Discover a curated collection of dynamic Power BI dashboards covering financial analytics, HR metrics, streaming service trends, real estate dynamics, and more. Meticulously designed for comprehensive data exploration, this repository continues to expand with new and impactful visualizations.

Explore a collection of end-to-end data analytics projects showcasing SQL, Python, and Power BI. Gain valuable insights and solutions to real-world problems through data extraction, analysis, and visualization. Ideal for beginners and professionals looking to enhance their skills in data analytics.

Welcome to my personal Power BI portfolio repository! Here you will find a collection of Power BI projects and dashboards that demonstrate my skills and expertise in data visualization, business intelligence, and analytics using Power BI.

This repository contains a collection of data analysis and visualization projects that I have worked on using tools like Excel, SQL, Python, and Power BI.

A collection of my Data Analysis projects, using Excel, SQL, Power BI , and Pandas

This repository serves as a collection of Power BI projects and dashboards, each focusing on different aspects such as sleep analysis, medicine analysis, and more. Power BI is a powerful business intelligence tool that helps visualize and analyze data effectively. Explore various projects to gain insights and visualizations on diverse datasets.

This project implements a real-time data pipeline using Apache Kafka, Python's psutil library for metric collection, and SQL Server for data storage. The pipeline collects metrics data from the local computer, processes it through Kafka brokers, and loads it into a SQL Server database. Additionally, a real-time dashboard is created using Power BI.

This repository 📂 features a collection of advanced Power BI projects, diving into data analysis across diverse domains like finance 🏦, healthcare 🏥, retail 🛒, and more. Each project includes interactive dashboards 📊, key insights 🔍, and analytical approaches to deliver valuable business intelligence solutions 💡.

:open_file_folder: Databases is a collection of information that is organized so that it can easily be accessed, managed, and updated. In one view, databases can be classified according to types of content: bibliographic, full-text, numeric, and images. DEFINITION database Posted by: Margaret Rouse WhatIs.com Contributor(s): Allan Leake Sponsored News Using Automation to Solve Data Management Challenges –Veritas Avoid the Pain of Cloud Silos With Unified Management and Visibility –Splunk See More Vendor Resources Guide to Consolidating SQL Server 2000 and SQL Server 2005 Databases to SQL ... –Dell and Microsoft SQL Zero-Time Upgrades to Oracle Database 11g Using Oracle GoldenGate –Oracle Corporation A database is a collection of information that is organized so that it can easily be accessed, managed, and updated. In one view, databases can be classified according to types of content: bibliographic, full-text, numeric, and images. Download this free guide Download Our Exclusive Big Data Analytics Guide An unbiased look at real-life analytics success stories, including a Time Warner Cable case study, and tips on how to evaluate big data tools. This guide will benefit BI and analytics pros, data scientists, business execs and project managers. Start Download In computing, databases are sometimes classified according to their organizational approach. The most prevalent approach is the relational database, a tabular database in which data is defined so that it can be reorganized and accessed in a number of different ways. A distributed database is one that can be dispersed or replicated among different points in a network. An object-oriented programming database is one that is congruent with the data defined in object classes and subclasses. Computer databases typically contain aggregations of data records or files, such as sales transactions, product catalogs and inventories, and customer profiles. Typically, a database manager provides users the capabilities of controlling read/write access, specifying report generation, and analyzing usage. Databases and database managers are prevalent in large mainframe systems, but are also present in smaller distributed workstation and mid-range systems such as the AS/400 and on personal computers. SQL (Structured Query Language) is a standard language for making interactive queries from and updating a database such as IBM's DB2, Microsoft's SQL Server, and database products from Oracle, Sybase, and Computer Associates.

