Dmitriy Kravtsov

• For 2 years I have been involved in a startup that predicts the price of rent, sale and mortgage of real estate objects.

 - During this period, I have developed and implemented more than 40 machine learning models based on Random Forest, XGBoost, LightGBM and others, including on AWS with an error level of up to 5%

 - I have experience in deploying machine learning models based on the Python, including through the front-end (HTML, CSS) and through the API

 - There is experience in data parsing (BeautifulSoup) and the use of NLP in converting object descriptions into their features (BERT, GloVe, TD-IDF), skills in working with SQL databases

 - Working with geospatial characteristics, clustering (DBSCAN) and detection of anomalous data

 - Time Series based forecasting the dynamics of real estate prices with macroeconomic factors (Linear and Polynomial Regressions, VectorAutoregression, SARIMA, FB Prophet with exogenous factors, interpolation, savgol filter)

 - NLP based classification of Customers (classification by description with vectorization (TF-IDF, GloVe) and modeling (MultinomialNB)), Property Address mapping, text summarization and classification

 - Rooms images classification (Transfer Learning) through more than 20 classes with F-score 91%

 - Strong analytical skills, ability to understand the essence of the issue, I have a master's degree in systems analysis, I like to modernize and improve existing processes