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MohammadRehaanAli/README.md

Mohammad Rehaan Ali

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👋 About Me

I’m a motivated final-year B.Tech CSE (Data Science) student with expertise in data analytics and a passion for extracting insights from complex datasets. I am Proficient in Python, SQL, Power BI, and Excel, I have led impactful projects such as Energy Consumption Trend Analysis, where I created Power BI dashboards to visualize energy costs and consumption trends. In Uber Trip Analysis, I built ML models (XGBoost, Random Forest) to predict demand, achieving MAPE: 8.60%. Additionally, I used SQL and Tableau to analyze sales data and build interactive dashboards. Eager to apply my analytical skills to support data-driven strategies in a collaborative environment.

🌟 Skills

  • Programming: Python, MySQL , HTML , CSS
  • Tools: Microsoft Excel, Tableau, Google Sheets , Microsoft Power Bi
  • Core Competencies: Data Analysis, Data Visualization, Machine Learning, Statistical Analysis

📫 Let's Connect

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  1. Uber-Trip-Analysis-Using-Machine-learning Uber-Trip-Analysis-Using-Machine-learning Public

    This project analyzes Uber trip data (2014-2015) to identify demand patterns, peak hours, and key hotspots in NYC. Using machine learning models like XGBoost, Random Forest, and GBRT, we built a pr…

    Jupyter Notebook

  2. Energy-Consumption-trend-analysis-using-Power-BI Energy-Consumption-trend-analysis-using-Power-BI Public

    This project analyzes energy consumption data (2016–2020) to identify trends and anomalies. Cleaned and transformed data for accuracy and created dynamic Power BI dashboards to visualize energy cos…

  3. SQL-Product-sales-analysis SQL-Product-sales-analysis Public

    Analyzed product sales data using SQL and Tableau to uncover trends and insights. Focused on total sales, quantity sold, and customer-specific data to visualize product performance over time. Clean…

  4. The-Real-Estate-Market-Analysis The-Real-Estate-Market-Analysis Public

    Real Estate Market Analysis (Bangalore, Chennai, Hyderabad) This project analyzes real estate trends in Bangalore, Chennai, and Hyderabad, focusing on factors influencing property prices like locat…

    Jupyter Notebook

  5. Netflix-Movies-and-Series-Analysis Netflix-Movies-and-Series-Analysis Public

    Analyzed Netflix movie and series data using Excel. Cleaned data by handling missing values and duplicates. Explored trends in genres, release years, and production houses. Created pivot tables and…

  6. Disease-Prediction-and-Early-Warning-System-in-Cattle-Dairy-farms- Disease-Prediction-and-Early-Warning-System-in-Cattle-Dairy-farms- Public

    A Flask-based web application that predicts cattle diseases based on uploaded CSV data containing temperature and pulse readings. The app uses basic threshold logic to identify potential diseases a…

    HTML