Position: ML Engineer / Data Engineer
Category: Data Science
English level: fluent
Years of experience: 3

- Optimization of big data data flow to decrease costs up to 400 times (1TB to )
- Development of models is capable of turning cash flows up and costs down. 
- Creation of models with a higher level of metrics than previous solutions, required by business
- Automating handwork to cost optimize processes in business, saving thousands dollars per week. 
- Leading developers to accomplish tasks and documenting business processes to bring light of business vision to development team for right direction.
- 400+ solved leetcode problems
- 150+ solved strata problems
Experienced Software Engineer with 3 years of Machine Learning and Data Engineer, specialised in Retail, Banking, Telecom, Creative fields. And have experience as Data engineer with rolling big data for pipeline (ETL, ELT). 

As a machine learning engineer, I have experience in developing end-to-end machine learning solutions. I am familiar with the entire machine learning pipeline, from data collection and preparation to model training and deployment.

My team was realising scoring models, business reports, monitoring churn models. A data-driven data scientist with highly adaptive skills in analysis and investigation. Have a strong problem-solving skills, critical skills and the ability to accomplish complicated tasks.  Easily can speak with international clients to complete End-to-End Machine learning projects.
I expect experienced CTO, responsible and mature colleagues, who can take ticket tasks and accomplish them. I respect team, who is thinking of one's turn to read their code (do not forget about documentation). The team is able to delegate tasks and strive for knowledge.

Deployment and designing of models for highly data intensive workloads (end-to-end). Working with AWS, maintaining Big Data.