Abash Lal:

WA) One-click ordering from stock tips and AI based scoring to find trustworthy finfluencers • Defined product roadmap for varied market scenarios and aligned the operating model with strategic imperatives to deliver exceptional customer experience after integrating customer feedback and launch MVP with 200+ users in first month, now at $10k+ MRR growing at 25% month on month through SaaS model • Built a feedback ecosystem to capture anecdotes and Voice of the Customer to fuel product/program roadmaps and set leadership strategic direction. • Created and executed a scalable go-to-market strategy to on-board finfluencers and amateur traders from social media channels • Defined strategic and operational KPIs such as DAUs, Gross Transaction Values, Repeat orders across cohorts. • Managed tech and product teams of 8+ members to prioritise features, through trade-offs across stakeholders • Used data analysis to identify a billion-dollar scraping model to set accountability to buy/sell signal generated through tweets/messages on various social media platforms, transferred those insights into actionable scoring model and filtered the noise around discovery of trustworthy finfluencers in investing world

Online retail fuel ordering, exit to Reliance Industries • Managed a 70+ headcount SaaS org across program, product, BI and Business Development teams, responsible for scaling the MVP from zero to $1M annual revenues in 3 yrs (25% m-o-m growth later) sourced from 35 enterprise clients such as Amazon after raising $5m from Gennext Ventures for funding operations in two 15M+ populated cities • International expansion of SaaS business of fuel tracking to South-East US customers • Led the team to reduce driver attrition rate by 40% and improve driver score by 25% within 1 year for 100+ fleet of vehicles plying to cater last mile delivery • Developed the business plan, strategic product vision and roadmap for the first ever, highly ambiguous, online fuel delivery business to scale up the product in highly regulated market

India) Online retail fuel ordering • Reduced the operational costs of clients by 40%, improved their customer satisfaction and streamlined their fuel procurement process through IoT based fuel delivery process • Built and leveraged relationships with C-suite level Partner executives, establish deal frameworks, negotiate unique services, rates, and products based on customer needs. • Drove financially viable, high-volume programs and products that provide service providers and end users with top-tier business solutions, and selection with the objective of driving growth and reducing enforcement actions for false-positives. • Led internal and external reviews providing consistent rhythm of business, including strategic initiatives, facilitating WBR/MBR/QBR/BRD docs to key stakeholders at the director/VP/SVP/Board of Reliance level to generate buy-ins 1 • Led multiple cross-functional teams of 35+ people across product, BI, tech and ops team across geographies to prioritise IoT projects alongside other app development projects • Leveraged artificial intelligence (AI) and data analytics-based algorithms to automate the forecasting of fuel ordering from clusters within the city resulting into reduction in delivery trips by 25% and savings of 22% in operational expenses • Managed ambiguous and complex features through incrementality model across 40+ member team in tech, BI and operations team to cut operational costs by 35% in less than two quarters through route optimization features • Achieved Net Promoter Score (NPS) of 90+ and customer retention rate of 95%+ alongside setting up other strategic and operational success metrics such as customer acquisition cost, customer growth, gross margin, utilization levels etc.

India) Online chauffeur-less car rentals startup having operations in two Tier-1 cities with 30k+ cars • Led a 25% monthly growth in revenue helping Zoomcar become the largest player in the Indian car rental space • Spearheaded a novel initiative of one-way car rentals and key less entry into the cars leading to incremental 10% revenue contribution and 500k+ incremental MAUs in two months of launch • Led the team to improve driver led metrics - customer escalations etc for last mile home delivery of cars vertical • Leveraged data analytics and tech team to build new analytics tools and evaluation models to deliver step changes delivery SLAs • Improve conversion rate by 25% by monitoring results from multi-channel attribution modelling, incrementality, A/B testing, macro conversions (retention rate, cohort analysis) and micros conversions (abandoned carts, view pricing etc). • Led the metrics (NPS, retention rate, Monthly Active Users) driven product development efforts to prioritise features and monitor the development using tools such as Google analytics and Hubspot