Decoding the Cosmos: Exploring Black Holes, Neutron Stars, and Data-Driven Insights.
Passionate about high-energy astrophysics, with a strong research background in general relativity and compact objects like neutron stars and black holes. My work focuses on understanding high-energy emissions as probes of these extreme astrophysical environments.
Beyond astrophysics, I am an analytical and detail-oriented Data Analyst, skilled in Python, TensorFlow, statistics, and machine learning. With expertise in data analysis, visualization, and web scraping, I extract meaningful insights from complex datasets using **NumPy, SciPy, Pandas, Matplotlib, and BeautifulSoup.
Additionally, I have experience in image processing and manipulation using GIMP and SAOImage DS9, along with AI-based image colorization via TensorFlow. I am also proficient in Arduino programming and have a self-taught foundation in C++.
Driven by problem-solving and innovation, I seek opportunities to apply data-driven solutions and computational techniques in astrophysics, research, and beyond.
Work Terms
1) I am available for up to 5 hours per day on a project. If the work is urgent and I am free, I can extend my hours as needed.
2) I value clear communication to ensure that my work aligns with the client’s expectations. At times, I may ask clarifying questions—even if they seem simple—to stay on the right track and deliver exactly what is needed.
3) I am committed to delivering high-quality, data-driven solutions with efficiency and attention to detail.