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Results-driven marketing leader with 7+ years of experience running high-impact campaigns across B2B and B2C markets. I've managed $5M+ in ad spend, scaled brand presence, and built cross-functional programs that consistently outperform growth targets — turning data into decisions that move revenue.
Rebuilt HubSpot campaign architecture with behavioral segmentation & multivariate A/B testing — open rates 10%→55%, CTR 1%→41% in 90 days.
Spearheaded editorial calendar & engagement framework driving 150% follower growth and engagement from 5%→42%.
Directed $250K+ Google, Meta & Amazon budget with precision targeting, smart bidding & continuous creative iteration.
Led end-to-end digital transformation — Shopify + HubSpot CRM implementation driving 12× sales and 5× retention in 6 months.
Built Salesforce MC & Marketo automation with behavioral triggers and dynamic segmentation — cut churn 25%, lifted LTV 60%.
Managed $5M+ for Oracle, HP, Rolex & COTY at Publicis — 250% conversion growth, 180% ROAS improvement across multi-market campaigns.
From Fortune 500 agency work to consumer brand ownership to startup consulting — 7+ years of making marketing budgets work harder.
7+ years of hands-on platform experience. Hover any tool to see proficiency level and what I've achieved with it.
Graduating May 2026 · Open to full-time roles in Marketing Management, Performance Marketing, and Marketing Analytics.
Tailored versions for different roles — pick the one that fits your opening.
Full-funnel strategy, brand positioning, demand gen & team management.
MTA, MMM, GA4, SQL, CLV modeling, attribution frameworks & BI dashboards.
Multi-platform social strategy, content calendars, paid social & community growth.
Paid search, SEO, CRO, programmatic, email automation & full digital ownership.
Smart bidding, ROAS/CPA optimisation, A/B testing, attribution & media mix.
7 projects from the MS Marketing Analytics program at UT Dallas. Click any card to expand, then download the PDF or view in Google Drive.
An in-depth analysis of consumer price perception and willingness-to-pay across product categories. Examined psychological pricing strategies, price elasticity, and how contextual framing affects purchase decisions and brand perception.
Brands should leverage tiered pricing models, anchor high to justify mid-tier purchases, and test charm pricing in e-commerce for maximum conversion impact.
Graduate Marketing Analytics Program · UT Dallas · Fall 2024
Comprehensive GA4 analysis of Nike's digital properties comparing October 2023 vs October 2024. Analyzed revenue by traffic type, visitor demographics, device category, channel grouping, and average order value.
Invest in retention programs to address the returning user decline. Double down on email marketing given its exceptional revenue growth. Optimize mobile experience and target US, Canada and India with localized campaigns.
Group 8 — Rahul Modi, Janani Dhanasekaran, Gaurav Purohit
Full go-to-market strategy for Active Momentum, a fictional online fitness startup targeting busy families in Richardson, TX. Covered market sizing, SWOT, pricing, 4-quarter marketing roadmap, and financial projections.
Q1 digital launch with localized SEO + paid social. Q2 brand engagement campaigns. Q3 habit reinforcement and referral programs. Q4 corporate wellness partnerships and mobile app launch planning.
Group 6 — K V H Siddarth, Sampath Mukkavilli, Gaurav Purohit, Advaith Ram Ravichandran, Debangkur Das
Investigated whether productivity apps improve student academic performance. Surveyed 151 DFW-area students using Qualtrics, analyzing platform preferences, feature desirability, and impact on grades, time management, and procrastination.
App developers should prioritize AI-driven suggestions, LMS integration, freemium pricing, cross-platform support, and collaboration features to capture the student segment effectively.
Group 4 — Shweta Apte, Kavita Khetavat, Neethika Reddy, Nissy Shirley, Gaurav Purohit
Comprehensive Customer Success Management plan for Nike focused on post-purchase engagement, retention optimization, and lifetime value maximization. Outlined success milestones, health scores, and proactive intervention triggers.
Implement tiered CSM coverage: high-touch for premium accounts, tech-touch for mid-market. Build automated health scoring dashboard and deploy proactive outreach at key churn-risk signals.
Graduate Marketing Analytics Program · UT Dallas
Built a predictive model to forecast Airbnb listing prices in Berlin using machine learning. Analyzed 20,000+ listings across features including location, amenities, host metrics, and seasonal patterns to identify key price drivers.
Hosts should optimize amenity offerings, maintain Superhost status for premium pricing power, and leverage dynamic pricing tied to seasonal demand curves.
Predictive Analytics Course · UT Dallas · 2024
Applied game theory frameworks to analyze Chase Bank's competitive positioning against major rivals (Bank of America, Wells Fargo, Citi). Modeled strategic interactions using Nash Equilibrium, prisoner's dilemma, and signaling theory.
Chase should continue ecosystem deepening (Ultimate Rewards) as a dominant strategy. Fee transparency is a non-credible commitment threat — differentiation via service quality is the optimal long-run equilibrium.
Strategy and Game Theory · UT Dallas · 2024
Five tailored versions of my resume, each optimized for a specific role. Click any card to download directly as a PDF.