product-analytics

The enterprise-grade behavioral data engine (web, mobile, server-side, webhooks), running cloud-natively on AWS and GCP

Countly Product Analytics iOS SDK with macOS, watchOS and tvOS support.

Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, AB tests, machine learning, and Monte Carlo Markov Chain simulations, extending Pandas, Networkx and sklearn.

JavaScript SDK for RudderStack - the Customer Data Platform for Developers.

Product Management and Leadership Guide

rtdl makes it easy to build and maintain a real-time data lake

Integration between Django and Amplitude to help send events via the Amplitude HTTP API (v2)

Migrate historical events from Amplitude to Posthog

Build a Machine learning model to direct customers to subscribe product through a app behavior analysis

Rust SDK for RudderStack - Open-source, warehouse-first Customer Data Pipeline and Segment-alternative. It collects and routes clickstream data and builds your customer data lake on your data warehouse.

Analyzing mobile game player activity data...

[Unmaintained] 📬 A simple Google Cloud Function in Go to capture Mailgun webhook events as PostHog custom events.

In an attempt to handle repetitive code, this is the creation of functions to keep our work flexible, maintainable, and interpretable.

This project uses user data to explore how to increase app user engagement

Understanding how well a product that is published on the E-Commerce platform Wish is going to sell using Machine Learning.

Utilizing machine learning techniques to model and project sales for the cannabis startup Cookies

[Advanced Analytics] 2020-2022 Avanade (NYSE: ACN) Silicon Valley | I am leading, strategizing, analyzing, and predicting via advanced analytics and AI at Fortune 100 tech companies in Silicon Valley.

[Product Analytics] S18 Google Mountain View | I analyzed 1B+ Google Photos users in 20 countries who take 2.6B photos per day and provided meaningful product recommendations by data storytelling.