Borys — Data Science Engineer

Work Experience

Data Scientist (CV), E-commerce Data Analysis and Visualization

Duration: July 2021 - present
Summary: Conducted in-depth data analysis for E-commerce services, created interactive dashboards with Tableau, and implemented a custom ETL solution for data infrastructure enhancement.
Responsibilities: Comprehensive data analysis, ETL solution development, interactive dashboards creation
Technologies: Python, ChurnZero, MySQL, AWS RedShift, Requests, SQLAlchemy, Tableau

Data Scientist (CV), NLP Chat-bot and Product Recommendation

Duration: July 2021 - present
Summary:

• Implemented a Chat-bot for user interaction and product recommendation utilizing OpenAI GPT models including GPT-3 and GPT-4
• engineered a vector search and an API within a Docker container

Responsibilities: Preprocessing dataset, prompt engineering, vector search implementation, API creation
Technologies: Python, OpenAI, GPT-3, GPT-4, Chat GPT, Langchain, Docker

Data Scientist (CV), OpenAI Model Fine-Tuning for Text Classification

Duration: July 2021 - present
Summary: Implemented OpenAI model fine-tuning for text classification, developed an API for model updating and serving.
Responsibilities: Training data creation, dataset preparation, model fine-tuning, API development
Technologies: Python, OpenAI, GPT-3 (davinci, curie, babbage, ada)

Data Scientist (CV), OpenAI Chat-like Interaction Research

Duration: July 2021 - present
Summary: Researched and created proofs of concept for OpenAI models' chat-like discussion capabilities, used few-shot learning and fine-tuning approaches.
Responsibilities: Training data engineering, model fine-tuning, inference testing
Technologies: Python, OpenAI, GPT-3, GPT-4, Chat GPT, Langchain

Data Scientist (CV), Logistics Route Optimization

Duration: July 2021 - present
Summary: Conducted exploratory data analysis and deployed machine learning solutions for optimizing logistic routes via statistical and ML models.
Responsibilities: Data engineering, EDA execution, groups division for target data, data visualization research
Technologies: Python, Pandas, SciPy, Sklearn, Matplotlib, Plotly, Prophet, BigQuery

Data Scientist (CV), Real Estate Image Classification

Duration: July 2021 - present
Summary: Resolved multi-label classification tasks for room type and features identification from images in the real estate industry.
Technologies: Python, Tensorflow, Google Vision AutoML, Image multi-label classification, Docker, Flask

Data Scientist (NLP), Semantic Text Similarity Service

Duration: July 2021 - present
Summary: Developed a Semantic Text Similarity service to assist with the reduction of localization costs by grouping semantically similar strings prior to translation.
Technologies: Python, Tensorflow, Docker, USE, FastAPI, SQL, tf-serving

Data Scientist (NLP), Morphology Analysis Service

Duration: July 2021 - present
Summary: Developed a morphology analysis service covering POS-tagging, NER, lemmatization, and glossary extraction to maintain consistency in translations.
Technologies: Python, Spacy, nltk, Docker, Flask

Data Scientist (NLP), Translation Alignment Service

Duration: July 2021 - present
Summary: Created a service for aligning translations without identifiers to the source strings in localization management platforms.
Technologies: Python, Tensorflow, USE, Clustering, Flask, Docker, tf-serving

Data Scientist (Recommender systems), Online Retail Product Recommendations

Duration: July 2021 - present
Summary: Developed product recommendation systems for online retail using implicit feedback, performed A/B testing, and developed a model serving application.
Responsibilities: Recommendation system development, model offline and online evaluation, model serving app development
Technologies: Python, GCP, Tensorflow, Kubeflow

Data Scientist, SIEM System Enhancement

Duration: January 2020 - July 2021
Summary: Enhanced the Company's SIEM system with scalable and supportable software, including the development of ML models for network attack detection and feature engineering.
Responsibilities: Unsupervised and supervised ML models development, feature engineering, model training and evaluation
Technologies: Python, ELK stack, scikit-learn, XGBoost

Education

• Bachelor’s Degree in Cybersecurity Engineering
  Ternopil Ivan Puluj National Technical University
  
• Master’s Degree in Cybersecurity Engineering
  Ternopil Ivan Puluj National Technical University
  
• Ongoing PhD in Computer Science
  Ternopil Ivan Puluj National Technical University
  

Certification

• Kyivstar Big Data School 4.0
  Program of the school introduces students to major concepts and techniques of data science process: predictive analytics and machine learning at scale, big data tools and technologies, basics of business analytics
  2019
  
• Data Science Camp Offline ML course at SmartInsight
  2021
  
• Introduction to Recommender Systems: Non-Personalized and Content-Based
  Coursera
  2022
  
• Nearest Neighbor Collaborative Filtering
  Coursera
  2022
  
• Convolutional Neural Networks in TensorFlow
  Coursera
  2022
  
• Natural Language Processing with Classification and Vector Spaces
  Coursera
  2023
  
• Natural Language Processing with Probabilistic Models
  Coursera
  2023