Conducting in-depth exploratory data analysis on a large database of variables providing information on the wet blasting process required to prepare high-quality cutting insert blades for the application of a durable coating.Utilizing clustering methods to help visualize and understand complex multivariate interactions in the wet blasting process, as well as reveal anomalies in the process that could be affecting product quality and maintenance costs.

Collaborated remotely in an Agile environment with students from CMU Africa and Artificial Intelligence and Machine Learning team leaders at JPMorgan Chase to conduct machine learning research on corporate community detection.Utilized Networx and Pytorch to predict quarterly stock prices changes for companies in a detected community, using community structure built from multiple data sources to improve prediction accuracy, and presented findings.

Researched multi-task learning algorithms, their practical applications, and their potential for predicting a patient’s stress level given biomarkers and weekly self-survey data to help opioid addiction patients complete treatment.Adapted TensorFlow code and findings of a much larger study on multi-task learning algorithms to give a clear picture of the data requirements and predictive power benefits of a multi-task learning approach and presented findings.

Constructed a random forest model to predict which properties with tax certificates in Florida would result in tax deed applications, substantially improving prediction accuracy and smoothing workflow for the delinquency department. Coded the back end of a business intelligence tool using MySQL to compare similar business days over the past five years, then developed the front-end client visualization in MicroStrategy. Developed a method of detecting potential payment outages before they trip… Show more Constructed a random forest model to predict which properties with tax certificates in Florida would result in tax deed applications, substantially improving prediction accuracy and smoothing workflow for the delinquency department. Coded the back end of a business intelligence tool using MySQL to compare similar business days over the past five years, then developed the front-end client visualization in MicroStrategy. Developed a method of detecting potential payment outages before they trip other alerts by monitoring current time between payments and payment volume and comparing them to historical metrics over the past 2 years. Show less

Conducted statistical analysis of Genworth's claims data on the their long-term care policies, focusing on large metropolitan statistical areas. Established statistical grounds for several assumed and unknown trends in claims data that can be used to predict expensive outlier claims in an opaque care market. Created heat maps of expensive outliers to highlight regions where Genworth would be wise to adjust its provider network in order to achieve the best care for its claimants at the best… Show more Conducted statistical analysis of Genworth's claims data on the their long-term care policies, focusing on large metropolitan statistical areas. Established statistical grounds for several assumed and unknown trends in claims data that can be used to predict expensive outlier claims in an opaque care market. Created heat maps of expensive outliers to highlight regions where Genworth would be wise to adjust its provider network in order to achieve the best care for its claimants at the best price. Established method to link provider data to claim outlier data in order to paint a clearer picture of which providers are the cause of outlier claims in large metropolitan areas. Show less

Led intern efforts in designing two surveys on customer satisfaction and customer preferences, analyzed the resulting data and presented findings to Pittsburgh East management. Refurbished IGS’s sales app as part of a team, proposing quality-of-life improvements for sales reps and visual changes that furthered the IGS’s strategic initiatives. Presented at corporate headquarters about IGS’s current issues in customer retention and online presence and potential solutions in terms of sales… Show more Led intern efforts in designing two surveys on customer satisfaction and customer preferences, analyzed the resulting data and presented findings to Pittsburgh East management. Refurbished IGS’s sales app as part of a team, proposing quality-of-life improvements for sales reps and visual changes that furthered the IGS’s strategic initiatives. Presented at corporate headquarters about IGS’s current issues in customer retention and online presence and potential solutions in terms of sales incentives and visual branding. Developed interpersonal interactions and product communications skills while promoting IGS’s fixed rate, green energy, and home warranty options to customers. Show less

Managed the cash register, organized the storefront, and maintained the storage areas.Worked independently during peak hours and received several bonuses for attention to detail, integrity, and outstanding work ethic.