Actively engaged in emergency response operations, fire prevention, and public education efforts. Utilized adaptable problem-solving and teamwork skills to effectively manage dynamic high-pressure situations, contributing to community safety.

Managed client onboarding, account processing, and documentation for Ithaca 2030 District, expanding portfolio by 25%.Resolved critical bugs in our proprietary energy data analysis process using software, i.e. Python, VBA, and ESPM.Analyzed operational efficiency, energy, water, and CO2 data using automated software for 40 buildings in downtown Ithaca.Visualized portfolio-wide data to provide clients with usage patterns and actionable insights for operational improvements.Championed recruitment, training, and ongoing mentorship of incoming interns, enhancing their role adaptation, offering consultations, and contributing to the organization's success.

Actively engaged in emergency response operations, fire prevention, and public education efforts. Utilized adaptable problem-solving and teamwork skills to effectively manage dynamic high-pressure situations, contributing to community safety.

Developed 15 statistical and adaptive algorithms for drink attribute intensity to improve consumer experience and satisfaction.Utilized TensorFlow, Gradient Boosting, and 8 more custom machine learning models to predict drinks with up to 97% accuracy.Used heatmaps and conducted simulations to benchmark and compare algorithms for short and long-term performance.Optimized beverage selection via consumer-centric design and gustatory mechanism first principles & research considerations.Collaborated with cross-functional teams to design proof of concept for consumer-oriented machine learning models.

Designed ~30 prototypes to provide proof of principle for a design innovation to save $7.2 million/year in structural savings.Hypothesized impacts to consumers and business based on ~8 explored lean design variables, using a C2P2T method.Designed and conducted 7 technical experiments and consumer research panels to assess performance of prototypes.Recommended final product designs driven by robust learnings on consumer preference and technical complexity.Summarized research spanning 32 years on a key product issue, guiding and recommending strategies for product improvements.Achieved an 82% risk reduction in material failure as measured through a rigorous controlled experiment.

Devised 20+ SOPs and WIs, structuring optimized material planning operations for uninterrupted Biologics drug manufacturing. Reviewed BOMs to align over 300 SKUs with historical consumption data, enhancing demand forecasting accuracy. Revamped warehouse optimization project, addressing constraints through data-driven tools in collaboration with SC Analysts. Developed decision trees for determining statistically ideal safety stock levels, order quantities, and MRP types in SAP. Determined SAP timing offset settings for commercial bioprocess manufacturing, ensuring lean material planning.Launched automation project optimizing forecasting of 11% of annual spending in collaboration with SC Analysts.

-Analyzed locomotive emissions data and noise surveys using sound meters and Excel to conform to state ordinance.-Ensured company-wide environmental compliance by actively tracking permit portfolio expiry spanning 57 facilities.-Inspected and calibrated USTs, flow meters, and pH meters for wastewater treatment at garages and railyards.

-Analyzed contamination and geographical site data to optimize and track pollution remediation at ~10 client sites.-Calibrated and operated air, soil, and groundwater sampling equipment to ensure environmental code compliance.-Developed reagent-soil mixture using environmentally sustainable materials to increase lead removal by ~33%.-Reviewed AutoCAD drawings of safety-related infrastructure and remediation systems to prevent injury to personnel.-Reduced timeline of a major project by 3 years, minimizing cost while maintaining scope of NJDEP guidelines.