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Uzo-Hill/README.md DATA ANALYTICS PORTFOLIO PAGE 
Data Analytics Portfolio

I am a Data Scientist / Data Analyst with experience in using different kinds of analytical tools and techniques to transform raw data into informative, business insights that drive decision-making and thoughtful management. 
I am proficient in SQL, Python, Excel, Power BI and have good understanding of data analytics techniques such as dashboard building, story-telling, report writing, data mining, critical thinking.

In this portfolio are some of my data analytics projects that showcases my skills as a Data Scientist / Data Analyst.

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  1. Supply-Chain-Analysis-Using-Power-BI Supply-Chain-Analysis-Using-Power-BI Public

    This is data analysis project focusing on the supply chains of a fashion and beauty startup using Power BI.

    2

  2. Adidas-US-Sales-2020-2021-Data-Analysis-Using-SQL Adidas-US-Sales-2020-2021-Data-Analysis-Using-SQL Public

  3. Sentiment-Analysis-of-Women-s-E-Commerce-Clothing-Reviews-Using-NLP Sentiment-Analysis-of-Women-s-E-Commerce-Clothing-Reviews-Using-NLP Public

    This project analyzes customer sentiment in women's e-commerce clothing reviews using Natural Language Processing (NLP).

    Jupyter Notebook 1

  4. Real-Estate-Price-Prediction-and-Deployment-Using-Streamlit Real-Estate-Price-Prediction-and-Deployment-Using-Streamlit Public

    Real Estate Price Prediction Model - End-to-end ML project featuring data analysis, feature engineering, model training (Linear Regression), and Streamlit deployment. Predicts property prices using…

    HTML

  5. Automated-Abdominal-Organ-Classification-with-CNNs Automated-Abdominal-Organ-Classification-with-CNNs Public

    A deep learning pipeline for classifying 11 abdominal organs from CT scan slices using PyTorch and Streamlit deployment.

    Python 1

  6. EPL-Match-Analytics-2010-2020-Data-Driven-Insights-with-R EPL-Match-Analytics-2010-2020-Data-Driven-Insights-with-R Public

    A data science project in R analyzing 10 seasons of English Premier League match data to explore team performance trends, discipline patterns, and referee tendencies through modern football analytics.

    R 1