Leads data analysis and technical advisory efforts for a firm specializing in disruptive new product innovation and accelerated timelines within the manufacturing industry.Provides key analytical insights and strategic guidance for food manufacturing, procurement, and logistics, driving.Collaborates closely with clients, offering data-driven recommendations to streamline processes, optimizing product development cycles and accelerating product commercialization… Show more Leads data analysis and technical advisory efforts for a firm specializing in disruptive new product innovation and accelerated timelines within the manufacturing industry.Provides key analytical insights and strategic guidance for food manufacturing, procurement, and logistics, driving.Collaborates closely with clients, offering data-driven recommendations to streamline processes, optimizing product development cycles and accelerating product commercialization timelines.Supported the co-founding of Bright Future Foods and the Airly brand, balancing ongoing technical advisory responsibilities with the startup's growth and development. Show less

- Reduced model analysis time from 6 hours to 3 seconds by replacing a labor-intensive excel model with agenetic algorithm written in Python. - Automated data analysis and label generation with Python to produce a consumer-friendly graphic. - Engineered and optimized software products to demonstrate proof of concept for potential investors.

- Engineered and commercialized a tabletop snack food seasoning applicator that enabled the productionof over 500 snack sample packages - Doubled the capacity of the applicator to decrease production by 20% time. - Wrote custom code to precisely control the applicator's rotation speed and direction.

- Negotiated successfully for shelf space in over 60% of visited Walmart Supercenters across three states and five cities (Chicago, Fort Collins, Denver, Colorado Springs, and areas in Kansas), surpassing the expected 50% success rate by 10% and significantly enhancing brand visibility for Bright Future Foods, LLC.- Instrumental in securing prime saddlebag placements in high-traffic action alleys, including a strategic position in the Walmart Supercenter located in the same city as our… Show more - Negotiated successfully for shelf space in over 60% of visited Walmart Supercenters across three states and five cities (Chicago, Fort Collins, Denver, Colorado Springs, and areas in Kansas), surpassing the expected 50% success rate by 10% and significantly enhancing brand visibility for Bright Future Foods, LLC.- Instrumental in securing prime saddlebag placements in high-traffic action alleys, including a strategic position in the Walmart Supercenter located in the same city as our corporate headquarters, which is frequented by the CEO, significantly boosting internal company visibility and prospects.- Distributed over 300 sample cracker packets to prospective customers, directly engaging with them to increase product trial and awareness of the company’s mission.- Led the innovative application and design of visually appealing dress-up kits for product displays, driving customer engagement and effectively communicating the company’s values.- Provided vital feedback and developed training materials on the assembly and presentation of dress-up kits, improving the efficiency and visual standards of product displays company-wide. - Captured compelling promotional drone footage of scenic locations, including the Garden of the Gods in Colorado Springs, enhancing marketing content and showcasing the brand’s alignment with natural beauty and sustainability. Show less

- Transformed 15 legacy SQL processes in Snowflake to dbt as a member of a data science team. - Directly converted 7 legacy SQL processes. - Contributed sections of code to the team in their efforts to convert another 8 legacy SQL processes to dbt. - Reduced SQL test creation time by 5% with a custom Jinja macro. - Used GitHub for version control of new dbt workflows.

- Converted all 114 .f / .f90 files to Python modules allowing testing of Daycent, a legacy soil-carbonmodel, using modern test practices. - Verified test cases for 555 subroutines of Daycent using Python unit tests. - Reported unit test results that provided critical insights to Daycent's structure as part of a cross-functional team to refactor the model.

- Documented 555 Fortran and C subroutines in the model providing a meticulously detailed overview ofthe model. - Confirmed and updated documentation for 1000+ global variables.