DEEPANSHU GURNANI

🔹 Behavior Based User Segmentation - Developed a behavior driven segmentation framework, moving beyond traditional value-based approaches. This enabled deeper understanding of user traits and feature usage patterns among high-value users, and informed personalized journey design to improve adoption and engagement across segments.

🔹 INR Futures Product Strategy & Impact - Led the use case development for INR Futures, addressing a key adoption barrier for new futures traders. The product launch drove a 2x increase in weekly transacting users (WTU) and a 3x surge in weekly trading volume within 7 months.

🔹 Strategic Product & Revenue Insights - Partnered with the Leadership team to deliver strategic insights on the product roadmap, analyzing revenue impact and business value of upcoming features. This work played a key role in prioritizing high-ROI initiatives and aligning product efforts with long-term business goals.

🔹 Growth Analytics & User Insights - Collaborated with the Growth team to drive cross-sell of the derivatives product to previously acquired users. Delivered actionable insights on cross-sell propensity, monthly retention, core churn drivers, and transaction behavior, enabling more targeted and effective outreach strategies.

🔹 Campaign & Competition Performance Analysis - Partnered with Growth to evaluate high-impact campaigns such as Trading Premier League (TPL) and Trading Dangal. Analyzed performance metrics during and post-competition, provided detailed insights on user engagement, impact, and ROI, helping refine future campaign strategy.

🔹 Product Feature Launch & Experimentation - Worked closely with the Product team on new feature rollouts. Led experiment analysis, adoption and drop-off funnel deep dives, and identified key user pain points across the journey — delivering insights that informed iterative improvements and enhanced user experience

🔹 Token Listing Model Development - Designed a predictive model to analyze token sentiment, price action, and volume trends — enabling early identification of momentum tokens. This resulted in timely listings, enhanced user investment opportunities, and contributed to improved user retention and lifetime value (LTV).
🔹 Fund Optimization Model - Developed a fund allocation model to optimize capital deployment across third-party exchanges. This improved trade efficiency, reduced manual operational checks, and significantly lowered custodial risk — bringing external custody exposure down by 60%.

🔹 Crude Oil & Refined Product Futures Trading - Managed a dynamic portfolio of Crude Oil and refined product futures contracts, leveraging a blend of fundamental analysis (OPEC decisions, inventory data, geopolitical shifts) and technical indicators to inform trading strategies and optimise risk-adjusted returns.
🔹 Global Oil Market Analysis & Forecasting - Monitored global news and macroeconomic trends to identify market-moving developments, forecast oil price movements using historical data, and adjust portfolio positions accordingly. Delivered timely insights that contributed to more responsive and data-driven trading decisions.
🔹 Cross-Team Market Knowledge Sharing - Presented weekly global oil market analysis to a team of 16 market analysts, covering current themes, trend forecasts, and strategy implications — enabling collaborative discussion and shared market outlooks across teams.
🔹 Algorithmic Trading & Strategy Optimisation- Executed trades using back-tested algorithmic strategies. Maintained detailed trade logs and conducted P&L and curve analysis to evaluate strategy performance and uncover opportunities for optimisation.