# Punit Khanolkar > GTM Engineer @ Clipbook | Data & GTM Analytics | Revenue, Outbound, and Growth Systems Location: San Francisco, California, United States Profile: https://flows.cv/punitkhanolkar I work at the intersection of go-to-market strategy, data, and growth systems, helping teams turning signal into revenue. I am currently a GTM Engineer at Clipbook, where I focus on outbound strategy, analytics, and building scalable workflows for revenue teams. My work includes leveraging AI agents, automation, and data analytics to help organizations understand narratives, prioritize accounts, and drive pipeline. Previously, I've built data-driven outbound and data pipelines, combining analytics, automation, and experimentation to help teams move faster and make better GTM decisions. I enjoy collaborating with cross-functional teams and working on problems where data, product, and go-to-market strategy meet. Github: https://github.com/Punit2001 Other Interests: Fintech, Venture capital, Health tech, AI Agents Feel free to reach me anytime at punitbytes@gmail.com. ## Work Experience ### GTM Engineer @ Clipbook Jan 2026 – Present | San Francisco, CA Building AI for communications and corporate affairs. Clipbook is the first AI system of record for communications - analyzing the world of external data to deliver real-time and predictive intelligence for high-stakes decisions. Trusted by 200+ enterprises, firms, and government agencies across the globe - from the Boston Consulting Group to Weber Shandwick - to turn external data into action. Backed by Mark Cuban, Commonweal Ventures, and Carpenter Capital. ### Business Analyst @ Dreamable, Inc. Jan 2025 – Jan 2026 | San Francisco, California, United States Dreamable is a venture studio based in San Francisco focused on building practical solutions using AI agents, no code, and low code tools. • Designed enterprise quality intelligent agents in n8n and Flowise for tasks such as customer support, data extraction, and content generation using GPT-4 and vector search (RAG). • Integrated AI agents with real-world apps like Slack, Airtable, Google Sheets, and Notion via n8n to automate end-to-end workflows. • Defined product requirements and mapped user journeys to ensure AI agents delivered measurable value aligned with business objectives. • Conducted experiments and collected user feedback to refine agent behavior, improve prompt performance, and enhance tool integrations. • Owned outbound motion for Shimmer, Dreamable’s AI agent marketplace — researched AI creators, built targeted prospect lists, ran multi-channel outreach, and booked qualified meetings to grow platform adoption. ### Business Analyst Intern @ Sybil Health Jan 2025 – Jan 2025 | San Francisco, California, United States Sybil Health is a healthcare startup with a focus on women’s health. • Assessed data sources for reliability, cleaned and transformed raw data, and engineered features to support analysis. • Contributed to data strategy by researching regulatory requirements and supporting compliance initiatives. • Conducted data analysis and provided input on strategic proposals to optimize data models and support continuous improvement efforts. ### Venture Capital Intern @ Venture Starters Jan 2025 – Jan 2025 Venture Starters is a startup ecosystem for founders to virtually pitch to investors, connect with other founders, and accelerate their progress. • Participated in a dynamic virtual community focused on empowering early stage startups. • Attended weekly meetings, engaging in discussions around founder pitches, company launches, and funding rounds. • Gained insights into startup growth, market readiness, and investment opportunities for joining startup teams. • Networked with entrepreneurs, investors, and professionals within the startup and venture capital ecosystem. ### Business Consultant @ Malloy Group Jan 2025 – Jan 2025 | San Francisco, California, United States Malloy Group is a Management Consulting group that crafts solutions for its clients. • Configured a pipeline using InfluxDB and Telegraf to monitor and analyze Kubernetes pod resource usage for a client, helping optimize allocation and minimize future scaling expenses by mitigating over-provisioning of cpu and memory resources. • Created and deployed custom YAML manifests to manage resource limits for secure and efficient application performance within Kubernetes cluster. • Scheduled weekly meetings with client as team coordinator for a team of six to check progress and align on tasks. • Facilitated and streamlined team activities in design sprints. • Authored comprehensive technical documentation regarding the deployment, configuration, and monitoring workflow of a Kubernetes cluster using Minikube, Telegraf, and InfluxDB ### Data Analyst Intern @ Puddletown Chess Jan 2024 – Jan 2024 | Remote Team lead for a team of 6 over the six week internship containing 3 overall project deliverables, entailing a market landscape analysis, attracting new donors, and increasing brand awareness. • Managed a team of 6 over the six-week internship, containing 3 deliverables that enhanced the company’s strategic positioning. • Developed actionable recommendations for a market strategy that significantly improved decision-making. ### Data Analyst Intern @ Highlyte AI Jan 2022 – Jan 2022 | San Francisco, California, United States Collaborated with cross-functional teams to integrate data insights into business strategies and operations. • Led a team of 5 data analysts to uncover actionable risk insights from 5000 image, text, and audio-based assets. • Utilized Python and Jupyter Notebook to streamline data analysis and file categorization. • Conceptualized analytical data into insightful visuals using Tableau, Seaborn, and Plotly and communicated technical knowledge and insights to non-technical audience of stakeholders. • Generated a liability report from findings, made recommendations to improve marketing strategies, and lowered risk of compliance policy violations by 45%. ### Financial Analyst @ USF Stock Investment Club Jan 2021 – Jan 2021 | San Francisco, California, United States Financial analyst at the USF Stock Investment Club. • Led weekly meetings on US and global stock market updates and stock pitches stock to 50+ members. • Created DCF and CCA financial models to determine company valuations and forecast growth. ### Head Of New Media Department @ USF Stock Investment Club Jan 2020 – Jan 2021 | San Francisco, California, United States Board member and head of department. • Built, managed, and updated the organization’s website. • Represented the Stock Investment Club at professional networking and collegiate events. • Led a team of 8 members to increase engagement by 130% across social networking platforms. ### Data Science Intern @ ScrubBill.com Jan 2021 – Jan 2021 | Cape Town, Western Cape, South Africa Led a team of 3 data scientists to create predictive models and forecast sales outcomes. • Analyzed sales trends over past 3 years and created a time series model forecasting the monthly waybill revenue growth. • Composed a report and presentation highlighting key elements of the model and company recommendations based on sales analysis. • Performed data cleaning, feature engineering, data analysis, and data visualization using Pandas, Seaborn, Sqlite3, and Sci-kit learn libraries for Python. ### Consultant @ Cratos Chargers Jan 2020 – Jan 2020 | San Francisco, California, United States Technology Consultant for a portable mobile charger rental startup. ### Computer Vision Researcher @ Pioneer Academics Jan 2018 – Jan 2018 Student researcher selected to work on an undergraduate level research paper. • Researched image processing and computer vision techniques such as geometric and morphological transformations and line and feature detection. • Segmented images, tracked colors and motion, and investigated face detection using Kalman Filters. • Created a fall detector program using Python and OpenCV that passively monitors people of an elderly age. • Co-authored a computer vision research paper with Prof. Susan Fox (PhD) from Macalester college. ## Education ### Bachelor of Science - BS in Business Analytics University of San Francisco ### Data Science in Data Science iXperience ### Summer Diploma Program in Computer Science Oberlin College ## Contact & Social - LinkedIn: https://linkedin.com/in/punitkhanolkar - Portfolio: https://punitkhanolkar.com --- Source: https://flows.cv/punitkhanolkar JSON Resume: https://flows.cv/punitkhanolkar/resume.json Last updated: 2026-04-10