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Structured approach in AI and ML. Fundamentals and Advanced topics. RAG, Scoring & Profiling, LangChain & LangGraph, Certified Azure AI Engineer materials.
Built a SaaS analytics project using SQL and Python where I reconstructed customer lifecycle from snapshot data and analyzed key metrics like MRR, churn, cohort retention, ARPU, and LTV. I found that revenue growth was driven by customer acquisition rather than pricing, as ARPU declined over time while MRR increased
An opinionated read-only Stripe MCP server for indie SaaS founders to ask AI about MRR, churn, failed payments, dunning recovery, disputes, at-risk customers, and support context in plain English.
A scalable two-stage news recommender that retrieves relevant candidates and reranks them using hybrid lexical and semantic features to optimize top-K recommendation quality.
Program that use a direct graph and the PageRank algorithm (both simple and weighted). Use of the TF-IDF algorithm to calculate the relevance of the terms of the document collection.
GMD is a lightweight SaaS metrics dashboard that gives founders instant clarity on their business performance. Track MRR, ARR, churn, CAC, LTV, and more through automated data ingestion, Stripe integration, and CSV uploads in an all in one clean, easy-to-use interface.
🎬 This repository focuses on building a personalized movie recommender system for ZEE5 using collaborative filtering, content-based methods, and matrix factorization, Pearson correlation, Suprise SVD techniques to deliver accurate, user-relevant recommendations & evaluated through NDCG, MRR, MAPE
Plataforma de análise de assinaturas SaaS com PostgreSQL, MongoDB, Kafka e Terraform para monitoramento de MRR, ARR, Churn e retenção de clientes aplicando SQL avançado e infraestrutura como código.