As a highly skilled mathematics teacher with over 8 years of experience, I have developed a strong passion for data science. Now I have several years of experience in the field of Data Science and most of this time I work in a FinTech company Creditstar, which is presented in 40+ markets across the EU with over 1 million registered user accounts. I have gained experience in developing actionable insights and supporting reporting processes, gathering detailed business requirements, improving reporting infrastructure, and manipulating complex data sets using SQL with the Snowflake platform. I have also built datasets and reports from scratch using MS Power BI and calculated key business KPIs and Portfolio Quality indicators, made various analyses to help make all decisions data-driven.Some of my projects can be found in my GitHub repository (https://t.ly/BJl5). Stack: -SQL (Snowflake, MySQL, PostgreSQL, Redash)-Python (pandas, numpy, scipy, statsmodels, matplotlib, seaborn, plotly, sklearn, Catboost, XGBoost, LightGBM, Pytorch, Keras)- Visualization (Power BI, Superset, Tableau)- ETL Pipeline (Airflow)- Randomized A/B tests (Fixed Horizon, Sequential Testing) and Counterfactuals Analysis / CUPED/ SPRT- Click House- Google Analytics- PySpark- S3-GitMy favorite projects:This project (t.ly/p6Jdm) is about regular controlling of the main metrics and detecting anomalies through calculating the confidence intervals.This project (https://t.ly/bln-l) is about alloy temperature prediction. It was a very complex project that needed skills in data analysis and data modeling. The final result is a model that could predict alloy temperature with an error of MAE 5.5. Data is like people – interrogate it hard enough and it will tell you whatever you want to hear.