Anayansi Ramirez
Data Scientist @Expleo Group
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WORK HISTORY
Data Scientist @Expleo Group
Lecce, IT
Currently working on S.A.R.A, a project which aims to be a holistic research journey that studies the interrelationships of three sectors: Health, Agriculture, and Environment and provide a digital platform that collects data from various sources such as satellite images, social media, open data, and IoT devices. The platform will use data analytics to provide insights into how these sectors are interconnected and how they impact the well-being of individuals. For my current role, I have Implemented Machine Learning (ML) and Deep Learning (DL) algorithms for precise anomaly detection and accurate time series forecasting using python and a robust set of libraries including scikit-learn, LightGBM, Prophet, Neural Prophet, and TensorFlow. Additionally, I have crafted a set of intuitive web applications using Streamlit and Python, enhancing data accessibility and comprehension. These applications feature user-friendly interfaces enriched with interactive and animated plots, seamlessly integrated with geolocation functionalities. By simplifying the interpretation of complex datasets, these applications empower users to make informed decisions based on actionable insights.
EDUCATION
Università degli Studi di Trieste
Master of Advance Studies in Medical Physics, Medical Physics/Radiotherapy
Universidad de San Carlos de Guatemala
Bachelor of Applied Science - BASc, Physical Sciences
ABOUT ANAYANSI RAMIREZ
Up to now, I have explored the application of Physics in Medicine, more specifically in the field of Radiotherapy for treatments which use high energy X-ray beams, or radioactive sources to treat cancer-related conditions.Recently I\'ve come across the rapidly growing field of Data Science, which has had a positive impact on me since I have always been passionate about statistics and making sense out of data.Please feel free to share your recommendations, as I am slowly but steadily building my path around the areas of Data Science (including Data Analytics and Machine Learning) and Radiotherapy.
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