Kanishak Gupta

Led cross-functional execution across AI/ML, Business, Web, and Operations teams for 10+ concurrent projects contributing to multiple revenue-generating client deliveries. Conducted 200+ stakeholder discovery and requirement-gathering sessions translating business requirements into BRDs, FRDs, SOPs, workflows, onboarding strategies, and execution roadmaps for AI-driven solutions. Facilitated stakeholder workshops, requirement discussions, and process analysis sessions to align business objectives with technical implementation and delivery planning.

Business Analyst - SpeakGenie

(2025-01 - 2026-04)

• Led cross-functional execution across AI/ML, Business, Web, and Operations teams for 10+ concurrent projects contributing to multiple revenue-generating client deliveries.
• Conducted 200+ stakeholder discovery and requirement-gathering sessions translating business requirements into BRDs, FRDs, SOPs, workflows, onboarding strategies, and execution roadmaps for AI-driven solutions.
• Facilitated stakeholder workshops, requirement discussions, and process analysis sessions to align business objectives with technical implementation and delivery planning.
• Created user stories, SOPs, acceptance criteria, process documentation, and workflow specifications improving requirement traceability and execution consistency across project lifecycles.
• Conducted current-state and future-state workflow analysis identifying process improvement opportunities and supporting automation-focused business initiatives.
• Worked directly with the CEO of San Francisco-based AI startup Knolli AI on GTM execution, operational planning, pipeline management, sales coordination, and AI copilot solution initiatives.
• Contributed to scaling the SpeakGenie English learning platform from 1.5K demo users to 150K+ users across India through product demonstrations, onboarding workflows, stakeholder engagement, and client-facing execution initiatives.
• Built and managed AI-driven outbound outreach systems using automation tools, AI agents, LinkedIn workflows, and personalized email pipelines generating 500–700 leads daily across multiple platforms.
• Contributed to a 2x increase in qualified weekly lead generation through outreach optimization, lead qualification workflows, follow-up systems, and pipeline tracking initiatives.
• Managed KPI dashboards, reporting workflows, onboarding pipelines, operational timelines, stakeholder communication, and execution tracking across ongoing business initiatives.
• Coordinated recruitment and onboarding for 25+ interns across AI/ML, Venture Capital, Business, and Web teams from Stanford, Harvard, Yale, UC Berkeley, Cornell, Columbia, and UPenn.

Business Analyst - Mount Shivalik Industries

(2024-04 - 2024-07)

• Gained hands-on exposure to requirement gathering, stakeholder meetings, BRD/FRD preparation, workflow documentation, process mapping, and enterprise solution presentation processes.
• Participated in stakeholder walkthroughs and requirement clarification sessions ensuring alignment between business expectations and technical implementation.
• Supported UAT and SIT activities by preparing test scenarios, validating business requirements, tracking defects, and coordinating issue resolution with technical teams.
• Collaborated across 4+ operational workflows identifying process gaps, improving execution efficiency, and supporting operational process optimization initiatives.
• Performed testing, issue validation, reporting analysis, and monitoring activities across 10+ enterprise application modules improving workflow consistency and operational reliability.
• Contributed to a 20% reduction in recurring operational errors through structured reporting validation and process optimization workflows.
• Worked with structured datasets, reporting systems, operational dashboards, and API-based data flows supporting internal reporting and business decision-making processes.
• Prepared SOPs, functional documentation, validation reports, workflow specifications, and implementation tracking documents supporting cross-functional coordination.

Data Analyst Intern - Atsuya Technologies

(2023-08 - 2023-09)

• Developed a Python and OpenCV-based preprocessing pipeline reducing manual CCTV preprocessing effort by 40% across logistics monitoring workflows.
• Built and optimized a YOLO-based object detection model improving detection accuracy from 94% to 98% through iterative tuning, validation, and testing workflows.
• Processed and optimized 300+ annotated video samples improving model robustness, inference efficiency, and operational performance.
• Gained hands-on exposure to Agile and Scrum-based development environments through sprint tracking, stakeholder demos, project presentations, documentation workflows, and cross-functional collaboration.
• Collaborated with project leads and stakeholders during sprint reviews and solution demonstrations communicating project progress, gathering feedback, and supporting delivery planning.

Bachelor of Technology - Computer Science Engineering with Minor in IoT - Vellore Institute of Technology, Vellore (2021 - 2025)