I am an Economist and Data Analyst with a passion for problem-solving, automation, and process optimization. My expertise lies in data analysis, business intelligence, and automation, leveraging technology to improve decision-making and operational efficiency.
With a keen analytical mindset and a strong grasp of economic principles, I specialize in gathering, interpreting, and transforming complex data into actionable insights. My skills in Python, SQL, Power BI, and automation tools allow me to streamline processes, optimize workflows, and build data-driven solutions.
I am highly skilled in machine learning, econometrics, and statistical modeling, enabling businesses to identify trends, improve forecasting, and enhance performance. Beyond technical expertise, I excel at communicating insights and working collaboratively with teams to implement solutions.
• Data-driven Accounts Receivable (A/R) specialist with expertise in analyzing financial results, identifying trends, and generating actionable insights for strategic decision-making.
• Optimized A/R processes by analyzing key metrics, identifying improvement opportunities, and implementing data-driven solutions.
• Developed and maintained advanced reporting and dashboards to track A/R performance, providing executive stakeholders with clear, data-backed insights.
• Led the analysis of Q2C accounts data across Canada and the Caribbean for all IBM business units, transforming complex financial data into meaningful reports and strategic recommendations.
• Acts as a first point of contact for regular, on-going customer accounts and some "top-tier" customers, on daily operational matters.
• Resolves operational issues that may arise from the end-to-end sales process (e.g., order status, returns, and deliveries, invoicing, returns, and financial post- sales programs).
* Engages with other functions and organizations to resolve issues (e.g., sales teams, supply chain, logistics) as they relate to customer support.
• Acts as a point of contact for a specialized topic (e.g., order management, special pricing) and trains team members.
• Contributes to efforts to optimize current processes, often collaborating with other groups within HP to improve day-to-day activities.
• Represents team as a subject matter expert on internal processes to other functions and organizations.
• Contributes to efforts to optimize current processes, often collaborating with other groups within HP to improve day-to-day activities.
• Represents team as a subject matter expert on internal processes to other functions and organizations
- Data Visualization with Python - IBM
- Docker Essentials: A Developer Introduction - IBM
- Python 101 for Data Science - IBM
- SQL and Relational Databases 101 - IBM
- Data Science Tools - IBM