Exploratory Data Analysis
Analyzing relationships between variables, distributions, outliers, and trends using Python, pandas, and visualization libraries.
View project →Former HPE Project Manager and Business Analyst with a technical background, currently pursuing a Master of Management in Analytics at McGill University.
I am a postgraduate student in McGill University's Master of Management in Analytics program, with previous experience as a Project Manager and Business Analyst at Hewlett Packard Enterprise, as well as experience supporting engineering education at Tecmilenio University. I enjoy working at the intersection of business, technology, and data—turning complex information into structured analysis, practical solutions, and clear communication.
I bring a combination of project coordination, business analysis, technical problem solving, and teaching experience. My background helps me understand both the technical details of a solution and the business context required to make it useful.
Building stronger analytics and data management skills through hands-on projects while preparing for roles in business analytics, data analysis, project delivery, and technology-driven decision-making.
Developing advanced skills in business analytics, programming, statistics, databases, data modeling, visualization, and data-driven decision-making.
Coordinated technical initiatives, analyzed business and operational needs, organized project information, and connected technical teams with practical business outcomes.
Supported engineering education by guiding students, explaining technical concepts, encouraging problem solving, and helping connect academic learning with professional development.
Analyzing relationships between variables, distributions, outliers, and trends using Python, pandas, and visualization libraries.
View project →Using relational data and SQL queries to summarize customer behavior, product performance, and business patterns.
View project →Evaluating alternatives under uncertainty using expected value, variance, probability distributions, and clear explanations.
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