Alex S.

Worked on a project to create a Proof of Concept (PoC) for a document search system customized for the healthcare industry. Simplified the task of finding and confirming crucial documents at different points in healthcare operations. Communicated with customers and stakeholders, implemented A/B testing, formulated hypotheses, experimented with retrieval approaches, and improved model performance. Integrated final AI solution as a microservice of a broader client platform. Automated continuous model updates and inference via CI/CD paradigm. Deployed models on AWS cloud structures. Conducted code review.

Focused on churn prediction and segmentation for telecom subscribers. Leveraged advanced machine learning techniques to accurately forecast customer churn and identify distinct subscriber segments. Conducted exploratory data analysis, handled imbalanced data, added explainability layer, conducted A/B testing, and deployed models using AWS Sagemaker. Conducted code review.

Predicted the revenue of bank units for the next day based on historical data with exchange rates of competing banks and transaction volumes. Handled time-series tasks for predicting the amount of cash in ATMs. Developed models for revenue prediction, conducted exploratory data analysis, designed ETL and feature engineering pipelines, and monitored model performance in production. Conducted code review.

Worked on business processes automation using RPA and ML capabilities in materials purchasing and handling. Translated high-level ideas into actionable tasks, created clustering layers, explainability layers, and custom resampling techniques. Conducted code review, applied AutoML solutions, and configured AWS policies and subnets. Integrated with a system, created ETL pipelines, and implemented multi-stage data integration pipeline using PySpark.