Irina Chernikova
ML/AI Engineer | ML/AIOps | 4+ Years Experience | LLMs | Boosting Revenue and Efficiency Through Data-Driven Solutions | Open to relocate
- Role
- Machine Learning Engineer at Digitalvertex Enterprises
- Location
- Hallandale Beach, FL, US
- LinkedIn followers
- 500 followers
About Irina Chernikova
I’m a self-taught Machine Learning Engineer with 5+ years of experience delivering over…
Experience
Machine Learning Engineer
Mar 2024 — Present · Atlanta, GA, US
Improved business processes using machine learning- Automated customer support: Led end-to-end NLP projects for inquiry classification with Transformers and spaCy, reducing response time by 30% and increasing satisfaction by 80%- Ensured quality control: Developed anomaly detection systems with Scikit-learn and Isolation Forest for predictive monitoring, preventing 18% defects, improving product quality by 1.4x, and saving $50K annually- Accelerated model development: Optimized ML models with PyTorch and TensorFlow on AWS SageMaker, achieving 3x faster training with GPU acceleration and 20% revenue growth through low-latency solutions- Enhanced customer retention: Built churn prediction models with XGBoost, reducing churn by 12% through proactive interventions- Strengthened fraud prevention: Designed real-time fraud detection with Scikit-learn, cutting fraudulent transactions by 15% and integrating with AWS Lambda and Kinesis pipelines.Optimized workflows and scalability- Streamlined ML operations: Implemented MLOps with MLflow for experiment tracking and Kubeflow for pipeline orchestration, boosting productivity by 45% and reducing development time by 3x- Enabled cross-functional collaboration: Collaborated with DevOps, data engineering, pricing, growth software engineering, legal, and compliance teams to deploy scalable models, ensure regulatory compliance, and produce model risk assessments.Made data clear and accessible- Improved decision-making: Created interactive dashboards with Power BI and Tableau to track KPIs, supporting data-driven decisions and improving stakeholder decision-making by 30%.Helped foster a data-driven culture- Upgraded team expertise: Trained 30 employees on ML best practices, data analysis, new algorithms, and model governance, enhancing analytics accuracy by 5x.
Education
Belarusian Trade and Economics University of Consumer Cooperatives (BTEU)
Bachelor’s Degree, Finance and Business Analytics
Belarusian Trade and Economics College of Consumer Cooperatives (BTEC)
Bachelor’s Degree, Accountancy and Data analysis
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