• Lead strategic initiatives, operational improvement projects, product incubation for 11 portfolio companies• Identify, drive technical roadmaps, process improvements, automation across IT systems: order platform, customer service, billing• Scope, implement strategic initiatives; partner with CEO/CxOs, product + functional teams of portfolio companies, create value, growth• Develop investment cases + financial models for acquisition candidates; drive industry research, expert interviews, risk profiling • Identify, forecast value capture of key levers such as operational & product improvements, business model changes, synergy savings• Drive development, implementation of Ops tools: Build price quote app, margin estimation app, data acquisition automation tool• Guide product vision + R&D spending: Identify new product opportunities, build roadmaps, MVPs, monetization path, model revenue• Influence executive decision-making: Host weekly meetings to present actionable proposals, debate data, research, insights, KPIs• Develop data-driven recommendations on business strategy, actionable initiatives; drive end to end implementation and coordination • Build financial models to serve as stakeholder decision tool and to forecast revenue, margin effects of strategic proposals• Identify, design new monetization frameworks + business models; define pricing plans, subscriptions, usage-based plans, packages • Uncover opportunities to innovate through data deep-dives on invoices, sales + market data; define & track customer segments• Drive product usage & adoption: Interview customers, industry experts, marketing, sales; integrate leanings into strategy development

Realtor.com + Zillow are the Top 2 Tech firms monetizing B2B / B2C cloud SaaS, consumer leads for Real Estate agents, ad products• Lead operation & development of automation systems for dynamic AI pricing, lead routing, fraud detection, sales ops systems• Build growth and product strategy, strategic planning, pricing, monetization for B2C/B2B SaaS products; guide business model change• Set vision, execute initiatives: Guide cross-functional team of 18 people + lead 5 direct reports in product, engineering, data science• Automate call center call queue prioritization: Develop business case, algorithm, process for sales, customer service, retention, collection calls to optimize revenue + customer experience • Lead building of technical roadmaps, drive executive alignment on prioritization on new system tools, product & feature development • Guide team to ideate, launch, iterate on new SaaS, lead and advertising products & tools• Build AI / ML dynamic pricing product and evolution path to launch lead pricing in 41,000 ZIP markets adapting to demand changes• Drive alignment + C level decisions: Host weekly leader meeting with actionable proposals, analytics• Develop business cases, proposals, financial models, data insights for executives to decide on prioritization and product roadmap• Build fraud tool to detect unusual sales patterns; prevent revenue leakage• Operationalize technical + sales tools: SFDC, CPQ, QTC, forecaster• Develop new technical system to set real estate lead pricing on ZIP code level• Lead technical AI component development, AI safety + supervision• Build analytic teams to extract and develop key strategic recommendations and monitor SaaS KPIs: ARR renewal rate, price realization, ACV, churn, CLV• Lead business + monetization model change to marketplace lead platform connecting consumers to real estate agents with commission revenue-share monetization adding to selling prepaid leads; algorithm decides monetization path

Clients include airlines, consulting firms, hotels, hedge funds, private equity firms• BIG3 CONSULTING FIRM - Support Top 5 airline client project, RM department re-organization, pricing processes• VivaColombia (RYANAIR affiliate – Top#1 EU airline by passengers, Irelandia portfolio) Medellin, Colombia• Develop AI/ML Pricing & Analyst Reviewer Team• Develop automated inventory pricing controls; launch hidden advance purchase, dynamic load grids, fencing, multi-country PoS

GoAir is India’s 5th largest carrier with a fleet of 47 Airbus A320 aircraft and 1,600 weekly flights across 28 national and international destinations, experiencing high growth with an order book of 144 Airbus A320 Neo aircraft • Lead team of 52 people to launch AI/ML platform + build analyst reviewer team. Automate dynamic pricing on 83,000 flights• Build ecosystem of tools for reviewers: Develop Booked Revenue Index tool. Iterate on AI/ML systems: Fine-tune algorithm, data cleaning• Direct pricing, analytics, network planning, group desk with airRM, Navitaire; develop demand profiling tool, GDS distribution; develop fencing, inventory rules, data cleaning, eventing, hidden AP, PoS pricing, group displacement fares

NIDABI develops consumer products licensed by Fox, Warner Bros. Top retailers: Nordstrom, TJ Maxx, Forever 21, Zumiez• Expand B2C and B2B e-commerce to 30+ countries: Website, marketplaces, payment processing, customs processes, fulfilment logistics; set business model, intl. pricing, terms• Setup, manage ERP cloud for B2C/B2B Sales (Shopify / Brandboom), Wordpress, inventory, CPQ, accounting, order fulfilment

