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


Machine Learning Engineer
JSC ALSECO | Almaty, Kazakhstan

Developed an ML pipeline from scratch to predict the price per square meter of apartments using company data. The pipeline was used to create an ensemble with a third-party customer model that improved the predictive power of the customer's decision by 12%
Performed EDA on the company's historical data and created several new sets of features to be used in the company's internal customer scoring model project
Implemented a service to recognize water meter readings and IDs: developed several models on different architectures and selected the best with the highest mAP metrics on a benchmark test dataset; trained and validated models with YOLO architecture and implemented best practices to improve metrics; deployed the model into production and developed a service to store recognition results
Organized data collection, markup and validation from scratch with third-party markup freelancers using Label Studio data annotation software
Fine-tuned ASR model based on a Facebook Wav2Vec2-xls-r-1b model pretrained on a large dataset of russian speech using company cloud telephone recordings and openstt public dataset