Hi there! Welcome to my GitHub page. My name is Huy. I am a recent graduate actively seeking job opportunities in the fields of Business Analytics, Business Intelligence, Data Analytics, or Data Engineering. I hold a Master of Science in Business Analytics from Rotterdam School of Management, Erasmus University, and a Bachelor of Arts in International Business (with Cum Laude) from Utrecht University of Applied Sciences.
I am passionate about helping businesses uncover meaningful insights from their data so that they can make strategic decisions and gain a competitive edge. I always strive to stay updated with the latest tools and technologies. Currently, I am focusing on learning Microsoft Azure, with the goal of earning the Microsoft Azure Fundamentals certification.
If you would like to learn more about my skills and competencies, feel free to explore my repositories.
- Rotterdam, The Netherlands
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17:04
(UTC -12:00) - in/huy-ngo-profile
Popular repositories Loading
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Travel-Agency
Travel-Agency PublicThis project involves creating an ETL pipeline to gather relevant city information, weather forecasts, and flight schedules for potential travel destinations. The pipeline enables a streamlined, da…
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iPhone16-Sentiment-Analysis
iPhone16-Sentiment-Analysis PublicThis project aims to build an ETL pipeline that extracts YouTube comments and Reddit headlines related to the newly launched iPhone 16. The pipeline cleans and transforms the data, conducts sentime…
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Inside-Airbnb-Milan
Inside-Airbnb-Milan PublicThis project provides Milan's government officials with insights into the distribution of short-term Airbnb rentals across the city's popular neighborhoods. The goal is to inform policy that could …
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eCommerce-Website
eCommerce-Website PublicThis project simulates a streaming data pipeline for a fictional eCommerce website. It generates fake data and publishes it into Apache Kafka topics. Apache Spark then consumes, processes, and anal…
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Enrolment-Prediction
Enrolment-Prediction PublicA machine learning project utilizing LASSO regression and Random Forest to predict student enrollment status based on historical application data
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