Hello 👋🏻 I'm
Piotr Laczkowski
Head of Data Science, PhD 🎓
🚀 Driven and dynamic R&D Engineer/Data Scientist with a strong aptitude for solving intricate problems and mastering complex concepts. As a swift learner with a solid scientific foundation (PhD in Experimental Physics), I bring extensive experience from high-stakes, cutting-edge tech projects, including a significant tenure in MLOps. 💡 My professional interests span across Artificial Intelligence and Machine Learning, Big Data, software development, and Data Mining. I'm continually seeking opportunities in fast-paced start-ups to leverage my skills 🚀. 🤝 I pride myself on being a team player with a good sense of humor, bringing a positive and engaging dynamic to any team. I am meticulous, results-driven, and possess excellent communication skills 📣. 🔄 With a passion for knowledge sharing and exchange, I foster an environment of continuous learning and growth. 🌱
I really enjoy creating various things and programming languages give me lot's of power and flexibility to do so. Starting with simple automation and ending with some complex ML intelligent solutions.
I am constantly learning about how to improve my approach, solutions and how to use state-of art technology to solve problems at hand.
I am constantly improving everything I do and everything I work on, either by sharing the knowledge with the team, coding, learning or just writing blogs
I have developed many python projects in order to automatize various tasks (data-analysis, reporting, plotting etc..), to control sophisticated measurement pipeline with a simple used interface (GUI) or centralize the acquired data in a dedicated database.
View Details⚙️ Tech Stack:Python, Git, TinyDB, HTML
Build a reverse image search engine to be able to visually recognise a given product based purely on its image.
View Details📈 KPIsAccuracy of the algorith reached 98% !
⚙️ Tech Stack:FastAPI, ElasticSearch, Python, Tensorflow 2, Git, Airflow, Snowflake
This project was related to a smart pricing engine for a pseudo-unique items sold on an e-commerce platform. This project made use of various models ranging from more to less explaiable: i.e. Probabilistic Bayesian Regression.
View Details📈 KPIsPrediction of sold price accuracy was: 70% !
⚙️ Tech Stack:ElasticSearch, Python, Tensorflow 2, AWS Sagemaker, Git, DVC, Airflow, Snowflake, TinyDB
The goal of this project was to match a text provided by the client to a product on the e-commerce platform. The main difficulty was related to the fact that this text was a free entry field and necessary information needed to be extracted directly from it. Support for 6 different languages and various type of products needed to be implemented.
View Details📈 KPIsConversion Rate Uplift: +5% !
⚙️ Tech Stack:Python, scikit-learn, Airflow, Snowflake, TinyDB
With all the quality KPIs followed on the e-commenrce platform, for 6 different countries and x nr_merchants we need an automatic anomaly detection and alerting system.
View Details📈 KPIs70% more problems were anticipated that without the alerting technology!
⚙️ Tech Stack:Python, Slack, scikit-learn, Airflow, Snowflake, Docker
Project aim was to extract colors (and their precise vectors RGB) of an object in the provided photo.
View Details📈 KPIsPrecision@2: 95% !
⚙️ Tech Stack:Python, OpenCV2, Airflow, Docker, HTML, Snowflake
Project aim was to separate the object from it's original background and represent it on the unified white background following the style-guide of the e-commerce platform.
View Details⚙️ Tech Stack:Python, Tensorflow 2, Pixellib, Airflow, Docker, Keras, Snowflake
Project aim was to detect a potential payment fraud on the e-commerce platform.
View Details⚙️ Tech Stack:Python, Tensorflow 2, Airflow, Docker, Keras, Snowflake
Project aim was to rank the most important products to be curated on the backend of an e-commerce platform and focus the efforts needed to account for potential problems in a smart way (increasing the total GMV).
View Details⚙️ Tech Stack:Python, Airflow, Docker, Snowflake