Empowering Canadian SMEs: Financial & Operational Insights
Shabana Yasmin
In this project, I conducted a thorough financial and operational analysis of Canadian Small and Medium Enterprises (SMEs), employing advanced data analytics and machine learning techniques to unveil critical trends and insights. My role as a Data Scientist and Business Intelligence Analyst involved:
Financing Preferences Assessment: Analyzing the funding options preferred by SMEs to better understand their financial landscape and challenges.
Predictive Modeling for Approval Rates: Utilizing machine learning models to forecast financing approval rates, enabling stakeholders to make informed decisions based on data-driven insights.
Actionable Insights for Stakeholders: Delivering comprehensive recommendations aimed at enhancing the financial resilience and growth potential of SMEs in Canada.
This project highlights my proficiency in data preprocessing, exploratory data analysis, and predictive modeling, underscoring my commitment to supporting the growth of SMEs through data-driven strategies.
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Posted Oct 28, 2024
Analyzed Canadian SMEs' financial trends using data analytics and machine learning to assess financing, predict approval rates, and provide actionable insights.
