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US Superstore Analysis

Dynamic Dashboard.

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Premier League 2020/2021 Player Stats

Dynamic Dashboard

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Connecting to AWS S3 using Athena and performing data analysis

Connecing AWS S3, and Athena together, query data using SQL and perform exploratory data analysis using python packages pandas and matplotlib all from our jupyter lab.

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SQL Examples

SQL practice problems that include both Joins and Subqueries. I had two datasets that I was given questions to answer and used SQL to solve.

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Streaming Twitter Sentiment Analysis with AWS & PySpark

The goal of this project was to familiarize myself with AWS tools and processes (especially EC2, S3, Athena and Firehose) + large, unwieldy, dirty datasets and distributed computing software like Databricks by creating a streaming dashboard/pipeline. When operational, it can provide a live...

Jeffrey Ekeanyanwu

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Ride Hailing Apps(Uber & Lyft Price Prediction

Predicted the fare of a cab ride for certain distances based on external factors such as distance, surge prices, weather conditions.

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Django/React Dashboard for educational analytics in the region

This is a data visualization system that shows the analysis prior to a national public database for the purpose of exploring and characterizing the schools in the region. The objective behind the construction of the system was the realization of a university thesis project having relations...

Vicente Figueroa

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Google Data Analytics Professional Certificate

This program includes over 180 hours of instruction and hundreds of practice-based assessments, which help students simulate real-world data analytics scenarios that are critical for success in the workplace. Through a mix of videos, assessments, and hands-on labs, students got introduced to...

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Analyze International Debt Statistics

What is the total amount of debt that is owed by the countries listed in the dataset? Which country owns the maximum amount of debt and what does that amount look like? What is the average amount of debt owed by countries across different debt indicators? The data used in this project...

Ioannis Volonakis

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Dashboard Covid

Design of a dashboard to monitor the evolution of the covid 19 infection.

Colin Karczewski

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Development of a GUI software for Sales and Inventory database management

Object-relational management (ORM) was used in the development of a graphical user interface (GUI) software for sales and inventory database control.

Chidiebere Afamefuna

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Automated testing for BawabtAlsharq website

Automate testing for the main website features such as Register, Login, Search, and RFQ for both buyers & suppliers in a B2B e-commerce website called BawabtAlsharq. Libraries Automation Using `Selenium` Connecting the database remotely using `mysql` Finally, run cron jobs on my...

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Forecasting COVID-19 using Deep Learning

• Forecasted COVID–19 daily case counts for Toronto and main cities in Canada using weather and mobility data. • Developed time series models using Deep Learning techniques like Long-Short Term Memory networks and Dilated Convolutional Neural Networks with a prediction accuracy of 92%.

Krishna Hemanth D.R.V (Rinda)

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SpaceX's Falcon 9 Landing Outcome Prediction

Used machine learning to predict the landing outcome of SpaceX's Falcon 9 rocket. The rocket's landing can be affected by a lot of factors, both internal and external. The project was about to discover those factors and predict if the landing was going to be successful or not.

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Analyzing eCommerce Business Performance

This is a project challenge provided by expert tutors from Rakamin Academy to increase their student portfolio. In this project, as a member of the Data Analytics team an eCommerce company in South America has the responsibility to analyze three aspects related to the company's business...

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Open Source Blockchain Project

Passionate about the world of cryptocurrency and wallets, I embarked on a project to create an open-source blockchain solution with a wallet. I am convinced that the blockchain universe is a growing universe with multiple possibilities and opportunities.

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Twitch Viewer Data Analysis

This small project report, provided by Codecademy in partnership with the Twitch Science Team, looks at Twitch stream and chat data. I use SQL to query insights, which I then display using the Matplotlib library.

Stephen Ellingson

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ESPN API and Database

This project creates a custom database to hold scores and statistics data across several sports (baseball, basketball, football and hockey). By reverse engineering ESPN's hidden API endpoints I was able to create my own API. In addition, there is an entire ETL pipeline built to transform ESPN's...

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Wine Recommender System and Database

Reverse engineered vivino.com's API endpoints to create an ETL pipeline that created a database of 40,000+ wines and 140,000+ vintages. Using keywords from reviews created a TFIDF matrix to recommend wines of similar taste profiles to users.

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Wordle SQL Algorithm Solver

How do you ruin the fun of Wordle for yourself? For this coding challenge, I developed a SQL algorithm for Wordle that solves all 2,315 words in under 16 seconds with an average of 3.76 guesses per word.

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Forecasting Retail Store Sales With Gradient Boosted Trees

This project uses gradient-boosted trees to predict Rossmann stores’ daily sales six weeks ahead. It uses AWS-hosted data containing daily sales of 1115 stores between 2013 and 2015. Visual EDA is performed in Tableau.

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