Position: MLOps Engineer
Category: Data Science
English level: upper
Years of experience: 3


MLOps Engineer - PASHA Bank OJSC [ 01/01/2023 – Current ]
City: Baku
Country: Azerbaijan
Responsibilities:
- Successfully migrated seven ML models to the Dataiku Platform by applying MLOps best practices
- Implemented automated monitoring and alerting systems to ensure the health and performance of deployed machine
learning models
- Actively participated in knowledge sharing and peer reviews, fostering a culture of continuous learning and improvement
within the MLOps team
Skills: MLOps · Dataiku DSS · Python (Programming Language) · Knowledge Sharing · Bash · PostgreSQL

Data Scientist - PASHA Bank OJSC [ 22/11/2021 – 30/12/2022 ]
City: Baku
Country: Azerbaijan
Responsibilities:
- Redeveloped product recommendation engines for seven different Banking products (ML models, RFM, and Rule-Based
approaches)
- Developed and constructed data pipelines to be used in the model, ensuring efficient and effective flow of data for analysis
and modeling purposes
- Implemented a hyper-parameter optimization package using Optuna to improve the performance of the recommendation
engines
Skills: Python (Programming Language) · Bash · Data Operations · Research and Development (R&D) · Machine Learning ·
Oracle Database · PostgreSQL · Data Science

Data Scientist - International Bank of Azerbaijan [ 01/12/2020 – 19/11/2021 ]
City: Baku
Country: Azerbaijan
Responsibilities:
- Demonstrated expertise in manipulating large datasets using statistical and numerical languages
- Communicated analytical solutions to stakeholders on how to leverage data-driven insights and recommended necessary
improvements
- Conducted extensive research on various machine learning approaches, including reinforcement learning, unsupervised
learning, and recommendation systems, to develop a comprehensive understanding of the latest industry trends and best
practices
- Built Recommendation System using advanced techniques such as Matrix Factorization, Clustering Based model, and
implemented Deep and Cross network via TFRS to offer a product that customers most likely to buy and increased conversion
rate from 4 to 16 %
Skills: Python (Programming Language) · Research and Development (R&D) · Machine Learning · Data Science · Data Analysis · TensorFlow
I value maintaining a healthy work-life balance and strive to avoid situations where it becomes imbalanced. Additionally, I am not comfortable with excessive micromanagement.

I deeply appreciate and respect trust within the work environment, as it encourages collaboration, innovation, and a sense of ownership.

However, I am not particularly inclined towards the practice of time tracking during regular working hours, as I believe it can sometimes hinder productivity and creativity.