Adam Sulik · Portfolio

Resume

MSc, Applied Physics: Data Science and Interdyscyplinary Modeling, Warsaw University of Technology
2021 - 2022
Studies focused on data science, machine learning, and mathematical modeling applied to physics and interdisciplinary research. Developed skills in data analysis, statistical modeling, and AI. Master's thesis on network science and complex systems.
BSc Eng. Applied Physics, Warsaw University of Technology
2017 — 2021
Gained a strong foundation in theoretical and experimental physics, mathematics, and computer science. Developed problem-solving and analytical skills through rigorous scientific research. Bachelor's thesis explored the application of statistical physics methods in interdisciplinary domains.

Data Science, Freelancer
2024 — Present
• Delivered data science solutions to enhance production and business processes through machine learning and algorithmic optimization. • Developed and implemented LLM model applications to streamline operations and improve processes efficiency. • Applied Python, cloud computing, and statistical modeling to drive efficiency and automation.
Quantitive Researcher, TradeLink LLC
2023 — 2024
• Developed and optimized quantitative trading strategies using statistical modeling and data analysis. • Conducted time-series forecasting and market data analysis to identify profitable trading opportunities. • Applied Python, Linux, and numerical computing for research and backtesting.
Scientific Researcher, Warsaw University of Technology
2021 — 2023
• Conducted advanced research in network science and complex systems, applying mathematical modeling and data analysis. • Developed and implemented data-driven models to study sociological and economic phenomena. • Worked on a collaborative research project ("Alphorn") with ETH Zurich, analyzing large-scale network datasets.
Data Scientist | Audio Intelligence, Samsung R&D Artificial Inteligence Department
2021
• Developed deep learning models for audio signals within AI Team • Built deep learning models for audio classification • Developed neural network architectures for real-world AI applications. • Collaborated on cutting-edge AI research in an enterprise environment.