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The objective of the project was to create innovative and interactive Tableau dashboards that focus on potential commodities, countries, year, trade amount and quantity. The client wanted to launch a new business unit, focusing on global trade and logistics, majorly in the countries such as USA, Canada and Australia The dataset provided by the c…
A PostgreSQL project using a dataset that pulls job postings from Google's search results for Data Analyst positions in the United States. Dataset created by Luke Barousse.
Data: Boston Housing Dataset (HousingData.csv) Programming language(s): R Tool(s): RStudio Business problem: To understand the drivers behind the value of houses in Boston and provide data-driven recommendation to the client on how they can increase the value of housing.The Boston housing dataset consisted of 506 observations and 14 variables. P…
This is the final project I developed for the Coursera's IBM Data Science Professional Certificate, from Data Collection to the Presentation of valuable Insights.
The Data Pulse pipeline processes and transforms web-scraped pageviews using Apache Beam and Google Cloud Dataflow. It reads JSON lines, parses them into PageView objects, filters for "product" post types, enriches with country info, and writes to Google BigQuery. Robust logging and error handling ensure data integrity
This lecture is part of the "Machine Learning in R" graduate course held at University of Münster, School of Business and Economics (winter term 2021/22). 🎓
Implemented an image search feature on the website to improve the experience of 35% of customers dissatisfied with keyword searches. This enhancement incorporated the CNN model with 95% accuracy for image classification and the Siamese model for the top 5 similar products, leveraging the data set of 24,000+ images across 10 different classes.
A portfolio of useful Tableau visualizations and dashboard are located in this repository. The README.md file within this repo contains a summary of each of the different workbooks.
Portfolio of projects taken on by working for Hack for LA. As a member of the Data Science Community of Practice Team at Hack for LA, data science and analysis projects are taken on through a lens of community improvement and service. Code and datasets will be organized based on their respective project.