Dimension UI is a desktop application designed to collect, store, visualize, and analyze time series data
A python integration for the Saiku ad hoc analysis tool
FIFA 19 is a football simulation video game developed by EA Vancouver as part of Electronic Arts' FIFA series. Announced on 6 June 2018 for its E3 2018 press conference, it was released on 28 September 2018 for PlayStation 3, PlayStation 4, Xbox 360, Xbox One, Nintendo Switch, and Microsoft Windows.It is the 26th installment in the FIFA series. ...
📔 This repo contains the Annual Financial Report for Sara Boutique, with a regional breakdown for 2019 and 2020, along with monthly financial KPIs. It also includes a Power BI dashboard developed as a freelance project.
Capstone Project: Analyzing the Instacart dataset (Microsoft SQL) with a 10-minute live video presentation on YouTube
This project showcases the use of SQL analysis to enhance business operations within the hardware industry. Key areas of focus include identifying market opportunities, tracking product growth across years, analyzing customer discounts, and evaluating sales performance by region and channel.
💸 This repository contains financial assessment tools designed to project future cash flows and estimate a company's valuation over a 5-year period. It includes methods for calculating the present value of future cash flows and the company's projected worth, enabling a comprehensive financial forecast.
Cleaned and analyzed employee attendance data using Excel and Python. Standardized dates, cleaned IDs, and mapped status values. Analyzed attendance to determine WFH percentages, identify peak attendance days, and evaluate employee attendance trends.
Using the real-time data from Jobtarget.com, we are performing analysis on Medical and Nursing industries, focusing on one key metric count of hire. We identified the job and performance of the clients related to the job advertisement and hiring effectiveness.
10 ad-hoc business requests solved using SQL queries for Consumer Goods (FMCG) domain. Includes query optimization, schema documentation, and actionable business insights
SQL for effective data analysis use for ad hoc querying, data cleaning and reporting with advance techniques.
This project analyzes 75,500+ patient encounter records from Massachusetts General Hospital to support data-driven decisions for improving patient care and reducing healthcare costs.
This project focuses on deriving ad hoc business insights using SQL and Power BI. Starting with data import and cleaning in MySQL, the analysis involved writing efficient SQL queries to uncover trends and key metrics. The results were validated, visualized in Power BI, and presented with actionable recommendations.
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