Tom Scheiber Email & Phone Number

Tampa, FL, US

Charlotte, NC, US

Charlotte, NC, US

• Rolled out software defined object storage platform as next generation of object storage platform
• Integrated file storage service into Bank of America internal cloud platform
• Developing software defined block storage service to expand use cases supported by Bank of America Cloud

Charlotte, NC, US

Manage supplier relationships with between the Hosting Services organization and the it's key vendors, representing more than $!00MM of spend. Created processes and meeting cadences to ensure both the bank and our suppliers worked cooperatively, practically eliminating mis-communications requiring senior executive intervention.

Charlotte, NC, US

• Provided reporting on strategic infrastructure transformation programs for executive leadership of technology and operations
• Drove data quality improvements to ensure inventory systems of record more accurately reported on consumption of storage services
• Technologies: SQL, SQL Server, Excel

Charlotte, NC, US

• Led team responsible for capital acquisition processes for midrange hardware, software, and storage
• Transformed process and tooling for capital acquisition process for storage infrastructure, reducing effort by more than 50%
• Developed reporting tools to track pipeline and forecast demand for midrange hardware
• Managed pre-provision midrange hardware, reducing time to deliver for compute infrastructure from weeks to days.
• Technologies: SQL, SQL Server, Excel, MS Access

Charlotte, NC, US

- Simplified capital review process for storage infrastucture, reducing error rates, man hours required, and time to order - Reporting on Countrywide and Merrill Lynch integration activities to enable executives and project teams to have real-time understanding of current state of integration of key transformation programs - Executive reporting on line of.

Charlotte, NC, US

• Manage enterprise shared reporting services for Business Objects, Webtrends, and Filenet
• Provided shared platform, advice and expertise in to analysts and report developers in lines of business across the bank with particular focus on ecommerce marketing and corporate banking
• Simplified on boarding process to reduce time to market and costs for new applications adopting the shared service from months to weeks.
• Developed cost recovery model that clearly aligned the business costs with the value delivered by the service.
• Technologies: Java, C, Business Objects, Actuate, Cognos, Webtrends

Charlotte, NC, US

Senior manager of team responsible for enterprise document imaging infrastructure and applications- Created new standard application that reduce time to onboard a new line of business from 6 months to 6 weeks and reduced the on boarding costs from $100,000 to $30,000- Replaced technology for importing documents, improving the rate of document import by.

Charlotte, NC, US

• Technical lead for FX Payment customer facing application
• Early adopter of Java appserver technology
• One of earliest applications enabling bank business customers to print bank drafts from a web application
• Technologies: Java, Java App Server, Java Servlets, Html

Tampa, Florida, US

• Created a blockchain based medical record platform designed to enable patients to own and manage their own records, permit easy portability across providers and geographic regions without requiring a trusted third.
• My focus was on creating the blockchain infrastructure using Python based on example by Adil Moujahid
• Architecture addressed need for provider, patient, and patient proxy to be able to view medical records
• Explored techniques to enable emergency access to medical records while maintaining overall patient control
• Technologies: blockchain, RSA, SHA, Python, Flask, Swagger, REST, JSON, Git, VisualStudio Code

Tampa, Florida, US

• Based on historical S&P 500 data and Nikkei 225 data, predict whether next day the index will go up or down
• Created 10 days of time lag data and address missing records due to Japanese holidays
• Employed Naïve Bayes model to set baseline expectations for final model
• Used principle component analysis (PCR) to reduce number of predictors and produce refined prediction
• Technologies: R, Naïve Bayes, PCR,
• Employed numerous models (logistic, bagging, and gradient boosting) combined with a voting ensemble model

Tampa, Florida, US

• Build and populate a full BitShares node using Docker to create and run the hosts on a single server
• Use ElasticSearch to capture transaction data and Kibana to visualize the transaction data
• Extract transaction data from Elasticsearch and aggregated by day and hour
• Identify signals that predict movement in BitShares/USD or BitShares/BlockChain rates using VAR time series models
• Technologies: machine learning, blockchain, BitShares, Elasticsearch, Kibana, JSON, Docker, Python, VisualStudio Code

Tampa, Florida, US

• Used language features to build language models as the predictors for language impairment
• Data drawn from Kaggle based on CHILDES project
• Employed numerous models (logistic, bagging, SVM, and gradient boosting) combined with a voting ensemble model
• Performed same analysis using Hadoop and Spark
• Resulting model with 86% accuracy, 91% specificity, and 71% sensitivity
• Technologies: Python, Jupyter Notebook, machine learning, ensemble models, neural networks, Hadoop, Cloudera, Spark

Tampa, Florida, US

• Based on Humana-Mays patient personal and medical history, predict if a patient would have a heart in attack in the subsequent 6 months
• Prepare data to be consumed by a variety of models: eliminated rows with insufficient data, addressed missing data, removed highly correlated attributes, and transformed categorical variables to be usable by all models
• Employed numerous models (logistic, bagging, and gradient boosting) combined with a voting ensemble model
• Resulting model with 90% accuracy, 92% specificity, and 32% sensitivity
• Technologies: Python, Jupyter Notebook, machine learning, ensemble models, neural networks

Performed environmental scan for LifeLine Theatre's education mission in preparation for developing an strategic plan

• Developing a dashboard to enable both the executive management and the board of directors for the Active Transportation Alliance to understand, at a glance, how their organization is performing against its strategic plan
• Created process for defining metrics and implementing the dashboard
• Conducted requirements gathering to
• In process of creating first version of dashboard for management review

US

Managed all aspects of Project A, the Chicago Board of Trade's electronic trading platformTechnologies: Java, Sun Solaris

• As technical manager, a member of the team responsible for supervising the activity of consultants at company sites, tracking their satisfaction, and encouraging them to develop prospects for new business within the.
• Led team that developed and maintained distributed credit risk calculation application for mid-office credit risk management system
• Migrated front office application from NextStep to OpenStep
• Led team that built ongoing infrastructure enhancements for front office application
• Reduced by 80% the time required to load portfolios into front office applicationMcDonalds Corporation, Sales Analysis SystemResponsible for development and maintenance of a sales analysis system used by McDonalds.
• Started as developer on project, finished as team lead

Created and updated software for medical imaging devices such as ultrasound machines and digital radiology viewing stations

Master Of Science - Ms, Business Analytics

Master Of Business Administration (M.B.A.), Business

Master'S Degree, Biomedical Engineering

Bachelor'S Degree, Aerospace Engineering

Education record