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RebeccaMorolong/README.md

About Me

I’m a Data Scientist and Statistical Analyst with a passion for transforming business challenges into impactful, data-driven solutions. My work spans the full data science lifecycle—from exploratory data analysis and statistical modeling to machine learning, deployment, and performance monitoring.

Tech Stack

Languages & Tools:
Python | SQL | Scikit-learn | XGBoost | mfFlow | FastAPI | PostgreSQL | Power BI | Canva

Libraries & Frameworks:
NumPy | Pandas | Matplotlib | Plotly | SciPy | scikit-learn | XGBoost | MLflow| Tensorflow|Keras|

Version Control & Platforms:
Git | GitHub | (Cloud integrations under development)

Featured Projects

  • MTN Customer Churn Prediction
    Predicts customer attrition for a major telecom company using XGBoost and Logistic Regression. Includes feature importance analysis and deployment-ready pipelines.

  • Customer Lifetime Value (CLV) Analysis
    Conducts RFM segmentation to identify high-value customer segments and revenue growth opportunities.

  • A/B Test Analysis (SQL)
    Evaluates feature changes or marketing impacts using SQL to analyze user behavior and conversion metrics.

  • Stock Prediction (Time Series Modeling)
    Applies regression methods and visualization techniques to financial data for forecasting trends.

  • Customer Acquisition Analysis
    Identifies the most cost-effective and revenue-generating marketing channels using analytical modeling.

  • Demand Forecast Analysis
    Builds demand forecasting models to support inventory and supply chain planning.

Let’s Connect

I’m eager to connect with professionals, collaborate on meaningful data projects, and explore opportunities in AI, ML, and analytics.

🌐 Socials

📈 GitHub Stats

GitHub Stats Streak Stats Top Languages

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  1. TelecomPrediction TelecomPrediction Public

    This repository contains a project that uses machine learning pipeline to analyze telecom customer data and predict the likelihood of churn, using a Logistic Regression model and advanced preproces…

    Jupyter Notebook

  2. -A-B-Test-Analysis-SQL-QUERIES -A-B-Test-Analysis-SQL-QUERIES Public

    This project analyzes user behavior from an A/B test using SQL. It helps evaluate the impact of a new product feature or marketing change on user conversions, engagement, and click-through behavior.

  3. Customer-Acquisition-Analysis Customer-Acquisition-Analysis Public

    Identify which acquisition channels are most cost-efficient and revenue-generating to guide marketing decisions.

    Jupyter Notebook

  4. Demand-forecast-analysis Demand-forecast-analysis Public

    This repository contains a Demand forecast analysis project

    Jupyter Notebook

  5. Bike-Sharing-Forecasting-with-Mlops Bike-Sharing-Forecasting-with-Mlops Public

    This repository contains This project predicts daily bike rental demand using historical data from a bike-sharing system. A Long Short-Term Memory (LSTM) deep learning model was implemented to capt…

    Jupyter Notebook

  6. Telco-Churn-Prediction-Deployment- Telco-Churn-Prediction-Deployment- Public

    Predicting customer churn for a telecommunications company using machine learning. This project walks through the full end-to-end data science workflow: data exploration, preprocessing, model train…

    Jupyter Notebook