Jevish Deshwal

• Founded an AI‑driven startup focused on transforming email marketing through interactive AI chat capabilities embedded directly within email inboxes.
• Designed product strategy for AI-powered interactive email marketing platform to enhance customer engagement.
• Led development of AI interaction workflows that allow users to ask questions directly within email content.
• The platform enables businesses to engage customers in real time, answer product questions, and increase engagement directly within marketing emails.
• Developed product positioning to drive customer engagement and increase reply rates in email campaigns.
• Collaborated with marketers and early adopters to validate product-market fit.
• Developed innovative AI solutions for enhancing customer engagement.
• Led strategic planning sessions to define company vision and goals.
• Conducted market analysis to identify emerging trends in AI technology, informing strategic decisions.

Digital Account Opening Fraud Analytics Initiative Single Sign Page (SSP) Platform – Fraud Risk Analytics

• Successfully convinced senior leadership to secure funding for new change requests in credit card account open losses, resulting in actionable insights to mitigate fraud risk.
• Designed and implemented insights for strategy team and business partners to clarify fraud loss factors, enhancing decision-making capabilities.
• Presented fraud losses updates to senior partners & key stakeholders. Developed and presented new solutions to a large audience on a monthly basis.
• Identified process gaps and collaborated with cross-functional team to develop and implement procedural changes.
• Collaborated with senior leadership to define metrics and use cases, leading multiple BI projects and initiatives with indirect oversight.
• Single-handedly led automation of several manual processes by implementing data analytics tools and utilizing them to save project costs, eliminate capacity issues, and improve performance and efficiency.
• Worked with technology partners, business stakeholders and data owners to map out the data migration needs, provided approvals and feedback on BRDs related to data migration.
• Validated data migration results by building SQL queries to match against data in legacy system versus EDGE cloud by using Databricks and SAS.
• Identified gaps within existing BI reporting, worked with 4 different teams to drive the new change, resulting in 30% more efficiency.
• Led a strategic analytics initiative to analyze end-to-end digital account opening fraud detection processes.
• Mapped fraud detection workflows across multiple enterprise systems including ThreatMetrix, Fraud IQ Manager, TU AML, and Equifax Consortium data.
• Identified system gaps in fraud detection logic and provided recommendations to improve monitoring frameworks.
• Developed analytics models integrating behavioral analytics, identity verification signals, and credit bureau data to identify suspicious onboarding activity.
• Provided fraud analytics support for the Single Sign Page digital onboarding platform, enabling customers to open accounts using identity data from other financial institutions.
• Developed automated analytics workflows to detect account opening fraud across multiple Canadian financial institutions.
• Collaborated with fraud operations teams and banking partners to detect coordinated fraud attempts and stop fraudulent accounts.
• Analyzed onboarding patterns, identity verification signals, and cross-institution indicators to detect fraud risks associated with PII reuse.
• Analyzed complex data sets to identify trends and insights for business strategies.
• Led a strategic analytics initiative to analyze end-to-end digital account opening fraud detection processes.
• Mapped fraud detection workflows across multiple enterprise systems including ThreatMetrix, Fraud IQ Manager, TU AML, and Equifax Consortium data.
• Identified system gaps in fraud detection logic and provided recommendations to improve monitoring frameworks.
• Developed analytics models integrating behavioral analytics, identity verification signals, and credit bureau data to identify suspicious onboarding activity.

Provided fraud analytics support for the Single Sign Page digital onboarding platform, enabling customers to open accounts using identity data from other financial institutions.

• Developed automated analytics workflows to detect account opening fraud across multiple Canadian financial institutions.
• Collaborated with fraud operations teams and banking partners to detect coordinated fraud attempts and stop fraudulent accounts.
• Analyzed onboarding patterns, identity verification signals, and cross-institution indicators to detect fraud risks associated with PII reuse.
• Collaborated with cross-functional teams to enhance data-driven approaches and solutions.
• Utilized advanced analytics tools to streamline reporting processes and enhance efficiency.
• Mentored junior analysts in best practices for data interpretation and presentation skills.
• Conducted workshops to educate staff on analytics tools and methodologies effectively.
• Managed stakeholder relationships to ensure alignment on analytics projects and objectives.
• Recommended appropriate tools and technologies for efficient data collection and analysis.
• Implemented data mining techniques such as clustering, classification, decision trees. to derive meaningful insights from raw data.
• Conducted ad-hoc analyses to address specific business needs.
• Designed dashboards to visualize analytics results for stakeholders.
• Created automated reports to track KPIs and provide timely updates on progress.
• Optimized existing processes by introducing innovative solutions for better accuracy and cost savings.
• Worked with internal teams to understand business needs and changing strategies.
• Collaborated with IT and business process owners to enhance system requirements for analytical purposes.
• Conducted full lifecycle analysis to include requirements, activities, and design of data analytic solutions.

• Documented data requirements through collaboration with system consultants, application SMEs, and system architects to ensure alignment with business needs.
• Developed and implemented strategies for data collection, storage and analysis by using SharePoint, Alteryx and Tableau.
• Designed and Presented BI dashboards to senior VPs and executives and recommended solutions to improve customer satisfaction, improve operational efficiency and cut costs.
• Resolved complex data integration challenges, realigned BI matrices, and enhanced overall data quality to support decision-making.
• Engaged senior business teams in data discovery phase, analyzed eight source systems, and developed ETL mapping and transformation rules.
• Designed and implemented data-driven AML (Anti-Money Laundering) solution that involves data reconciliation/remediation across 3 different legacy systems to achieve data consistency for AML/KYC compliance.

• Promoted to a Business Analyst role in recognition of exceptional performance as QA Lead.
• Established management of requirements and backlogs using JIRA and HP ALM, managed change requests, and prepared and updated Requirement Traceability Matrix.
• Implemented system integration between salesforce and NetSuite to improve the BI capabilities.
• Acted as subject matter expert (SME) for various IT applications including Salesforce and Kronos.
• Coordinated stages of SDLC from project conception to code deployment in production environment, extracting User and Stakeholder Requirements and translating them into functional, accessibility, performance, quality, and usability requirements.
• Acted as a liaison to connect external and internal customers and interpreted business needs effectively.
• Presented Business Process Modeling (BPMN) diagrams by analyzing business processes, created AS-IS and TO-BE models, and updated existing models.
• Proliferated workflow and UML (Unified Modeling Language) diagrams such as use case diagrams, data flow diagrams, data mapping, activity diagrams and sequence diagrams.
• Performed System Testing (ST), SIT (System Integration Testing), Regression Testing, UAT (User Acceptance Test) and user training multiple projects.