Results-driven Data Analyst with a Master’s Degree in Computer Science (2023) and nearly two years of experience at TMF Group, specializing in Power BI to develop impactful dashboards for Microsoft Dynamics 365 Finance and Operations. Achievements include a 15% improvement in user satisfaction through strategic data-driven insights and process optimization. Proficient in Python, SQL, and machine learning, with hands-on expertise in data cleaning, visualization, and predictive modeling. Strong collaborator skilled in analyzing workflows and delivering actionable solutions to enhance operational efficiency, ready to leverage technical skills and analytical mindset to drive significant business impact within a forward-thinking organization.
Data-Driven Business Intelligence for Adventure Works, March 2025 – June 2025
• Designed and developed an interactive Power BI dashboard to analyze sales performance, customer demographics, and product trends for the Adventure Works (Bike accessories and equipment manufacturing company) dataset.
• Utilized DAX to implement dynamic measures, drill-through functionality, and user-specific visualizations for enhanced decision-making.
• Deployed the dashboard on Power BI Service, enabling real-time access to insights for stakeholders and improving data-driven collaboration
Los Angeles Crime Analysis, December 2024 – January 2025
• Conducted exploratory data analysis on Los Angeles crime datasets using Python (Pandas, Plotly), identifying high-crime zones through chi-square testing (p-value < 0.05).
• Created interactive visualizations, including bar charts and heatmaps, to illustrate crime distribution by area and category.
• Published the complete analysis and visualizations on GitHub, promoting transparency and accessibility for public and academic use.
• Attention to Details
• Analytical Thinking
• Excellent communication skills
• Team Collaboration
• Time Management
Microsoft Power BI
Microsoft Excel
Microsoft SQL Server
Microsoft dynamics 365
Jupyter Notebook
Github
Visual Studio Code
Singing
Reading