Ana Carolina Acuña Escobar  new_releases

I am a Data Scientist with a background in computer and systems engineering and currently pursuing a Master's degree in Astrophysics. With over four years of research experience and more than two years dedicated to data science, my expertise lies in digital signal processing, statistical analysis, big data visualization, and natural language processing (NLP), primarily utilizing Python. In my research projects, I have applied these skills to study the behavior and physical composition of galaxies through digital signal processing, image analysis, and analysis of astronomical spectra. Additionally, I have developed a real-time classifier with over 500 classes using machine learning and text processing techniques. Throughout my academic and professional journey, I have demonstrated adaptability, independent work capabilities, and effective collaboration in interdisciplinary teams. Proficient in Python libraries such as NumPy, Pandas, Scikit-learn, and TensorFlow, I am experienced in handling large datasets on cloud computing platforms like Google Cloud Platform and AWS. I am seeking new challenges in data science to leverage my technical skills, research background, and passion for extracting insights from data to drive meaningful business outcomes. With a commitment to continuous learning and staying updated with the latest advancements in the field, I am equipped to tackle complex data challenges and deliver actionable insights. In summary, I am a skilled and motivated Data Scientist with expertise in computer and systems engineering, complemented by a strong foundation in astrophysics research. My proficiency in various data science techniques and tools, coupled with a problem-solving mindset, enables me to tackle complex data problems and provide valuable insights.