Automated Weather Data Processing: Developed Python scripts to collect, process, and aggregate weather data from multiple APIs, enabling seamless integration into the firm's data analysis pipelines.Built Analytical Dashboards: Designed automated workflows to extract insights from large weather datasets, supporting data-driven decision-making for trading strategies.Streamlined Data Aggregation: Created efficient pipelines to compile and standardize weather data across regions… Show more Automated Weather Data Processing: Developed Python scripts to collect, process, and aggregate weather data from multiple APIs, enabling seamless integration into the firm's data analysis pipelines.Built Analytical Dashboards: Designed automated workflows to extract insights from large weather datasets, supporting data-driven decision-making for trading strategies.Streamlined Data Aggregation: Created efficient pipelines to compile and standardize weather data across regions, ensuring accuracy and reliability for research and analysis.Enhanced Forecasting Tools: Leveraged Python to build models and tools that incorporated weather data into predictive analytics, contributing to improved performance in weather-sensitive trading strategies. Show less

Summer 2023 Advisory Intern at KPMG in their Technology Risk Management Department

• Built excel models to calculate waterfall structure for investments with Profimex’ partners • Assisted in preparation Q1 report of both active and closed investments to present to investors• Consolidated 20 years of investments into detailed spreadsheet for easy accessibility• Identified 15+ potential partnership opportunities and presented to executives

• KKR backed technical advisor to 2,000 suppliers for industrial automation of products. • Support FP&A projects including build-out of extensive customer/supplier/product hierarchy.• Assist in the consolidation/build of monthly business review materials. • Support VP FP&A and Director of Pricing on ad hoc requests.

• Caddy at the Whippoorwill Club for 5 years • Work corporate outings, and private members events

• Served within Uber's division of leveraging self-driving technology• Shadowed/supported sales team, software engineers, marketing, and finance team, etc.

• Worked in finance and marketing departments for an athletic apparel business• Collected and organized company data and analyzed market trends • Experienced the day-to-day challenges of running a consumer business