Summary of Qualifications Small & Big Data Analysis Software Development High Energy Physics (HEP) Frameworks Results-oriented, data-driven, analytical professional with over ten years of experience in data analysis, software development, and scientific research. Proven expertise in performing distributed big data analysis, implementing innovative research methods, and applying tools to solve problems. Recognized as an expert in the design, development, and optimization of PB scale data analysis. Skilled in managing projects and leading teams. Proficiency in multiple programming languages, complemented by extensive training in data science and machine learning algorithms. * Data Processing Distribution * Data Analysis Codes * Exploratory Data Analysis * Statistical Data Treatment * Distributed Data Analysis * Machine Learning Algorithms * Simulation Tools * Front/Back-End Development * Project Management * Team Leadership * Data Quality * Quantitative Skills Key Achievements * Excellent academic qualifications, complemented by strong technical proficiency in multiple programming languages, tools, and software applications. * Extensive training in data science and machine learning algorithms. * Strong quantitative skills, with proficiency in acquiring and cleaning data from multiple sources. * Proven expertise in developing a front- and back-end electronics communication database. * Recipient of the High Energy and Particle Physics Prize in 2013 for the ATLAS experiment. Transitioning from academia to industry 2016 - Present Currently receiving training in data science including: data acquisition and cleaning exploratory data analysis statistical inference machine learning scientific computing and R programming language.

Highlights:

• Data Science
• Machine Learning
• Data-driven
• Data Analysis
• Research
• Exploratory Analysis
• Data Processing
• Documentation