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uthmanmo/README.md

👋 Hey there!

I'm an aspiring Data Scientist on a mission to turn data into decisions. I specialize in exploring, cleaning, analyzing, and visualizing data using the latest tools and techniques in the field of data science.

🧠 What I Do

🔹 Data Cleaning & Preparation
Using Pandas, NumPy, and OpenPyXL to clean, transform, and prepare datasets for analysis.

🔹 Data Analysis & EDA (Exploratory Data Analysis)
Performing deep data explorations with Python, Jupyter, Pandas, Matplotlib, and Seaborn.

🔹 SQL & Relational Databases
Working with SQLite, PostgreSQL, and MySQL to run complex queries, build dashboards, and extract insights.

🔹 Web Scraping & Data Collection
Extracting data from websites using BeautifulSoup, Requests, and Selenium.

🔹 Data Visualization
Creating professional visualizations using Matplotlib, Seaborn, Plotly, and dashboards with Streamlit.

🔹 Big Data & Cloud Environments
Exploring tools like Apache Spark, Hadoop, and using cloud platforms like Google Colab, Kaggle, AWS, and Azure

🔹 Machine Learning
Understanding ML fundamentals with Scikit-learn and working toward building simple models and predictions.

🔹 Statistical Analysis & Reporting

Pinned Loading

  1. Historical-Stock-Revenue-Data- Historical-Stock-Revenue-Data- Public

    Analyzing Historical Stock/Revenue Data and Building a Dashboard

    Jupyter Notebook

  2. McDonalds-Nutrition-Data-Analysis McDonalds-Nutrition-Data-Analysis Public

    Exploratory data analysis using Python, SQLite, Pandas, and Seaborn on McDonald’s nutritional dataset to uncover insights like highest sodium items, fat-protein correlations, and sugar distribution.

    Jupyter Notebook

  3. SQL-Magic-Data-Analysis SQL-Magic-Data-Analysis Public

    A Jupyter Notebook project demonstrating how to use SQL Magic in Python to create, query, and visualize data from an SQLite database using SQL directly in notebook cells.

    Jupyter Notebook

  4. Chicago-Public-Schools-Performance-Analysis-2011-2012- Chicago-Public-Schools-Performance-Analysis-2011-2012- Public

    This project analyzes school-level performance data from Chicago Public Schools for the 2011–2012 academic year using Python, SQLite, and SQL. It includes storing CSV data into a database, querying…

    Jupyter Notebook

  5. Chi-Town-Data-EduCrimeCensus-Project Chi-Town-Data-EduCrimeCensus-Project Public

    A comprehensive analysis using real-world data from the city of Chicago, including public schools, crime records, and census data from the year 2011-2012. SQL and Python were used to extract meanin…

    Jupyter Notebook

  6. used-car-data-wrangling-analysis used-car-data-wrangling-analysis Public

    This project demonstrates core data wrangling techniques on a used car dataset using Python and Pandas. It covers tasks such as data cleaning, formatting, normalization, binning, and basic visualiz…

    Jupyter Notebook