As a data analyst and geospatial professional with a passion for sustainable development and energy, I leverage my technical expertise to drive positive change. With a background in Geoinformatics and Surveying, I have spent over 2 years applying geospatial techniques to real-world problems, including spatial analysis, data visualization, and mapping. Additionally, my 8+ months of experience in data analytics has equipped me with skills in data manipulation, statistical modeling, and data storytelling.I am now transitioning into the energy and sustainable development sector, where I aim to apply my skills to combat climate change and sustain humanity. I am particularly interested in the intersection of data analytics, geospatial technology, and renewable energy, and I am excited about the potential of Generative AI (GenAI) and advanced technologies to transform the energy industry.Proficient in Python, I have experience working with popular libraries such as Spyder and Jupyter (Pandas, GeoPandas, and Matplotlib) and other analytical libraries. I am eager to expand my skillset and collaborate with like-minded professionals on initiatives that promote a cleaner, greener future for all. Let's connect and explore opportunities to optimize data-driven innovation and sustainable development in the geospatial and energy sector.