Data-driven Digital Marketing Manager with 4+ years of experience scaling B2B and B2C businesses through high-performance marketing. Former startup founder who directed £25K+ (~₹26 Lakhs) in monthly ad budgets, consistently delivering a 3.5x-4x ROAS and reducing CAC by 20%. Specialized in architecting multi-agent AI ecosystems to automate entire marketing stacks and accelerate growth.
Multi-Agent AI Marketing Ecosystem.
Google, Simplilearn, Coursera
I don't just run campaigns; I engineer growth engines. With a strong foundation in AI and Analytics, I bridge the gap between creative marketing and hard data science.
"GA4 & GTM", "Google/Meta Ads", "HubSpot",
"SQL & Python", "Looker Studio", "Power BI",
"Tech SEO", "Multi-Agent AI", "React & Streamlit",
"Prompt Eng", "LLM APIs", "A/B Testing"
Vozalt Digital Agency | Bicester, UK
Managed full-funnel digital acquisition for 10+ global B2B/B2C clients, overseeing £25K+ (~₹26 Lakhs) in monthly ad spend. Delivered consistent 3.5x-4x ROAS, reduced CAC by 20%, and increased high-intent organic traffic by 25%+. Architected HubSpot CRM lead-nurturing workflows achieving 28% email open rates.
Vibestudies Abroad Education | Hyderabad, India
Co-founded an international education consultancy, leading digital marketing and WhatsApp funnels. Guided 150+ students to universities globally, maintaining a 92%+ visa approval rate and partnering with 700+ institutions.
Samastham InfoTech Services | Hyderabad, India
Founded and scaled a full-service digital marketing and IT agency from zero, growing the active client base to 35+ businesses across diverse B2B and B2C industries. Built and managed a cross-functional team of 12, driving 35% year-on-year revenue growth.
An autonomous framework of specialized AI agents designed to orchestrate the entire digital marketing stack.
Building an AI-powered data compliance and privacy platform to analyze and simplify complex legal documents.
Rapid prototyping of interactive travel websites using LLM-driven development and live APIs.
Master's Dissertation: Quantitative regression analysis using R on WERS 2004 dataset.
// MULTI-AGENT AI MARKETING ECOSYSTEM (IN PROGRESS)
Marketing workflows (SEO, PPC, CRM, competitive intelligence) are highly fragmented and manual, requiring constant human oversight and multiple disconnected tools.
Developing an autonomous framework of 11 specialized AI agents designed to orchestrate the entire digital marketing stack—including SEO, PPC, Social Media, Content Strategy, and CRM. The system features a "Nexus AI" orchestrator that routes complex tasks across multiple LLM providers based on logic and efficiency.
Architecting scalable workflow structures aimed at eliminating manual data entry, optimizing campaign execution speed, and enhancing data-driven decision-making for modern marketing teams.
AI AGENTS
// AI & DATA EXTRACTION ARCHITECTURE
Legal documents and privacy policies are notoriously complex, leading to cognitive fatigue and blind acceptance of terms.
Developing an AI-powered platform that extracts and processes legal text directly from URLs and PDFs. Engineered an automated pipeline to handle clause analysis, detect risk vectors, and generate plain-language summaries based on GDPR and CCPA frameworks.
Provides interactive visual insights and trust scores, greatly improving user transparency regarding data usage.
MULTI-MODAL AI
// RAPID PROTOTYPING & GEN AI
Travelers need curated, visual guides for destinations like Scotland, South Wales, and Montenegro, but custom web app development is typically slow.
Leveraged Lovable AI and LLM-driven development to rapidly prototype and build fully functional travel itinerary websites. Integrated live weather APIs and interactive mapping systems for dynamic user experiences.
Successfully deployed three separate, production-ready React/TypeScript platforms in record time.
DEPLOYED
// MASTER'S DISSERTATION & STATISTICAL MODELING
A gap existed in understanding how managerial culture directly influences employee job satisfaction and anxiety, moderated by demographic factors.
Adopted a deductive research approach using the WERS 2004 dataset (22,451 observations). Constructed variables for Job Satisfaction, Anxiety, and Managerial Culture (Cronbach's Alpha > 0.8). Conducted Chi-square tests and Linear Regression in R.
Confirmed a strong positive correlation (0.52 coefficient) between managerial culture and satisfaction. The model explained 41.89% of variability (R-squared), proving management style is a critical predictor.
MODEL FIT
Feel free to reach out for collaborations or opportunities.
PPC, Meta Ads, and Display campaigns focused on ROI.
GA4 Setup, GTM Tracking, and Looker Studio Dashboards.
Technical audits, keyword research, and on-page optimization.