TATIANA YUNINA
DATA SCIENTIST
Order forecast for Rohlik Group | Order forecast for Rohlik Group, a leading European innovator in the field of online shopping. Based on the Sinusoidal Approximation, Decomposition. Time series Forecasting model with regressors. |
Binary Classification of Insurance Cross Selling | Predicting which customers will respond positively to the car insurance offer. Tensorflow, Keras |
Patient Condition | Predicting whether a person has one of three diseases based on company data from InVitro Cell Research, LLC (ICR), a regenerative and preventive personalized medicine company. |
Prognosis of a Patient with Cirrhosis | Predicting outcomes in patients with cirrhosis based on blood test data. |
Weather | Rain prediction using the ARIMA model. |
Great Expectations | Verifying the quality of csv file data with Great Expectations. |
Local LLM+RAG for documents | Llama3.2 and embedding models for analyzing text documents locally |
It's good to see you. My name is Tatiana.
I am an enthusiastic passionate data processing specialist. Use maths, statistics, databases and computers to help understand what is happening and make informed decisions based on data. I can implement statistical models and machine learning models for both explanation and prediction. I have the ability to extract meaningful information from complex datasets. And I just like doing everything related to data.
I am proficient in Python and skilled in data analysis tools such as Power BI and Tableau.
My education in physics and microelectronics has provided a solid foundation for statistical analysis and data-driven problem-solving. In addition to my education, I have completed IBM's Data Science course. In my free time, I keep up with industry developments and enjoy participating in Kaggle competitions.
I am always on the lookout for new challenges.