Dushyant Thandele

Profitability & Growth Strategy | Lending Tech & Product | Data Science & AI Innovation 🔹 Profitability & Growth: Built a bottom-up strategy for Velocity’s lending business, targeting 23% IRR & 0.5% ROA by 2025. Drove 40% YoY revenue growth through ML-driven lead scoring & high-ticket customer targeting. 🔹 Lending Tech & Product: Led underwriting tech, launching Velocity’s platform for NBFCs & banks ($300MM market). Developed GTM strategy, securing 25+ institutional leads. Showcased innovations at GFF'24. 🔹 Data Science & AI: Scaled AI-driven analytics—automated 70% of loan underwriting, cut TAT by 50%, optimized lead prioritization (2X sales efficiency), and enhanced VaniAI's AI calling with RL-based prompt optimization.

🔹 Growth Strategy & Ops: Built Velocity’s outbound sales playbook—100K+ D2C brands database, automated email & WA campaigns, and optimized sales funnel—driving 90% of revenue via this channel. 🔹 Growth Operations: Established & led Growth Ops, managing CRM and enriching brand data to enhance targeted outreach & revenue growth.

🔹 US Power Generation Firm ($14B+ rev): Developed a Startup Optimizer Tool for CCGT fleet, saving $2MM/year in fuel costs. Deployed ML models for anomaly detection, reducing equipment failures and saving $8-9MM/year. 🔹 Global IT Service Provider ($19B+ rev): Optimized people supply chain operations, driving a potential $40-50MM yearly impact. Built an Execution Planning Model predicting skill demand with 90%+ accuracy, enabling proactive hiring.

🔹 Global Card Payment Tech Company ($35B+ rev): Led a cross-functional team of 7 to build a merchant repository capturing $350MM+ monthly transactions & identifying 5K+ merchants. 🔹 Data Operations & Agile: Spearheaded data ops as Scrum Master, driving agile execution & translating complex business needs into JIRA-driven execution. 🔹 Data Integration & Enrichment: Architected a POC with ~90% match accuracy using Levenshtein & Jaro-Winkler algorithms for third-party dataset enrichment.

🔹 Medical Ed-Tech Co. ($6B+ rev): Supported a leading US medical information provider in database management, marketing, sales, and customer management. 🔹 Customer Retention & Management: Built a statistical model to identify at-risk customers for a subscription-based product, leveraging 300+ variables. Developed retention & usage reports, improving customer retention by 300 bps.

Recommendation Tool: Similar to any e-commerce portals' product recommendations, built a recommendation tool to recommend buyers for each car on the basis of Matrix Factorization and Rank Minimization.

Pricing Engine: Created a statistical model for predicting fair market value for a used car which was used as an informational and marketing tool on the website. Used generalized linear model in R. This led to an overall improvement of 10% in company's appointment conversions.

Buildzar was one of India's first home construction and improvement platform. It lets you buy and sell building materials and solutions online. - Internship involved creating algorithms for an online product named Beztimate, an online tool for estimation of amount of construction and finishing materials, cost of house construction on turnkey basis - complete home construction planning tool for individual home buyers. Algorithms were developed and implemented majorly in excel and python. - Beztimate got featured in multiple online articles.