I am a responsible and passionate Data Scientist and a Ph.D. candidate in nanoelectronics with multinational working experience. I constantly strive to enhance my expertise in the fields of data analysis, visualization, machine learning, and large language models (LLMs).

● One Data - Data Scientist (2022 - present)

1. Data mining with API calls, working with SQL databases, preprocessing, and visualization in interactive dashboards using Python and Highcharts visualization library.
2. Development and support of customized apps for client and internal needs in our platform.
3. Application of LLMs for documentation Q&A using the RAG approach (Transformers, HuggingFace, LangChain, etc.). Company LLM hackathon winner (Aug 2023).

● Technical University of Berlin — Research Scientist, Ph.D. candidate (2017 – 2022)

TU Berlin is ranked as the 4th best technical university in Germany.

1. Python and LabVIEW for laboratory equipment automatization, sensor data gathering, post-processing and visualization, and time-series analysis.
2. Research on novel nanomaterials for semiconductive sensors.
3. Research on aluminum-graphene composites with enhanced properties.
4. 3D modeling and 3D printing for laboratory purposes, making courses for students.

● Korea Institute of Science and Technology — Research Assistant, M.Sc. (2016 – 2017)

In 2019, KIST ranked as the 13th most innovative research institution in the world [link].

1. Using Arduino, C++, and Python to process sensor signals.
2. Establishing and adjusting equipment for the lab.
3. Research on graphene-based nanomaterials and electronics.

● Short practical courses from Deeplearning.ai (2023)

LangChain Chat with Your Data, LangChain for LLM Application Development, Vector Databases: from Embeddings to Applications, Understanding and Applying Text Embeddings, Large Language Models with Semantic Search, Building Systems with the ChatGPT API, ChatGPT Prompt Engineering for Developers.

● Generative AI with Large Language Models, Deeplearning.ai and AWS (2023)

A 4-week theoretical and practical course about best practices on LLMs pipelines, fine-tuning techniques, prompt engineering, and many more.

● Large Language Models: Application through Production, Databricks (2023)

A 6-week practical-oriented course on LLMs pipelines, LangChain, fine-tuning, and prompt-engineering.

● Tripleten — Data Science Professional Training (2021)

A 9-month intensive boot camp (20h/week) that spans from SQL, API calls, data mining, and cleaning to deep learning with TensorFlow. Trained on 15+ educational real-life projects regarding tabular data, time-series forecasting, and natural language processing.

● Practicum in mathematics and Python, online learning course (2015)

Python for math, OOP, Pandas, NumPy, and visualization with Matplotlib, Seaborn, and Plotly.

● Introduction to Python, Microsoft edX course (2015)

● “Shag” private programming school, Ukraine (2011)

C++, OOP, computer hardware, network structure, and protocols.

● Ph.D. in Nanoelectronics, TU Berlin, Germany (2017 – 2022)

TU Berlin is ranked as the 4th best technical university in Germany.

● M.Sc. in Nanoelectronics, dual degree program between Korea & Ukraine (2017)

Dual degree Master’s program between one of the most innovative research institutions in the world [link], and the best technical university in Ukraine: Korea Institute of Science and Technology & Kyiv Polytechnic Institute.

● Nanoelectronics Summer Internship, Brno University of Technology (2015)

Brno University of Technology is ranked as the 2nd best technical university in the Czech Republic.

● B.Sc. Nanoelectronics, Kyiv Polytechnic Institute, Ukraine (2015)

The best technical university in Ukraine.

● English (Fluent)

● German (B1-B2)

● Ukrainian (native)

● Russian (native)

● One Data company-wide LLM hackathon winner 2023

● Dual degree program between Ukraine and South Korea 2016 -2017.

● Ph.D. Scholarship 2017 at the TU Berlin

3D modeling and 3D printing of radio-controlled quadcopters and airplanes.