Oleksandr Smyrnov
@oleksandrsmyrnov
Junior Data Scientist with CRM background, specializing in ML, NLP, and model deployment.
What I'm looking for
I am a Junior Data Scientist with a seven-year background in international IT projects as a CRM developer, now focused on machine learning, NLP, and recommendation systems.
I have hands-on experience building and deploying models using Python, TensorFlow, PyTorch, and scikit-learn, and I have implemented deployment solutions with Docker, Streamlit, and Flask.
My projects include a bank customer churn model (AUC-ROC 0.866, Recall 0.75) and an IMDB sentiment classifier (F1 0.91), both demonstrated with live Streamlit apps.
I bring strong analytical and problem-solving skills, proven ability to optimize systems (e.g., reduced processing time by 30% in CRM), and a goal to deliver data-driven solutions that create measurable business impact.
Experience
Work history, roles, and key accomplishments
Siebel CRM Developer
Areon Consulting
Oct 2018 - Present (7 years 4 months)
Configured, maintained, and optimized Siebel CRM for international clients, reducing a core script's processing time by 30% and enabling launch of a new mobile application. Provided troubleshooting and user support across projects including Konecranes (Finland).
Junior Data Scientist
Self Employed
Developed and deployed ML and NLP projects including a bank churn XGBoost model (AUC-ROC 0.866, recall 0.75) and an IMDB sentiment classifier (F1 0.91), delivering end-to-end pipelines and Streamlit deployment demos. Performed EDA, feature engineering, and hyperparameter tuning to improve model performance.
Education
Degrees, certifications, and relevant coursework
GoIT (IT School GoIT)
Data Science and Machine Learning
2025 - 2025
Completed a Data Science and Machine Learning program covering practical ML, NLP, and model deployment techniques.
National Technical University of Ukraine “Kyiv Polytechnic Institute”
Master of Science, Electronics and Electronic Systems
2012 - 2018
Master of Science in Electronics and Electronic Systems completed with coursework in electronics and systems engineering.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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