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Tech Stack:

C++ Python R AWS Anaconda SQLite MongoDB Adobe Adobe Acrobat Reader Adobe After Effects Adobe Creative Cloud Adobe Illustrator Adobe InDesign Adobe Lightroom Adobe Photoshop Adobe Premiere Pro Blender Canva Figma Rhinoceros Sketch Up Sketch Matplotlib NumPy mlflow Pandas Plotly scikit-learn Scipy TensorFlow

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  1. Marketing-Campaign-Data-Analysis Marketing-Campaign-Data-Analysis Public

    This project evaluates a $5M marketing campaign for Freedom Debt Relief using three datasets. It analyzes deposit growth, client acquisition, and ROI, with scenario simulations for alternative stra…

    Jupyter Notebook

  2. Real-Estate-Rental-Market-Analysis Real-Estate-Rental-Market-Analysis Public

    This project examines guest demand, host acceptance trends, and market gaps using data cleaning, feature engineering, EDA, and statistical modeling. It explores pricing, booking behaviors, and acce…

    Jupyter Notebook

  3. PowerBI-Dashboard-for-Sales-Performance-Analysis PowerBI-Dashboard-for-Sales-Performance-Analysis Public

    A dynamic and interactive dashboard showcasing sales performance insights. Features include key performance indicators, trend analysis, regional breakdowns, and actionable insights to optimize deci…

  4. Predicting-Property-Engagement-Data-Analysis Predicting-Property-Engagement-Data-Analysis Public

    This Real Estate Data Analysis Project evaluates property interaction patterns using logistic regression and random forest classifiers to predict engagement levels. The results indicate poor classi…

    Jupyter Notebook

  5. Predicting-Stock-Price-Direction- Predicting-Stock-Price-Direction- Public

    This project leverages machine learning to predict stock price direction, determining whether the next day's closing price will be higher or lower than the opening price. It employs data preprocess…

    Jupyter Notebook

  6. Purchase-Behaviour-Data-Analysis Purchase-Behaviour-Data-Analysis Public

    This project analyzes Black Friday purchase behavior for Company XYZ, uncovering trends by gender, age, and location. Using data cleaning, statistical analysis, and visualization, it evaluates spen…

    Jupyter Notebook