Lufthansa Group is the largest airline in Europe (Top 4 globally) with 10+ brands including Lufthansa, Swiss, Austrian, Brussels Airlines and $35 billion in revenues. bmi was the 2nd largest airline at London Heathrow, Europe’s busiest airport prior to the sale to British Airways• Build, operationalize AI / ML platform. Lead, train human analyst reviewer team to leverage AI/ML platform to oversee + automate dynamic pricing of 21,000+ concurrent flights on sale; adapt prices to dynamic demand seen in data over 12 month booking period • Identify challenges with reviewer platform; design tool & platform roadmap, key initiatives by partnering with engineers, vendors, ops• Lead, develop team of 10 human analysts with $314m in revenues; direct pricing & revenue management• Optimize manual analyst review queue tool for flights with abnormal booking pattern; iterate on system parameters, prioritization logic• Build ecosystem of tools, team processes, data reports, define work flows for reviewer team to drive accuracy, revenue outcomes• Improve AI/ML systems by using simulated data to test AI/ML response to booking data scenarios; define and run tests in sandbox • Increased revenues 36%-45% vs. prior year by building new reviewer team & AI systems; leverage Sabre AirMax, Amadeus Altea• Curate AI / ML model training data + team processes: clean and pre-process booking curve data, remove outlier data • Fine-tune AI / ML model to ensure alignment with business goals and fix model behaviour issues within sandbox• Develop fraud detection systems that prevents fraudulent bookings and triggers manual review• Lead team on analysis, dashboard & report building using booking curves data, baseload KPIs• Lead corporate contract integration for first airline revenue-sharing JV for Lufthansa, United, Continental, Swiss, Austrian Airlines• Ideate, develop launch PoS availability analytics tool to focus sales force on sellable local PoS inventory in all 5 global markets

Manager Alliances – LUFTHANSA, New York, USA• Ideate, develop launch PoS availability cube, an analytics product to focus sales force on sellable inventory in all 5 global markets• Developed JV implementation, guiding principles and sales strategy as member of LH A++ project team and joint working groups • Project Lead for A++ JV corporate contract conversions: Increased conversion speed to joint JV contracts by detecting issues, aggregating JV partner data, building monitoring system and monitoring progress for Lufthansa, United, Continental, Swiss, bmi• Represented all LH group carrier interests at Star Alliance Country Steering Council Americas Senior Specialist Revenue Management & Network Planning, North & South America – LUFTHANSA, New York, USA• Built effective Revenue Management support function within Americas: Assessed local demand and market changes for HQ; Followed-Up on sales channel level issues, recommended actions and served as primary contact for HQ revenue managers• Authored strategy papers for the Lufthansa Americas executives and LH board on network planning initiatives and sales strategy• Built reports and Ad-Hoc analysis on route, sales channel, agent and PoS level to solve issues and target sales force actions Major Achievements: • Acquired A++ Joint Venture Building expertise: corporate contract conversions project lead, working group member• Developed key commercial projects in the Americas region to generate incremental revenues and advance sales strategiesProject Lead Assignments: • Group airline commercial integration: Managed bmi integration in the Americas including sales, contracts, reporting, marketing• Revenue management development: Conceptualized test cases to differentiate availability by channel and booking time: Tested incremental low class availability restricted to cost-saving online channels on evenings and weekends to avoid corporate downsell

* Developed business model and monetization strategy with founders* Developed strategy on obtaining angel and VC investor funding; built revenue and profit projections for investor presentation* Conceptualized new revenue streams and products; researched new business opportunities and competitor business models

* Advised over 100 clients exploring strategic options (Buyside, Sellside, Mergers)* Performed company valuations using multiples and DCF methods; projected income statements and balance sheets* Built flexible financial models for various merger and acquisition transaction scenarios* Analyzed companies, competitive dynamics, industries and trends; authored extensive research reports and client presentations* Developed new business practice in tourism that yielded over 20 clients within 2 months of launching with $42M deal pipeline* Led prospective buyers, sellers and investors through Due Diligence and various other stages of transactions* Selected transaction experience: Microsoft / Winternals (Sellside), Nighthawk / ATN (Buyside)

* Drafted business model for web-connected medical monitoring device; conducted market analysis and oversaw software testing* Significantly improved product-to-market timeline by researching and initiating contacts to potential technology partners* Performed patent analysis comparing development-stage product with existing patents; presented materials to lawyer

* Implemented CRM system for creating, printing and mailing standardized customer letters in 12 European markets* Promoted to analyst after improving letter code system; conducted user testing and post-implementation bug-fixing