trends-analysis

Python CLI for Google Trends analysis with advanced rate limiting, cookie auth, and beautiful terminal output. Built on pytrends with enterprise features.

Experience a comprehensive exploration of Spotify's musical landscape seamlessly transitioned from Tableau visualizations to SQL analysis. Dive into track inventory, streaming metrics, and sonic trends via interactive dashboards, while leveraging SQL queries for deeper insights into KPIs and cross-platform rankings.

A comprehensive project using Python, APIs, web scraping, and data visualization to identify emerging skills in demand. Includes data collection, wrangling, analysis, visualizations, a Google Looker Studio dashboard, and a final presentation.

Google News + Google Trends MCP server for keyword, market, SEO, and content research. Free OSS.

supply chain ooptimization for williams-sonoma, inc.

Stock market prediction using machine learning uses algorithms like regression, SVM, and LSTM to analyze historical and market data to forecast future stock prices or trends. These models detect patterns and relationships in large datasets to assist in investment decisions.

Access computer science history by year, including major breakthroughs, research papers, and technological advancements.

Sales_Insight_Report-Using Power BI

analysis of company data to identify trends in acquisitions and overall performance across different industries.

Lagos state debt analysis using jupyter notebook

Analysis done using Python and MySQL

The AI-Enabled Market Trend & Consumer Sentiment Forecaster is a data-driven analytics solution designed to identify emerging market trends, analyze consumer sentiment, and generate predictive insights for informed decision-making.

It should be an app and site called EVOLVEION the web should be evolveion.com it should have features like ai, feeds, socials media interaction, login information, no ads, private chat like Whatsapp and it should look like ex

🚀 Researchlytic – Explore global research trends, discover influential studies, and analyze publication patterns across disciplines.

The goal of this project is to generate actionable insights for healthcare stakeholders. By analyzing complex trends and patterns, it aims to support decision-makers, healthcare professionals, and policymakers in making informed decisions that improve the efficiency and effectiveness of the U.S. healthcare system.

Implemented time series forecasting to predict future orders for Glovo, utilizing models such as ARIMA/SARIMA, LASSO, XGBoost, and Linear Regression.

Data analysis of e-commerce sales records from 2019-2022, focusing on total sales, order volume, and AOV, segmented across time, geography, and product.

This project analyzes YouTube users across 87 countries, showing the platform’s global popularity. The data helps content creators identify key audiences and consider differences in monetization rates when targeting viewers.

This project analyzes Brazil’s e-commerce data using SQL to evaluate order growth, revenue trends, delivery performance, freight costs, and customer payment behavior.

Analyzing Electric Vehicle (EV) adoption, market trends, and manufacturer performance across the United States