Position: Data Scientist | ML Engineer
Category: Data Science
English level: intermediate
Years of experience: 4

My latest roles:

- **Delivery Manager / Data Scientist**. Since 2010, leading a team of engineers to build business automation software for large retail customers. I own a full cycle from product discovery and customer development to defining product specs, milestones, acceptance, post-sale delivery, integration, and support. Given my passion I also work as a hands-on Data Scientist for my team’s projects. I’m responsible for my business unit’s revenue overall, which I doubled in the past five years.

- **Founder, Data Analyst & Engineer**. I'm helping small retail businesses manage inventory with my product, used by over 100 retail micro spots across the country. It’s an Android barcode scanner app with a server-side back-end and advanced reporting (JS, Python, PostgreSQL). Beyond all the business development, I designed the product, defined specs, hired and managed freelancers to iteratively build the software. Worked as a hands-on engineer to develop the server-side admin modules (Django) that include data analytics (SQL, Pandas, Seaborn) for our customers.

**My strengths:** Soft skills, ownership, leadership, breadth of knowledge, and end-to-end software product development experience – from conception to post-sale integration and customer service.

**Area of improvement:** English – currently Intermediate, working with my personal coach several times a week on an aggressive learning path.
**I have over 15 YOE taking leadership roles in software & hardware development.** In the past 4 years, I became passionate about the future of AI, so I started getting back to IC work, refreshing my tech skills, and taking on projects as a hands-on Data Scientist / Machine Learning Engineer.

** Projects** – a few recent examples:

- **NLP**: An emotion detection system that tracks customer support quality within chat conversations and social media. Lots of work with the training data and fine-tuning RoBERTa for our NLP task.

- **CV**: A computer vision system for food object detection and classification. As applied to sorting and quality control within large food manufactories in Ukraine. TensorFlow, OpenCV, YOLO for object detection, video capture, etc.

I used my approach from both projects on public datasets and scored #1 in accuracy on Kaggle in each of them (inquire me to get two links in my resume).
I’m interested in DS roles at international companies that have a potential for me to scale into a Data Science Manager in the future.