FastAnomDetect
Anomaly detection in financial transactions using C++ and machine learnig.
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I hold a Bachelor’s degree in Applied Mathematics and I am passionate about turning data into meaningful insights for decision-making. I enjoy working with Python and R on data analysis, applied statistics, and machine learning projects, covering the full process from data cleaning to result interpretation and communication. I have experience working with real-world data and a strong mathematical background that allows me to approach problems in a structured and critical way. I am currently seeking opportunities as a Data Analyst or Junior Data Scientist, where I can continue learning and contribute value through data-driven solutions.
Anomaly detection in financial transactions using C++ and machine learnig.
View codeAn application for the operation and management of activities in a pharmaceutical establishment.
View codeAn application for the operation and management of activities in a pharmaceutical establishment.
View codeFeel free to write to me at said.tecpa.juarez@gmail.com