Research working on a predictive model that utilizes data science, system models, and differential equations to enable advanced analytics for managing the food and the agriculture system:

• Experience with infrastructure design and architecture utilizing python Class framework

• Implemented a non-linear program optimization in python utilizing scypi and pyomo libraries

• Experience using pandas library for data organization and grouping

• Experience using git working simultaneously with a team of developers

• Worked with customers to ensure quality experience when shopping at Wegmans

• Provided critical feedback and proposals for small changes to minimize customer complaints

• Demonstrated adaptability through cross-training and working across 8 unique departments

• Created an interactive dashboard to guide NYS countries on the impact vaccination rates have on overall flu rate

• Built layers of visulaization, correlation analyese, and summary statistics to enable accurate insights and discovery

• Reducede biases in the artificial data generated by current production model when compared to the experimental data by identifying the features that were causing a skew

• Leveraged a gradient descent algorithm to identify and quantify the incremental impact of each feature in deviating from the truth