Aspiring software developer with a passion for data, mathematics, and automation.

Contribute to an MIT-affiliated agentic AI research project, applying analytical thinking and clear communication within a distributed technical team.

• Support project work around emerging agentic AI systems while learning from a collaborative research environment.
• Communicate technical observations and next steps clearly across a remote, distributed workflow.

Analyzed multifamily portfolio performance and financial risk, translating property-level operating data into practical decision support for asset management.

• Analyzed property-level revenue, operating expenses, NOI, cap rates, debt costs, and cash flow to assess asset performance and financial risk.
• Built Excel-based analyses to compare historical trends and model the effect of occupancy, expenses, interest rates, and rental income on investment returns.
• Performed scenario and sensitivity analysis to quantify downside exposure and support risk-adjusted asset management decisions.
• Evaluated portfolio and property-level risk indicators, identifying abnormal expense trends, concentration risk, and deviations from expected operating performance.
• Automated recurring financial-data preparation and reporting workflows using Python and Excel to improve consistency and reduce manual analysis.

Worked within the AbbVie client account, combining data analysis, automation, cloud training, and clear technical documentation in a security-conscious enterprise environment.

• Used Excel and Power BI to organize data, examine trends, and present findings through clear reports and visualizations.
• Applied Python and PowerShell to prepare data and automate repeatable technical tasks.
• Investigated inconsistencies by comparing information across sources, tracing likely causes, and documenting findings.
• Built hands-on knowledge across SQL, AWS, Azure, DevOps, data analytics, and cloud technologies through internal assignments.

Supported customers and high-volume store operations in a regulated environment where transaction accuracy, discretion, and calm problem resolution were essential.

• Processed cash, debit, and credit transactions accurately while following standardized compliance procedures.
• Completed daily cash reconciliation and payment processing, ensuring transactions balanced correctly at shift end.
• Identified customer needs, recommended suitable products, and built positive, trust-based interactions.
• Resolved concerns professionally, escalating non-standard situations appropriately and supporting coworkers during peak periods.

Worked across a busy sales floor with frequently changing inventory, balancing customer support, product knowledge, and shifting operational priorities.

• Engaged customers directly, understood what they were looking for, and guided them toward relevant products.
• Balanced several customer-facing responsibilities at once while adapting quickly during high-traffic periods.
• Learned rotating inventory and product details quickly so customer questions could be answered confidently.