Head of AI SEO | Semantic SEO & NLP Specialist | Full-Stack Digital Marketer
Solving marketing problems using Machine Learning, Data Science, AI, and Automation
"I'm an NLP-focused Semantic SEO expert leading 360° digital marketing initiatives across SEO, PPC, and analytics. I specialize in leveraging natural language processing, AI automation, and data science to build scalable SEO frameworks, improve campaign efficiency, and support data-informed decision-making across marketing functions."
- Semantic SEO: Topical authority, clustering, entity optimization, internal linking strategies and so on.
- Python NLP Projects: Built internal tools for my team in areas like NER, cosine similarity, embedding-based comparison, SVO structure checks, etc.
- Competitive Analysis: Scraped competitor content using
BeautifulSoup,advertools, and programmatically created domain-specific repositories. - Analytics: Deep experience in GSC, GA4, BigQuery, and Looker Studio with custom dashboards and insights.
- PPC Automation: Leveraged Google Ads API to optimize bid strategies, segment performance, and scale paid media.
- API Expertise: Google APIs (Search Console, Ads, Analytics), Meta API, Reddit API, GMB, and Quora scraping.
- Programmatic SEO: Automated content pages using templates, datasets, and developer collaboration (Next.js, Gatsby).
- GenAI Tools: Practical knowledge of CrewAI, LangChain, OpenAI API, Replit, and other day-to-day AI integrations.
- Custom Dashboards: Built internal tools using Python, Streamlit, GitHub workflows for the marketing team.
- Exploratory Data Analysis: Univariate, Bivariate and Multivariate Analysis using suitable plots.
- Machine Learning: Linear Regression, Decison trees , Logistic Regression, Clustering etc and its marketing applications.
| NLP / ML | Analytics | Visualization | APIs | Automation / Apps |
|---|---|---|---|---|
| spaCy, NLTK, Transformers | GA4, GSC, BigQuery, SQL | matplotlib, seaborn | Google Ads API, Meta API, Reddit API, GMB API, Quora | Streamlit, GitHub Actions |
| SentenceTransformers, Embeddings | pandas, numpy | OpenAI API, LangChain | Python, Replit, CrewAI | |
| Named Entity Recognition, Cosine Similarity | Looker Studio, Data Studio | Next.js, Gatsby (for programmatic SEO) |
- 🧭 Cosine Similarity Between Sentences: Tool to compute cosine similarity between sentences using embeddings. Try it here
- 🧠 Subject - Verb - Modifier (SVM) Checker for ChatGPT Prompting: Project that checks the given sentence for the ideal SVM format. View on GitHub
- 📈 XML Sitemap Analysis: Repository to analyze XML sitemaps using the popular Python library Advertools. View on GitHub
- 📊 Customer Review Sentiment Analysis: Repository that uses popular Python NLP packages like NLTK to perform customer review sentiment analysis. View on GitHub
🎯 Postgraduate Program in AI/ML & Data Science
📍 University of Texas, McCombs School of Business
Modules: Python | ML | Neural Networks | NLP with Gen AI | Computer Vison | Model Deployment | Stats | MLOps
⭐ Thanks for stopping by. Dive into my repositories to explore how NLP and AI are driving modern marketing.