From finance to software engineering, my career path has been driven by a passion for technology and efficiency. As a licensed advisor with a Finance degree, data analysis piqued my interest in tech. This grew during my time in sales, where I focused on process automation. Inspired by family in the field, I've cultivated skills in Python, JavaScript, Java, HTML, CSS, SQL, and more, applying them to varied projects like ROI tools, geolocation apps, and snow condition rankings for ski resorts. With a unique mix of finance, sales, and technical expertise, I'm dedicated to crafting impactful tech solutions.
Completed an intensive software engineering bootcamp, focusing on full-stack development, including both front-end and back-end technologies, data structures, algorithms, and best coding practices.
- Led sales initiatives, achieved 150% of sales targets, securing over 50 new clients and increasing annual revenue by 20%, totaling over $500,000.
- Improved sales process efficiency by 65% via the implementation of sales automation tools in collaboration with a 10-person, cross-functional team, resulting in a 200% increase in lead conversion rates.
-Managed asset portfolios exceeding $1 billion in value, improving risk management, and advancing data-driven decision-making.
-Streamlined operations by enhancing data analysis and client management processes.
-Worked with a 15-member cross-functional team to develop data organization approaches, reducing data retrieval times by 30%.
This web application is designed to assist users in locating the nearest point to the central line of the 2024 solar eclipse, where the duration of totality is the longest. It provides an interactive map to pinpoint the optimal viewing location and offers directions to help users plan their journey to experience this celestial event.
View ProjectThis innovative web application evaluates and ranks all ski resorts in the USA, taking into account snow conditions. Users can easily search for specific resorts and access detailed information such as depth at the bottom and top, recent snowfall amounts, and more. This user-friendly interface is designed to help skiers and snowboarders find their ideal winter destination.
View ProjectThis Finance App is a Python-based web application that simplifies financial data analysis. It allows users to input stock symbols and time frames, offering access to crucial financial information for tracking and analyzing stock market trends. This app caters to both enthusiasts and professionals in finance, featuring a user-friendly interface for easy navigation and analysis.
View Project