Data Science:

Conducted research in Exploratory Data Analysis (EDA), Data Visualization, and applied techniques in Machine Learning, Natural Language Processing (NLP), Deep Learning, and Reinforcement Learning using Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow/PyTorch, and OpenAI Gym.

Embedded Systems & FPGA:

Using a Xilinx FPGA board and VHDL programming to explore FPGA architecture, deepen understanding of embedded system design, and apply workflows to real-world projects.

Software Defined Radio (SDR):

Leveraged RTL-SDR hardware, SDR Sharp, and GNU Radio to analyze a variety of wireless signals (AM/FM, ADS-B, weather satellites, etc.), create custom flow graphs, and decode transmitted data.