Sparse Matrix Factorization (SMF) is a key component in many machine learning problems and there exist a verity a applications in real-world problems such as recommendation systems, estimating missing values, gene expression modeling, intelligent tutoring systems (ITSs), etc. There are different approaches to tackle with SMF rooted in linear algebra and probability theory. In this project, given an incomplete binary matrix of students’ performances over a set of questions, estimating the probability of success or fail over unanswered questions is of interest. This problem is formulated using Maximum Likelihood Estimation (MLE) which leads to a biconvex optimization problem (this formulation is based on SPARFA [4]). The resulting optimization problem is a hard problem to deal with due to the existence of many local minima. On the other hand, when the size of the matrix of students’ performances increase, the existing algorithms are not successful; therefore, an efficient algorithm is required to solve this problem for large matrices. In this project, a parallel algorithm (i.e., a parallel version of SPARFA) is developed to solve the biconvex optimization problem and tested via a number of generated matrices. Keywords: parallel non-convex optimization, matrix factorization, sparse factor analysis 1 Introduction Educational systems have witnessed a substantial transition from traditional educational methods mainly using text books, lectures, etc. to newly developed systems which are artificial intelligent- based systems and personally tailored to the learners [4]. Personalized Learning Systems (PLSs) and Intelligent Tutoring Systems (ITSs) are two more well-known instances of such recently developed educational systems. PLSs take into account learners’ individual characteristics then customize the learning experience to the learners’ current situation and needs [2]. As computerized learning environments, ITSs model and track student learning states [1, 6, 7]. Latent Factor Model and Bayesian Knowledge Tracing are main classes in ITSs [3]. These new approaches encompass computational models from different disciplines including cognitive and learning sciences, education, 1 computational linguistics, artificial intelligence, operations research, and other fields. More details can be found in [1, 4–6]. Recently, [4] developed a new machine learning-based model for learning analytics, which approximate a students knowledge of the concepts underlying a domain, and content analytics, which estimate the relationships among a collection of questions and those concepts. This model calculates the probability that a learner provides the correct response to a question in terms of three factors: their understanding of a set of underlying concepts, the concepts involved in each question, and each questions intrinsic difficulty [4]. They proposed a bi-convex maximum-likelihood-based solution to the resulting SPARse Factor Analysis (SPARFA) problem. However, the scalability of SPARFA when the number of questions and students significantly increase has not been studied yet.

This project automates the collection, storage, and visualization of Premier League statistics from 2003 to the present. Using Python (Selenium, Pandas) for web scraping and processing, the data is stored in SQL Server and visualized in Power BI.

A collection of Excel-based project management templates connected to Power BI, designed to help visualize project data more effectively.

The Power BI Reports repository is a collection of data analysis projects developed using Power BI. Each project focuses on a specific domain and provides visualizations, insights, and analytics based on the respective datasets

A collection of my data analytics and BI projects.

Power-BI-Dashboards is a collection of interactive Power BI projects showcasing advanced data analysis and visualization. Each project includes .pbix files, scripts, sample data, and documentation to explore diverse use cases. Ideal for learning, sharing insights, and mastering Power BI techniques.

Explore a dynamic collection of Power BI projects showcasing insightful data visualizations and analytics. From interactive dashboards to data-driven reports, this repository demonstrates the power of Power BI in transforming raw data into actionable insights.

This repository is a curated collection of dynamic Power BI dashboards covering financial analytics, HR metrics and more. Meticulously designed for comprehensive data exploration, this repository continues to expand with new and impactful visualizations.

A collection of professional Power BI dashboards showcasing data analysis, modeling, and visualization across multiple projects and domains.

A curated collection of Power BI projects showcasing data cleaning, DAX formulas, interactive dashboards, and real-world business insights. Ideal for data analyst portfolios and hands-on BI practice.

A BI-oriented pharmaceutical ERP application. The project workflow included the overall data exploitation process from data collection, ETL process, datawarehouse creation to the development and deployment of the end to end solution.

A collection of weekly data analysis projects and technical exercises completed during my Data Technician Bootcamp, covering tools like Excel, SQL, Python, Power BI, Tableau, and Azure.

This collection of Power BI projects is designed to transform raw data into meaningful insights 🔍 using interactive dashboards 📈. Each project leverages data visualization, DAX calculations, and ETL processes to support data-driven decision-making.

This project demonstrates a complete analytics workflow from data collection to dashboard insights. I scraped rental flat data using Python, performed cleaning and EDA, and created a Power BI dashboard for rental market trends. It includes city-wise comparison (Pune vs Nashik) and BHK-wise availability analysis.

A collection of my data analytics projects using Excel, SQL, Power BI, and Tableau.

Collection of data cleaning, analysis, and cisualization projects using SQL, Power BI, and Python

The repository hosts a collection of diverse case studies and Power BI projects spanning various domains.

This repository is a comprehensive collection of my learning materials, projects, and practice exercises for Power BI.

Collection of some of my Power BI reports I made for data challenges or as personal projects

A collection of Power BI projects showcasing data visualizations, interactive dashboards, and data analysis solutions. Exploring insights from various datasets to enhance business intelligence skills.

🚀 Power BI Projects – A collection of interactive dashboards and reports built using Power BI. Showcasing data-driven insights across various domains like finance, e-commerce, and market trends. Each project includes datasets, .pbix files, and visualizations to support business decision-making. 📊