TCB Analytics is a data consulting company based in Boston that offers advanced analytics solutions for practical business problems.

AI-native drug discovery and development

Built the data team and transformed their consulting model into a data-driven products model. Sold to Alpine Investors.

- Led the development of the flagship product, a data analysis web application, which resulted in multimillion dollar revenues in the first year of release to clients- Drove data integrity standards, version control and automation of data processing/analysis - Increased data query performance by 20x and cut Amazon Web Services costs in half by optimizing Amazon Redshift usage- Developed company’s intellectual property by documenting all internal knowledge on Confluence and enforcing documentation of all processes involved with production data- Developed application prototypes in both R Shiny and Tableau in order to derive business requirements for a rapid and agile deployment environment- Implemented agile development standards including JIRA best practices, sprint planning and requirements gathering.- Presented at meet-ups and attended developer events in order to hire top talent to grow a best-in-class analytics team

- Championed the use of Tableau Server and Desktop, a business intelligence tool, in order to expand and encourage the use of analytics across the company to inform decision making- Architected, configured and managed Tableau Server and Desktop installations- Connected various third party tools’ to Tableau for rapid visualization and insights into operations, finance and sales- Created dashboards in Tableau both for the management committee and multiple business unit leaders in order to provide executive level insights- Identified trends in lead generation over time and identified where marketing should focus its resources- Improved financial forecasting by using data-driven approaches to more accurately assign closed won probabilities and improve the overall forecasting process- Identified gaps in the sales process by analyzing historical CRM pipeline data- Implemented and maintained a CRM partner portal for international reseller partners- Managed the use of Marketo (marketing automation software) and Salesforce.com for entire company

- Managed multiple projects and consultants in order to achieve project goals in a timely and efficient manner- Developed new clients and maintained relationships with existing clients by attending industry events and meeting with contacts on a regular basis- Directed multiple marketing efforts including the design of an interactive demo in which highly complex solutions are conveyed in an easy to understand manner.- Identified strategic engagement opportunities with current and prospective clients/partners- Created marketing collateral to highlight service offerings and reference successful projects- Created reports for executive management, which highlighted growth patterns, forecasts, and key prospects- Managed the use of Salesforce.com for all project accounts and automated the tracking of email correspondence with all current and potential clients- Maintained the company’s image as being a pioneer in the big data analytics industry by contributing to the company blog and updating all forms of social media and marketing

- Successfully increased revenue generation by writing research grants and project proposals to top pharmaceutical companies and government agencies. Following revenue sources secured: - NCI grant to identify mechanisms of action of several cancer drugs - Project to identify biomarkers and potential drug targets for Diabetes - Project to identify pre-treatment biomarkers predicting sensitivity to a clinical cancer drug candidate - Multi-year collaboration with Harvard Medical School to identify biomarkers to predict patient response to asthma therapies- Acted as Lead Science Manager assisting the Executive Vice President by visiting client sites, discussing ideal experimental designs and securing projects via customer relationships, proposal writing and executing on several projects.

- Collaborate with top-level scientists to review analysis plans, develop new innovative plans and interpret statistical results- Utilized high performance Bayesian network reconstruction and simulation algorithms to build quantitative and predictive integrative genomics models in metabolic disease, inflammation and cancer- Manipulated and simulate predictive models to allow new target and biomarker identification for personalized medicine and enable drug-repositioning efforts

- Designed and maintained a Rich Internet Application (eNotebook), which enabled scientists to describe, track and analyze their experiments by enhancing the data capture process. - Developed a protein-protein interactor component linked to a local instance of the Human Protein Reference Database (HPRD)- Maintained an Oracle 10g database linked to eNotebook, which monitored .RAW files being acquired from several mass spectrometers. The completed data files were then uploaded to eNotebook for ease of accessibility and data analysis.

- Analyzed gene expression data using R: Focused on Huntington's disease and Asthmatic patients using methods such as Principal Components Analysis, Hierarchical Clustering, t-tests, SAM (Significance Analysis of Microarrays), and various filtering/normalization procedures.- Applied Gene Set Enrichment Analysis (GSEA) to a time series of mouse cerebellum developmental expression data to discover metabolic pathways that are regulated during specific stages of brain development- Utilized GSEA to identify underlying mechanisms common to both human medulloblastoma and specific stages of cerebellar development- Derived algorithms to analyze complex diseases such as Autism and Asthma using linkage peak data in conjunction with GSEA

- Provided analytical, user adoption, and QA support throughout software development life cycle for the following projects: Variant Database, DNA Microarray & Research Sequencing, GIGPAD- Performed usability assessment on DNA Microarray Laboratory Information Management Systems (LIMS) and Variant Database- Created user documentation for the following systems: Variant Database, GIGPAD, FIND- Defined requirements for variant nomenclature to enable structured reporting of point mutations to the electronic medical record (EMR)- Co-designed baseline aCGH (array comparative genome hybridization) structured report format- Participated in baseline XML object model design for messaging genetic variant results to enterprise electronic medical record systems