Nov 2025 – Jan 2026 · 2 mos

• Built Ideal Customer Profiles (ICPs) using constraints like employee count, annual revenue, and industry
• focus. Sourced 30+ target companies daily using Apollo.io. Identified key decision makers (Business
• Development Heads) using Prospeo and extracted verified emails and phone numbers for outreach.
• Executed 50+ cold calls daily, consistently executing 2–3 demo calls per day. Led end to end outbound
• sales cycle: prospecting, cold calling, demo coordination, proposal sharing and pilot discussions. Sent sales
• proposals via email and coordinated early partnerships, pilots, and enterprise prospects.
• Managed CRM using Airtable, tracked funnel stages, lead movement, and conversion metrics. Collected and
• analyzed customer feedback post demo and translated insights into product and feature
• requirements. Worked with founder, tech, and product teams to brainstorm, evaluate, and prioritize
• feature additions.
• Collaborated with founder on pricing strategy and tested new 3-month pricing plans to improve
• customer acquisition. Supported business strategy through market research, competitor analysis, and
• industry mapping.
• Researched VC firms aligned with company’s investment thesis and sourced partners and investor contacts
• using prospecting tools. Built financial models and pitch decks for fundraising. Executed investor outreach
• via cold emails and pitch deck distribution

Jul 2025 – Sep 2025 · 2 mos

• Helped founders take GTM decisions using TAM–SAM–SOM market sizing models (top-down
• bottom-up) and Market Mapping and Competitive Landscape Analysis models for the firm’s V2X
• Box product identifying major OEMs, Tier-1, and Tier-2 suppliers in the ecosystem.
• Designed a detailed pricing strategy by estimating hardware and non-hardware component costs,
• calculating COGS, and modeling gross margin scenarios (30%, 35%, 40%) enabling the founder to
• decide target selling prices, contribution margins, and break-even volumes.
• Projected 5-year revenue forecasts by analyzing Mercedes-Benz annual reports, estimating potential V2X
• adoption (20% of vehicles), and computing quarterly revenue growth. Developed a 5-Year Operating Plan
• and partnered with the founder to test assumptions about fundraising timelines and milestones
• Performed valuation analysis using Comparable Company and Precedent Transaction methods,
• applying EV/Revenue multiples (4x–6x) and discussed outcomes with the founder to frame valuation
• expectations
• Contributed market, pricing, and financial insights to fundraising pitch decks for the Mercedes Autobahn
• event, helping shape the investment narrative presented to OEMs and potential investors.

Apr 2025 – Jun 2025 · 2 mos · Bengaluru, Karnataka, India

• Worked with the Founder’s Office to interpret trends and define growth milestones to scale from 2 Cr
• to 8 Cr and 25 Cr ARR. Analyzed P&L data since inception and operational metrics such as daily
• orders and average ticket size to reconstruct historical revenue trends. Forecasted orders/day,
• average ticket size, and revenue for 2 years (8 quarters) using MoM, QoQ, and YoY growth multiples.
• Built Direct Expense and Operating Expense forecasts using common-size analysis and industry
• COGS/revenue benchmarks to project Gross Profit and EBIT. Conducted horizontal (trend) and
• vertical (common-size) analyses to identify optimization areas suggesting the founder to reduce
• consulting costs, improve marketing efficiency, and lower CAC over time.
• Built a detailed dynamic runway analysis cash flow model (Corkscrew method) to assess how the 5 Cr
• fundraise sustains operations under different growth trajectories scenarios, informing the founder about
• breakeven months, funding gaps, and capital raise strategies for scalability.
• Presented findings to the Founder’s Office, collaborating closely to refine financial projections in line with
• their growth assumptions, break-even goals, and fundraising timelines and incorporated feedback across
• multiple iterations to align forecasts with strategic objectives.

Feb 2025 – Apr 2025 · 2 mos · On-site

• Monitored NSE market trends and Bank Nifty movements daily by analyzing live CNBC broadcasts and
• market data. Built detailed financial models for the banking (ICICI, HDFC) and steel sectors (JSW, Tata
• Steel) to assess performance and valuation.
• Extracted and cleaned financial data from annual reports, prepared income statements, balance
• sheets, and cash flow statements in Excel. Conducted common-size analysis and ratio analysis
• (solvency, activity, profitability) to evaluate company fundamentals.
• Developed fixed asset and debt schedules to support volume and selling price forecasting. Derived
• intrinsic valuations using Discounted Dividend Model (DDM), Free Cash Flow to Firm (FCFF),
• and Relative Valuation techniques.