Emiliy Feldman Email & Phone Number

Berlin, DE

Berlin, Germany

- Setting up data preparation pipelines for model training (ClickHouse, Spark, AWS Glue)- Developing infrastructure and pipelines for model training and validation. Docker-based config-driven solution, production pipeline is driven by AWS StepFunctions.- Data quality and data stability verification. Developed pipelines for regular check of consistency.

Moscow, Moscow City, Russia

ML engineer, developer of recommendation systems, the technical lead of a team.- Built recommendation systems from scratch for 2 services: online books and show ticket sales. Increased metrics compared to baseline: +50% of CTR, +500% of reading books.- Developed ETL process for daily updating of customer recommendations.- Took a part in the creation of an.

Moscow, Russia

Worked as a full-stack ML and data engineer.Developed a recommendation system from nothing: - selected an infrastructure: several microservices interacting via REST-API and Kafka, with ClickHouse as data storage.- set up the collection of information about user actions;- implemented ETL-process to save information in the database;- developed and.

Moscow, Russia

Development and implementation of universal credit scoring models.- Collected data from various sources like APIs and third-party databases.- Developed data transformation processes, e.g., XML files parsing and converting to tables in the MS SQL database.- Increased old Python code speed up to 20x (from 5 days to 5 hours).- Reorganized the interaction.

Moscow, Russia

Development of SaaS machine learning models for marketing automation.- Invented the original model for customer segmentation (RFM analysis). This helps to apply an individual approach to different groups of users. - Developed customer churn model.- Rewrote some difficult SQL code for building analytical reports to Python, which led up to a 60% decrease in.