Headline

Product & Revenue Strategy @Delhivery | Warwick Business School

About

Aarushi is an absolute learner and an aspiring Product Management enthusiast, with a professional experience in Business Analytics and Strategy. With a Bachelor of Technology degree in Electronics and Communication Engineering, complemented by MSc Business Analytics from Warwick Business School, UK, a leading Russell Group Business School. Aarushi's educational background merges technical rigor with actionable strategic business insights. Currently at Agoda she focuses on building processes, transforming complex data challenges into strategic insights that enhance decision-making with business objectives, driving efficiency and delivering meaningful results. Core Skills: - Data Analysis & Interpretation - Business Intelligence & Strategic Planning - Project Management & Process Automation - Cross-Functional Collaboration & Team Leadership - Continuous Learning & Adaptability Industry Expertise: -Proficient in programming languages like Python and R, as well as data visualisation tools such as Tableau, Looker Studio and MS Excel. Her journey is fueled by a passion for continuous learning about innovation and a commitment to delivering data-driven solutions. She thrives in collaborative environments that challenges her to apply skills and drive tangible results in innovative ways. Aarushi aims to create impactful product solutions that meets evolving needs of users worldwide. Let’s connect and explore how she can collaborate to drive meaningful change.

Location

India

AI stack

claude code

claude

codex

gemini

hugging face

replit

Work experience

Product Strategy - Assistant Manager at Delhivery, Jun 2026 - Present · 6 mos, Bengaluru, Karnataka, India

Business Analyst - Supply at Agoda, Sep 2025 - Jun 2026 · 10 mos, Gurugram, Haryana, India

Data & Strategy Intern (Founder's Office) at Podium, Jul 2025 - Aug 2025 · 2 mos, Singapore, - Spearheaded the 0→1 development and automation of Podium’s central data lake, transitioning from manual data entry to an end-to-end automated analytics pipeline using Python, reducing reporting time by 80% and enabling real-time insights across departments. - Engineered an AI-driven analytics framework leveraging LLM and NLP models to generate automated campaign insights, community sentiment analysis, and engagement summaries for 300+ users. - Developed churn prediction and customer segmentation dashboards, driving targeted re-engagement and acquisition campaigns that improved retention by 25% and boosted event footfall by 30%. - Formulated and executed GTM strategies for new community initiatives, integrating behavioral analytics and campaign A/B testing to enhance activation, conversion, and long-term member engagement. - Collaborated directly with the Founders’ Office on financial analytics, event P&L tracking, and ROI optimization, aligning data strategy with business growth and expansion planning. - Built interactive event engagement dashboards to analyze audience behavior, informing data-backed decisions for future programming and content roadmap.

Associate- Inventory ops at Headout, Jun 2023 - Jul 2024 · 1 yr 2 mos, Bengaluru, Karnataka, India, - Orchestrated end-to-end integration of real-time inventory APIs across 3+ global supply partners, optimizing data flow and system reliability; cut booking failure escalations by 40% and improved live availability across top EU markets. - Co-developed an AI-enabled monitoring and RCA framework with Data & Tech teams to detect Selenium/API anomalies, reducing retry loops and resolution time by 90%, saving 6+ manual hours/day and boosting booking success rate by 35%. - Pioneered migration of manual pre-procurement workflows to a Retool-based platform, enhancing automation and visibility across Dubai and France markets; lowered booking fulfilment errors by 30% and accelerated partner onboarding by 40%, saving 20+ hours/week. - Led GTM and go-live execution for a flagship European launch, aligning BizDev, Ops, and Tech to build procurement and fulfilment tracking; achieved a 20% surge in bookings within two weeks of launch and strengthened regional customer acquisition funnels. - Designed SQL-driven dashboards and performance analytics to track north-star metrics across conversion, supply uptime, and partner SLAs; insights reduced escalation rates by 40% and informed roadmap priorities for inventory reliability.

MITACS GRI'22 Intern at University of Alberta, Jun 2022 - Aug 2022 · 3 mos, Edmonton, Alberta, Canada, - Directed a 0→1 data research initiative with political science collaborators, leveraging AI, ML, and NLP pipelines on multi-provincial social media and demographic datasets to enhance voter behavior modeling. - Synthesized insights into strategic recommendation reports for policymakers, aligning data intelligence with GTM and voter acquisition objectives to optimize campaign ROI and regional prioritization. - Engineered scalable data pipelines and interactive dashboards, integrating real-time engagement data to cut preprocessing time by 50% and enable instant insight generation across regions. - Applied advanced segmentation and clustering algorithms to improve audience precision by 35%, driving targeted outreach recommendations that informed campaign GTM strategy. - Built predictive analytics frameworks to interpret sentiment and topic trends using transformer-based NLP models, uncovering regional voting patterns and engagement drivers.

Education

Master of Science - MS, MSc Business Analytics, University of Warwick - Warwick Business School

Bachelor of Technology - BTech, Electronics and Communication, Vellore Institute of Technology