Open to opportunities

Руслана User

@user266

Machine Learning Engineer and Data Scientist building fraud, segmentation, and forecasting systems that drive measurable impact.

Kyrgyzstan

Message

What I'm looking for

I’m looking to build end-to-end ML systems—segmentation, fraud detection, NLP, and forecasting—using strong data engineering and MLOps, in teams that value measurable business outcomes and clean, reproducible deployment.

I’m a Machine Learning Engineer/Data Scientist focused on end-to-end pipelines that turn data into measurable outcomes. At ’Alpha Oil’ LLC (Red Petroleum), I boosted marketing campaign conversion rates by 15–25% through a segmentation pipeline, managed a 500GB ClickHouse DWH for 600K+ profiles, and trained a Gaussian Mixture Model (GMM).

I also reduced repetitive internal analytics requests by 40% by co-developing a corporate AI agent and knowledge base, and I built a transaction fraud scoring model with Python and CatBoost (feature engineering, Optuna, calibration, inference pipeline, and automated alert/report generation). From freelancing and building projects, I’ve deployed time-series forecasting, NLP pipelines using text embeddings, and a job recommendation engine with Sentence-BERT—implemented with Celery/Redis and production-ready Docker workflows.

Experience

Work history, roles, and key accomplishments

Current

ML Engineer/Data Scientist

Current

Alpha Oil LLC (Red Petroleum)

Nov 2025 - Present (8 months)

Designed and deployed ML pipelines for customer segmentation, internal AI/LLM evaluation, and transaction fraud scoring. Built supporting data aggregation and automated alert/reporting workflows.

Python Clickhouse Gaussian Mixture Model Machine Learning LLM Evaluation CatBoost Optuna Feature Engineering Inference Pipeline Alerting Reporting Behavioral Features

Data Scientist

Freelance

Oct 2024 - Nov 2025 (1 year 1 month)

Delivered machine learning solutions remotely, including time-series forecasting, NLP-based competitor analysis, and churn/engagement modeling for mobile app data.

Python Time Series Modeling NLP Web Scraping Forecasting Churn Modeling

ML Engineer(Python)

EmployMe

Oct 2023 - Jun 2025 (1 year 8 months)

Built a hybrid job recommendation engine using collaborative filtering and Sentence-BERT embeddings, and implemented asynchronous scoring/inference workflows for user-resume matching.

Python Collaborative Filtering Asynchronous Celery Redis SQLite Recommendation Systems Background Inference