App Analysis Using ❄️ Snowflake SQL, Cortex Analyst and Semantic Model Generator

If you want to “talk” to your data, use Snowflake Cortex Analyst for delivering high text-to-SQL accuracy powered by state-of-the-art LLM Llama and semantic-model-generator repository to generate and curate a semantic model for Snowflake Cortex Analyst.

User Spending Analysis

Flask application providing APIs to analyze user spending data stored in a SQL database, integrating to MongoDB for storing specific users eligible for getting voucher and sending Telegram messages with calculated statistics to the store management and having unit tests for the APIs endpoints

Airline Customer Satisfaction Project

Course DP-100 - Designing and Implementing a Data Science Solution on Azure project, based on Airline Satisfaction dataset. A notebook and a presentation (screenshots from Azure) are made for comparing results from best models and their metrics.

Predicting length of stay in hospital with Python

Predicting length of stay in hospital with Python (or an example of when not to use linear regression while selecting what algorithm to use for your machine learning problem).

Company Analysis with Power BI

Using POWER BI Desktop and POWER BI Service, a report and a dashboard are created giving insights (Most Demanding Partner, Average Number of Touches, Busiest Day For Ops) from orders for IT services, subsequent suborders, cases and touches made by employees in an IT service providing company.

Customer Analysis using Excel and Essential Statistics

Analysis made using Excel and Essential Statistics from two tables with multiple worksheets, created data model, DAX measures, Data Visualizations