Robert Brasso Email & Phone Number

Hunt Valley, Maryland, United States

Hunt Valley, Maryland, United States

As a member of the Creative Intelligence team, I am responsible for creating actionable machine learning models, improving internal AI models, managing the organization’s partnership with IBM and other third-party vendors, and upskill scientists on new data software, such as Power BI. Additionally, I manage a team of data scientists that create new models and dashboards to aid various R&D efforts.- Identified and fixed 6 major logic and training issues with $20M internal AI application resulting in doubling application associated sales in 2024, improving adoption rates, and a dramatic increase to forecasted sales.- Created a model that calls an API containing monthly web-scraped recipe data to identify the most useful food trends for product developers.- Co-developed Algorithm used to predict sample formulas based on the chemical composition readouts from a Gas Chromatography-Mass Spectrometry (GC-MS) machine, saving 3 FTE (chemists) annually.- Coached an intern in developing a Bayesian classification model that utilizes internally captured sensory emotion data on products to predict whether a new reformulation will meet consumer expectations.- Built an ingredient-based knowledge graph in Neo4j and using Louvain clustering, betweenness centrality, and community detection algorithms, identified chemical patterns found in natural flavors to enhance the development of natural flavors.- Created a caching solution in Denodo to allow our developers around the globe to have nearly live, secure, user-filtered access to sensitive formula information in visualization tools like Power BI & Tableau.

Hunt Valley, Maryland, United States

Developed automated model driven solutions for global business functions, piloted AI & machine learning technology, created custom reporting dashboards, and trained/mentored analysts to further spread data science proficiency.- Harmonized e-commerce search data across various online retailer platforms (Amazon, Walmart, etc…) and created a Tableau tracking dashboard which led to a $5 million dollar increase in the e-commerce budget.- Using Python, implemented an automated data pipeline feeding a Power BI dashboard to track the performance of new item innovations which replaced a manual, time-consuming, and error prone excel process saving an estimated 1200 hours of analyst time annually.- Leveraging Azure data pipelines, created an automated set of Power BI dashboards harmonizing regional point of sale data across EMEA, saving $500k annually in agency fees while also enhancing the company’s ability to accurately compare performance across countries within the region.- Led an organization-wide Power BI beginners training group, where I hosted quarterly recorded video sessions building dashboards to address business needs, offered private mentoring, and published content to our SharePoint training site.- Automated the tracking of product distribution in Canada during COVID out-of-stock issues which dramatically sped up recovery in the Canadian market.

Created models to analyze sample selection processes for audio rating surveys, automated analytical production processes in Python, created validation scripts for forecasting models, and developed dashboards for tracking survey statistics. Subject Matter Expert on machine learning, cloud solutions, programming standards, and version control.- Utilizing Spark & DataBricks, developed a random forest classification model to double the accuracy of identifying sample demographics, saving the company over $600k annually in unused sample.- Converted, improved, and automated a legacy production process from excel into a python script, saving over 300 hours annually of analyst time.- Identified and resolved errors in the quarterly end-of-survey wrap up processes, decreasing processing time by several hours, while improving the accuracy of our survey reporting by over 10%.- Developed a set of training materials for Python & AWS best practices to socialize through interactive training sessions.

Programmed UNIX-based Cisco devices with necessary traffic & security rules, set up SQL and PostgreSQL servers with applied network security policies, installed & configured RedHat servers for web hosting, deployed physical devices at CoreSite Data Center (Reston, VA), provided clients reporting and security analysis of network traffic, and troubleshot all general IT issues.

Ellicott City, Md

Responsible for maintaining and purchasing all workstations, network devices, and VOIP equipment and for ensuring proper staffing of remote independent contractors. Acted as on-call tech support for 100+ call center agents. Managed several staffing managers and a small IT staff.- Developed an Erlang C queueing model that was utilized by staffing managers to accurately predict the call center staffing needs every half hour throughout the day.- Used clustering distributions of on-call times to identify a few remote call center agents that had large numbers of outliers and validated through call recordings that they had been manipulating their calls to get bonuses.- Planned and implemented a fully redundant dual WAN network that ensured over 99% up-time for the call center- Created automatically triggered script prompts to improve the overall efficiency of call center agents

Master Of Science (M.S.), Computer Science

Data Science Track

Bachelor Of Arts (B.A.), Sociology