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Tulio Vargas

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As Data Scientist with a background in engineering and an MBA in Project Management and Business Technology, I specialize in leveraging data to drive business outcomes. With expertise in Python, Machine Learning, SQL, Azure, AWS, and data visualization tools, I have a proven track record of delivering data-driven insights that inform strategic decision-making. I reduce data collection time by automating data cleaning and preprocessing using Python scripts. This allows for more time spent on higher-level analysis and generating insights. Automating data validation and outlier detection also leads to more accurate analysis. Automating repetitive tasks using Python scripts frees up resources for other projects, resulting in cost savings. Overall, my Python automation work delivers value to my job and generates insights from complex datasets. Currently, I am working to create customer insights and build more business opportunities using Data Science, Statistics, and Business Intelligence. I showcase my coding skills and projects on my GitHub: https://github.com/tuliovargasrj/datascience > Data Science: Proficient in using Python for machine learning, deep learning and data analysis including, TensorFlow, Keras, PyTorch, NLTK, Scikit-Learn, Plotly, Pandas and PySpark. > Database Management: Experience with SQL Server, PostgreSQL, MySQL, MongoDB, as well as ecosystem Hadoop, and Spark. > Data Visualization: Skilled in creating clear and impactful data visualizations using tools like Tableau and Power BI to communicate data insights to stakeholders. > Business Acumen: Strong ability to translate data insights into actionable business recommendations and collaborate effectively with cross-functional teams. > Agile Methodologies: Experienced in using SCRUM and Kanban to manage data science projects and deliver results efficiently. > Web development: JavaScript, Html and CSS. I goals in problem-solving and finding creative solutions to complex problems. I also have strong communication skills, including the ability to present technical concepts in a clear and concise manner, and I'm experienced in collaborating with cross-functional teams. I'm always curious and willing to explore new technologies, programming laguagues and data sources to drive business value, and I have a strategic mindset to align data science projects with business objectives.

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