Raman S., Data Scientist/ Machine Learning Engineer
B2 (Upper-Intermediate) English
Senior (5-10 years)
Poland
UTC+01:00
Summary
- Senior Python/ML Engineer with 10+ years in IT and 8+ years of professional Python experience;
- Experienced in API and backend development with Python, data processing using Pandas/NumPy, and automation scripting;
- Deep SQL expertise, including query optimization and database operations;
- Experience with Apache Airflow, Apache Kafka, and Apache Spark/PySpark for data processing and workflow orchestration;
- Strong Skills in ML/NLP frameworks such as TensorFlow, PyTorch, BERT, NLTK, and spaCy;
- Extensive AWS experience (S3, Athena, EMR, Redshift, SageMaker) and Kubernetes for scalable deployments;
- Built and deployed end-to-end ML pipelines and integrated AI solutions into business workflows;
- Leadership as an ML engineering team lead.
Main Skills
AI & Machine Learning
Programming Languages
Java Frameworks
Scala Frameworks
Python Libraries and Tools
Data Analysis and Visualization Technologies
Databases & Management Systems / ORM
Cloud Platforms, Services & Computing
Amazon Web Services
Web/App Servers, Middleware
SDK / API and Integrations
Deployment, CI/CD & Administration
Third Party Tools / IDEs / SDK / Services
Logging and Monitoring
Message/Queue/Task Brokers
Virtualization, Containers and Orchestration
Other Technical Skills
Experience
Senior Data Scientist, NDA
Duration: Jan. 2024 - Present
Summary: Leading data science initiatives within a global technology consultancy. Focused on designing, developing, and deploying advanced machine learning solutions to meet diverse client needs. Collaborating with cross-functional teams to translate business requirements into data-driven models and actionable insights.
Key Responsibilities:
- Designed and implemented ML models to address complex client challenges;
- Led end-to-end data science workflows, from data preprocessing to model deployment;
- Ensured scalability and maintainability of solutions through best engineering practices;
- Coordinated with stakeholders to align model outputs with business KPIs.
Technologies: Python, TensorFlow, AWS, Kubernetes, MLflow, CatBoost.
Data Science Team Lead, SOFTCORP
Duration: Mar. 2021 - May 2024
Location: Limassol, Cyprus · Remote
Summary: Led the development of an analytical platform in the gambling and betting domain. Oversaw a team delivering predictive solutions to optimize key metrics such as LTV, RPU, and margin. Developed analytical and optimization models to prioritize achieving business requirements across various games.
Key Responsibilities:
- Architected and led the implementation of a large-scale analytical platform;
- Built predictive models to forecast user behavior and enhance player retention;
- Created optimization frameworks to balance multiple business KPIs;
- Directed a cross-functional team through the full cycle of data science project delivery;
- Ensured system scalability and performance in a high-load production environment.
Technologies: AWS, Kubernetes, Kubeflow, MLflow, TensorFlow, CatBoost.
Senior Machine Learning Engineer, Visutechplating
Duration: 2021 - 2023
Summary: Technical lead and architect of an ML platform for industrial equipment and IoT. Led development of digital twins and optical quality control systems, reducing defects threefold and cutting electricity consumption by ~10%.
Key Responsibilities:
- Designed and implemented ML pipelines for automatic optical quality inspection of products;
- Developed digital twins for industrial equipment to simulate and optimize production processes;
- Architected scalable deployment using AWS services;
- Led a cross-functional team to integrate AI into production lines.
Technologies: Python, TensorFlow, Kafka, Eclipse, MQTT, AWS (EC2, ECR, SageMaker, Timestream).
Data Science Team Lead, Softcorp
Duration: 2020 - 2021
Summary: Led analytics platform development for gambling and betting industry. Built models to predict user behavior and optimize game performance, increasing bets by 15%.
Key Responsibilities:
- Designed predictive models to optimize LTV, RPU, and margin;
- Developed prioritization algorithms for game recommendation systems;
- Managed team of data scientists to deliver production-ready models;
- Integrated analytics pipelines into Kubernetes-based infrastructure.
Technologies: AWS, ClickHouse, Kubernetes, Airflow, Kubeflow, MLflow, TensorFlow, Grafana, Power BI.
Machine Learning Engineer, GFAIVE
Duration: 2018 - 2020
Summary: Developed predictive models for purchase and sales forecasting, doubling conversion rates for targeted customers.
Key Responsibilities:
- Built ML algorithms to forecast customer churn and purchasing patterns;
- Developed optimization models for ad impressions;
- Delivered end-to-end data science solutions from preprocessing to deployment.
Technologies: Python, R, Gurobi, TensorFlow, Keras.
Head of Geospatial Information Research Department, Military Research Institute
Duration: 2011 - 2018
Summary: Led automation of geospatial data acquisition and processing for military applications, reducing map digitization time by 30%.
Key Responsibilities:
- Conducted research on automated geospatial data retrieval from multiple sources;
- Developed digital mapping and navigation solutions for weapons systems;
- Managed data integration from satellite, aerial, and ground sources.
Technologies: C++, OpenCV, OpenStreetMap, ArcGIS.
Coach, IT-Academy (Data Science)
Summary: Trained students in Data Science, guiding them through theory, practice, and diploma projects. All graduates secured positions in IT.
Key Responsibilities:
- Delivered theoretical and practical classes;
- Supervised final projects and prepared students for employment.
Technologies: Python, TensorFlow, PyTorch, PySpark, Keras.
Education
- PhD, Weapons theory, military-technical policy (2012/2015);
- Military Academy, Master of Technical Sciences (2010/2011);
- Military Academy, Radio and Satellite Telecommunications Engineer (2000/2004).