Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 3

• Built a complex Probability of Default Prediction model from scratch and handed it over to production.

• Developed an end-to-end system for Annotating Chemical Images (image captioning model) working on TPU.

• Built a churn detection model. Participated in all stages including scoping, data collection, pre-processing, and modeling.

• Participated in recommendation engine development for banking products.

• Fluent in Russian, English, Turkish

• Intermediate knowledge of German
I have around 3 years of experience in building machine learning models in the financial industry. Additionally, I have experience in delivering deep learning projects concerning computer vision.

Some key highlights:

• Developed an end-to-end machine learning pipeline for Probability of Loan Default (PD) Prediction

• Build an ETL using Oracle SQL and PL/SQL

• Implemented logistic regression, random forests, XGBoost, and Deep Learning to solve the problem of PD prediction on tabular data

• Developed a customer churn prediction model for a mobile application using TensorFlow 2.0

• Implemented an image captioning project using Encoder/Decoder Architecture with the use of Attention Units in Decoder

• Used Transfer Learning to encode images into feature vectors

• Worked with deep learning models running on TPU using TensorFlow and PyTorch XLA

• Implemented Vision Transformers for Image Captioning Project

• Completed research on existing Text-to-Speech models and their application to banking (paper available upon request)

• Have excellent knowledge of probability and mathematical analysis.
• Building machine learning models, such as Random Forests, XGBoost, etc.

• Working with images

• Building end-to-end machine learning pipelines

• Helping retrieve and preprocess data

• Build deep learning models using TensorFlow and/or Keras

• I have a deep interest in handling voice data but have limited experience working with voice. Nevertheless, would love to participate in projects on text-to-speech or speech-to-text.