Hello, Witold1 is here! You might recognize me from my involvement in various analytical projects, insightful blog comments, and captivating DataViz products. Below, you'll find a selection of open projects that I believe are worth sharing from my previous experiences.
If you're interested in collaborating on projects that require joint expertise or need recommendations regarding data sources and data processing, don't hesitate to reach out.
Currently, I am excelling in Sales-Strategy-Operations, and Business Intelligence practices at a local automotive company that operates across the Midwestern USA, where I boost sales of niche cars with data-driven strategies as well as contribute to analytical infrastructure. Prior to this role, I held a position in the Business Intelligence and Data Services team at the leading North America automotive FinTech-F&I Platform headquartered in metro Detroit. Prior, I have gained valuable professional experience in the Advanced Analytics and Data Science team of a prominent R&D Intelligence consulting firm in Europe.
| ✅ Project | 🗄️ Contribution |
|---|---|
| 🛰️ .py 3D Visualization of LiDAR datasets [2023] | Developed a Python pipeline for processing and visualizing geo-featured point clouds, including converting raw clouds to raster grids and applying hill shading techniques. |
| 🗺️ Geospatial visualizations of parks and parkings [2023] | Researched and visualized the locations, proximities, and shares of parks and parkings in multiple urban downtowns. Developed a custom gathering and processing pipeline for data extraction and processing. |
| 📝 Mixed dataset analysis [2022] | Analyzed a mixed dataset containing texts, geo-locations, and trends in web search. Estimated social stress using available features as a proxy. |
| 🚙 CAV and AV testing operations analysis [2022] | Visualized trends in the testing of autonomous vehicles, specifically in the utilization of inventory and testing locations. Prepared an executive presentation in PowerPoint format. |
| 🚇 Subway usage dataset analysis [2022] | Analyzed trends in the usage of a subway system in a large city. Developed a data pipeline and conducted time series analysis. |
| ✅ Project | 🗄️ Contribution |
|---|---|
| 🚔 'Detroit Crime Space' [2020] | Implemented the data-analytical pipeline for monitoring criminal offenses in a big city. |
| 🐶 Kaggle/Generative Dog Images GAN competition [2018] | Developed a data exploratory notebook that received high ratings from the community (1500+ views, bronze medal). |
| 🏦 Kaggle-like/Data Science track, Changellenge CUP-IT 2019 case competition [2019] | Built a baseline for text classification on imbalanced data for one of the largest European banking groups. |
| European BigTech company test task [2018] | Wrote a data gathering script from the web, conducted exploratory data analysis (EDA) on a time series dataset, and provided commentary on the logic of business processes. |
| 📜 Patent Analysis minimalistic pipeline [2019] | Implemented examples of a processing routine for patent analysis methodology using Python and API-based NLP services for Named Entity Recognition (NER) tasks. |
- Analysis of people web messenger chats data: A small system for analyzing anonymized data from real dialogues between people. This project involved extracting insights and patterns from the chat data to gain a deeper understanding of human communication dynamics.
- 🤖 [Private works] Custom, specifically tailored, & on-demand web parsers and crawlers to boost data-driven decision-making opportunities. Designed and implemented scripts, robots, and automated solutions for extracting, organizing, and visualizing data from various marketplaces, classifieds platforms, and review aggregators.
(text curated with LLMs)