Template for performing GeoAI retail analysis using ArcGIS and Machine Learning.
This repository consists of all my projects completed in university and work experiences.
CekatanBiz is Software Tools Data Analyst,Business Analyst,and Business Intelligence. Developed using Python.
An operational description of ML at Scale
Resources for Learning Data Science, Statistics, Machine Learning, and <insert buzz word here>
ShowCaseMe - Analyse fonctionnelle et cahier des charges d'un projet de réseau social de partage de portfolios (Labo final Technifutur : ICT Business Analyst )
This data project analyses the top-paying data analyst and business analyst roles in the European Union, identifying key and highly demanded skills.
These are the most commonly asked interview questions for DA, BA and DS profiles.
Interactive web tool to support multi-project GenAI investment decisions by visualizing financial and strategic data using HTML, JavaScript, and Chart.js with real-time updates.
Aéro-club - Analyse fonctionnelle et cahier des charges d'un projet de SI pour un aéro-club (Labo Technifutur : ICT Business Analyst)
The Power BI PwC Virtual Case Experience is an exciting and educational program designed to provide participants with hands-on exposure to Power BI, a prominent business intelligence and data visualization tool, within the context of consulting at PwC.
This guided Power BI project explores sales data for Crunchy Corner. The project demonstrates how to leverage data analysis and visualization to gain valuable business insights.
Guide for Business Analysts to understand SDLC, Git, deployments & work better with dev teams.
ARIMA example for sales forecasting in Python.
The purpose of this report is to provide the Bank of Canada with data on collateral pledging which is necessary for evaluating linkages between counterparties and activities, as well as determining the magnitude of transactions across various asset classes
An IEEE-compliant Software Requirements Specification (SRS) for AUMC GuideVR. Covers functional scope, use cases, system features, and stakeholder needs — built under Software Requirement Engineering (SRE).
RFM-based customer segmentation using PCA and K-means clustering by recency, frequency, and monetary value.
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