A summary of my academic background and professional development in data science, analytics, and machine learning.

 

Master’s Degree

Degree: Master of Science (MSc) in Management and Systems
Institution: New York University
Specializations: Database Technologies, Data Analytics, Applied Data Science
Graduate studies focused on statistical modeling, databases, analytics, and data-driven decision-making.

 

Bachelor’s Degree

Degree: Bachelor of Science
Institution: Arizona State University
Majors: Business Management, Business Administration
Coursework emphasized business analytics and quantitative analysis.

 

Professional Development & Certifications

Data Science & Machine Learning

  • Data Science & Machine Learning – University of Toronto
    Hands-on training in Python, SQL, Git, and machine learning including classification, regression, clustering, and feature engineering.

  • Data Analytics with Python – Ontario Tech University
    Python-based data analysis using Pandas, exploratory data analysis, data transformation, and analytical workflows.

  • Google Advanced Data Analytics – Coursera
    Applied statistical modeling, machine learning, and exploratory data analysis using Python and Tableau.

Cloud Computing & Artificial Intelligence

  • Cloud Computing & Data Science Certificate – Seneca Polytechnic
    Explored cloud-based data workflows and machine learning concepts using cloud platforms.

  • AWS AI Practitioner Challenge – Amazon Web Services (AWS) / Udacity
    Covered AI fundamentals, generative AI, Retrieval-Augmented Generation (RAG), prompt engineering, responsible AI, and AWS AI services.

  • Prompt Engineering for AI – BusyQA
    Applied prompt engineering for large language models, NLP concepts, and evaluation of generative AI systems.

Data Analytics & Business Intelligence

  • Data Analytics & Reporting with Power BI – Toronto Innovation College
    Built interactive dashboards using Power BI, DAX, Power Query, and relational data modeling.

  • Advanced Data Analytics Certificate – Skills for Change
    Completed an intensive, hands-on program focused on Python, SQL, R, and Tableau to perform exploratory data analysis (EDA), statistical modeling, and machine learning, while applying these techniques to solve complex business problems.