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

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.

Microsoft Cloud Workshop Asia for Intelligent Cloud / Intelligent Edge

Library that combines control engineering, dynamic simulation and machine learning on time-series. Developed to describe industrial processes and -automation. Lightweight, robust and fast for use in advanced analytics. Built on .NET to run anywhere.

Causal inference library for timeseries analysis

Light-weight, Python-based data-analysis framework

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

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

✨ 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.

This repository presents a comprehensive SQL project, beginning with Data Warehousing, followed by Exploratory Data Analysis (EDA), and culminating in Advanced Analytics. Throughout the project, SQL Server Management Studio (SSMS) was used to design, query, and manage the entire workflow.

A starter guide to Machine Learning

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

Advanced House Sales Prediction Dashboard that gives analysis of best houses depending on various factors.

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.

This Power BI project provides a comprehensive analysis of sales and profit data, aiming to offer actionable insights for business decision-making. The dashboard includes key performance indicators (KPIs) such as total sales, total profit, total quantity sold, and average delivery days. It also presents the sum of sales by category and sub-category

CF based Music Recommendation using Spark/MLLib