Nimble is the first business external data platform, making data decision-making easier than ever, with our award-winning AI-powered data structuring technology Nimble connects business users with the public web knowledge.We empower businesses with mission-critical real-time external data to unlock advanced competitors’ intelligence, price comparison, and companies’ data for sales and marketing. We translate data into immediate business value.

Enabling customers to enhance their outcomes through a SaaS solution using AI to reduce time and resources spent on data mismatches.

* Managing and coaching a team of 5 Commercial Solution Engineers (CSE) on deal cycles and technology. * The team exceeded their quota by reaching 114% in a challenging economic environment. * Developing repeatable best practices for commercial solution engineering. * Providing feedback to the product team on technology and documentation. * Partnering with sales and marketing to generate new opportunities (e.g. events) and conducting competitor analysis. * Working on enabling partnerships through integrations, documentation, and message alignment.

* Successfully lead enterprise (seven figure) technical sales cycles* Helped recruit team members to build team from one to five* Coached and mentored team member members on Ocrolus API, technical concepts, sales methodology * Developed sales enablement material (workflows etc)Developed solutions individually and managed development of both and sales enablement solutions and product enhancements* New customizable framework for API demonstrations* Bulk processing framework* Non-qualified mortgage reporting solution* Framework for automatically creating demo documents (Bank statements, W-2s, Paystubs)Provided input to Product team on current and strategic offerings, particularly from customer experience perspective* ML data capture framework* Fraud detection framework* API design* Documentation* UX Design* Acted as resource/SME across Solutions and Product

Ocrolus is a growth stage fintech infrastructure company that uses artificial intelligence, machine learning, and human in the loop to automate financial review processes. The Company transforms e-statements, scans, and cell phone images, regardless of quality, into accurate digital data. By replacing tedious, imperfect human audits with sharp, AI-driven analyses, Ocrolus modernizes financial assessments in lending, mortgage, and a variety of other industries

Top US Sales Engineer 2019President's Club (AKA Yellow Club) 2019Largest New Logo 2019• Leading discovery sessions for prospects across multiple industries (Finance, Healthcare, Marketing, Pharma, Retail, Education, Real Estate, Agriculture)• Planning, developing and presenting full stack Proof of Concepts for C-level prospects, including explaining technical concepts to non-technical users, across multiple industries.• Developing custom data models and SQL scripts.• Developing custom ETL process (Python, Athena, Apache Drill, shell scripts.) for structured and semi-structured data (JSON).• Writing RFIs/RFPs.• Writing blog posts and developing assets (Apache Drill, custom Sisense extensions in JavaScript)• Mentoring and training junior staff and interns.

Developing full stack visualization and reporting solutions across several business domains:• Meeting directly with consumers of reports and translating their requirements into the appropriate data architecture and dashboard wireframes.• Data sourcing and ETL.• Database design and implementation.• Analytics and visualizations.Projects• Developed sales dashboards in Tableau for multiple product lines for large insurer.• Trained developers and produced guide to visualization best practices for large insurer.• Developed enterprise human resources planning and demographics dashboards in Tableau for large financial group.• Developed Tableau dashboards to visualize ratings and revenue performance across channels for large media group.• Developed Qlik training for large publishing group.• Developed Tableau sales dashboards for representatives and managers at large pharmaceutical group.• Developed SQL Server data warehouse, ETL and SAP BusinessObjects universe for reporting on membership and retail sales by segment for large nonprofit.Other work• Developed consumer sentiment analysis for retail offering in Tableau and SQL Server, based on Amazon reviews.• Proof of Concept Tableau dashboard for marketing group of a large fund manager.• Designed and developed Qlik visualization tool used by internal leadership for staffing.

• Implementation of a UK regulatory market risk calculation and reporting system at a large European investment bank.• Business analysis and project management for two large framework/tool upgrade projects at a large US bank.• Analysis of the Basel II Pillar 2 data governance framework at a large US bank for Internal Capital Adequacy Process and Comprehensive Capital Analysis and Review requirements.• Developed Basel Reporting Effectiveness framework at large US financial institution.

Implemented and contributed to development of:• FIS Basel II Application: Bancware Capital Manager. Risk Weighted Assets Calculation/ Simulation & Reporting Tool.• FIS Profitability Analytics: Commercial Banking Margin/Non-Margin Profitability Calculation & Reporting Tool.• FIS Budgeting Analytics: Commercial Banking Cashflow Modeling/Simulation & Reporting Tool.Additional custom client solutions • Research on risk and financial modeling and regulatory environment.• Gathering business & technical requirements from clients, writing SOWs, project planning for implementations.• Database design/Extensive use of SQL.• Designed solution with internal & external developers, DBAs and network administrators using Agile Development (Scrum).• In-depth use of business intelligence tools (OLAP) for financial modeling for client solutions.• Developed reports on various reporting tools (Excel, Web Reporting).• Developed test plans, functional testing and load testing. • Writing technical documentation/manuals.• Presales/Product demonstrations.• Developed Proof of Concepts.• RFIs/RFPs.• Internal/External Training on tools and OLAP reporting.• Mentoring junior staff.

Development of OR2Q, an enterprise system to capture and model operational risk for financial institutions.Worked on OR2Q Analytics, quantitative component:• Requirements gathering.• Researched external products and components.• Installation/General technical troubleshooting (operating systems etcetera).• Developing analytic model.• Data modeling• Data warehouse implementation in Oracle.• System testing.• Writing technical documentation/manuals.• Web reporting.• Presales/Product demonstrations.• Developed Proof of Concepts.• RFIs/RFPs.• Internal/External training on tools and OLAP reporting.Research on • Business issues regarding regulatory (Basel II) and business environment of target market including banks, insurance, thrifts.• Operational risk and financial modeling (including working with external bodies e.g.; University of London Computing Department, City University).