advanced-analytics

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

Causal inference library for timeseries analysis

This repo contains a dataset, exercises, and sample code for an end-to-end SAP BTP data-to-value bootcamp covering SAP HANA Cloud, SAP Data Warehouse Cloud, SAP Data Intelligence Cloud, and SAP Analytics Cloud.

Library for dynamic time-series modeling, identification and simulation. Focus on dealing with non-ideal real world datasets, and applications to industrial processes and -pid-feedback loops. Robust and fast for advanced analytics. Built on .NET to run anywhere.

Microsoft Cloud Workshop Asia for Intelligent Cloud / Intelligent Edge

Repo to showcase solution examples and learning content curated by the advanced analytics experts within Microsoft Finance

Light-weight, Python-based data-analysis framework

The Open Source Advanced Analytics and Business Intelligence Suite - Vue Js Frontend

Visual Analytics with Tableau (Wiley) - all Tableau Workbooks (.twbx) and Prep Flows (.tfl) from the book, ready to open and adapt to your own data.

📚 An End-to-End Advanced SQL Project covering Data Warehousing, ETL Pipeline (Bronze → Silver → Gold), Star Schema Modeling, EDA, and Advanced SQL Analytics. Built using PostgreSQL, this project simulates a real-world Data Engineering + Data Analytics workflow using raw ERP & CRM data to generate production-ready customer and product insights.

✨ An authorial set of fundamental python recipes on Data Science and Analytics.

Anomaly Detection with Spark Machine Learning

A repository for information related to the Data Analytics team's Advanced Analytics for the OCDO need.

The Martian Habitat Pathfinder project aims to identify and evaluate potential habitat locations on Mars by analyzing topographical data, environmental conditions, and resource availability.

datashadric provides a collection of well-organized modules for common data science tasks, from data cleaning and exploration to machine learning model building, unsupervised and supervised classification and statistical analysis and testing.

Lavagante Quantitative Research Framework - BETA | Experimental exploration of quantum-inspired algorithms for financial modeling. Seeking academic collaboration and community feedback for research validation. Educational resource in development.

Botanical Revenue Intelligence Report analyzes 2023 gross profit performance across products, regions, and time periods, comparing YTD vs PYTD metrics to identify trends and opportunities. The dashboard provides actionable insights through visual comparisons and KPIs (like 39.62% GP%) to optimize profitability strategies.

A portfolio to showcase work I have done over the years 📊👨‍💻📈

The objective of this project was to develop a revenue forecasting solution for a digital wallet company. The primary goal was to analyze historical transaction data, create a predictive model to forecast future revenue, and present these insights through an interactive dashboard.

A starter guide to Machine Learning