🔫 The data comes from the FBI's National Instant Criminal Background Check System. The NICS is used by to determine whether a prospective buyer is eligible to buy firearms or explosives. 🔫

This repository features a Covid-19 analysis and visualization project using Tableau. The project includes dashboards and storyboards that provide clear, data-driven insights into Covid-19's effects worldwide.

Data-driven analysis of inventory management and supply chain efficiency (2015-2018). Identifies key trends in product classes, sales performance, and shipping. Provides actionable insights to optimize inventory levels, reduce costs, and improve customer satisfaction in a complex supply chain environment.

📊 This Python project analyzes the top 100 highest-rated movies of the decade to uncover trends in ratings, box office collections, and voter demographics. Using libraries like Pandas, Matplotlib, and Seaborn, it provides visual insights into movies, actors, and audience preferences. 🎥📈

This versatile tool is designed for anyone in need of a robust solution for transcribing and diarizing large volumes of audio files. Whether you are dealing with terabytes or even larger quantities, our tool ensures efficient and accurate processing. Ideal for researchers, content creators, and businesses.

Penduduk Indonesia Menua? Proyek Web Storytelling untuk dilombakan dalam Data Storytelling Challenge BPS 2023

Project involves the analysis of grocery sales data from BlinkIT, to derive insights and visualize key metrics using Power BI. The dataset contains fields such as Item Fat Content, Item Identifier, Item Type, Outlet Establishment Year, Outlet Identifier, Outlet Location Type, Outlet Size, Outlet Type, Item Visibility, Item Weight, Sales, Rating.

Built a data warehouse solution to analyze the impact of health expenditure on outcomes globally in the past decade

A project that focuses on analyzing international debt for multiple countries. In this Project the main theme was to uncover insights hidden within this data, and answering pivotal questions in a friendly, storytelling fashion.

Data-driven analysis of sales performance metrics from 2014-2017, identifying key trends in product sales, regional performance, and profitability. Provides actionable insights to optimize inventory, improve profit margins, and enhance customer satisfaction in a competitive market.

This projects gives the student an opportunity to demonstrate their skills in data visualization.

This project involves analyzing synthetic loan data and creating an interactive Power BI dashboard to visualize key metrics like default rates, loan distribution, and repayment trends. Tools used include Python for data preprocessing and Power BI for analysis and visualization.

Developed an ETL pipeline on AWS to conduct extensive analysis on aviation accidents in the United States

Projecto Sabores & Aromas: um dashboard interativo desenvolvido no Power BI, focado em insights de vendas, desempenho por equipe e análise de rentabilidade para optimizar decisões estratégicas.

Conteúdo sobre dados, saúde e tecnologia

Comprehensive e-commerce sales and promotions analysis (2019) using Power BI. Examines user behavior, product performance, and promotional impact across brands, categories, and states to optimize sales strategies and profitability.

Crop Production Analysis (1997-2014) This project analyzes crop production data from 1997 to 2014, utilizing Tableau Desktop for visualization and Excel for data cleaning. The analysis provides insights into agricultural trends, seasonal production variations, state-wise production, and area vs. production efficiency for top crops.

Storytelling Of Quarterly Performance Review Of Market

A curated collection showcasing my journey in data visualization through the "Telling Stories with Data" course at CMU. This portfolio highlights assignments, in-class exercises, and a final project that illustrate my skills in transforming data into impactful narratives.

The project involved designing a MySQL database to store and normalize transaction, customer, and product data. SQL queries were used to extract business insights like sales trends, product performance, and customer behaviors.