Position: Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 2


- Implementing analysis and modeling to reduce credit risks,increase clients conversion and improve
systems of communication with clients (creating samples of relevant clients for advertising and
communications)
- Creating models for relevant offer.
- Data mining, processing and analyzing using T-SQL
- Creating credit scoring models, recommendation system, search for similar customers using machine
learning Python-tools.
- Customer churn research and predicting.
- Image classification. 

Python libraries and frameworks:

Sklearn, Pytorch, Keras, OpenCV, Tensorflow, Xgboost, Numpy, Pandas, Scipy, Statsmodels, Matplotlib, Seaborn, Spacy, Nltk, Django

Data science skills:

EDA, Model Building, Classification, Clustering, Linear optimization, Data mining.

ML/DL:

NN(CV), Decision Trees, Random Forest, Xgboost, SVM, KNN, K-means, Dbscan, Linear/Logistic regression