Skip to content
View RebeccaMorolong's full-sized avatar
1 follower · 8 following

Block or report RebeccaMorolong

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 250 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
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

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

Pinned Loading

  1. MTN-Customer-Churn-Prdiction MTN-Customer-Churn-Prdiction Public

    This project addresses a real-world business problem: predicting customer churn for MTN, a major telecommunications company. Customer churn significantly impacts profitability, and accurate predict…

    Jupyter Notebook

  2. stockpredictionanalysis.ipynb stockpredictionanalysis.ipynb Public

    The project demonstrates practical applications of time series analysis, regression techniques, and visualization methods, making it a valuable resource for anyone interested in financial data anal…

  3. 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

  4. -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.

  5. Customer-Acquisition-Analysis Customer-Acquisition-Analysis Public

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

    Jupyter Notebook

  6. Demand-forecast-analysis Demand-forecast-analysis Public

    This repository contains a Demand forecast analysis project

    Jupyter Notebook