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NnekaAsuzu/README.md

๐“ฆ๐“ฎ๐“ต๐“ฌ๐“ธ๐“ถ๐“ฎ ๐“ฝ๐“ธ ๐“ถ๐”‚ ๐““๐“ช๐“ฝ๐“ช ๐“ข๐“ฌ๐“ฒ๐“ฎ๐“ท๐“ฌ๐“ฎ ๐“ช๐“ท๐“ญ ๐“๐“ท๐“ช๐“ต๐”‚๐“ฝ๐“ฒ๐“ฌ๐“ผ ๐“—๐“พ๐“ซ!


About Me

I am a Data Scientist specializing in turning complex data challenges into actionable insights. My focus is on Machine Learning, Predictive Modeling, and Analytics across multiple industries, from finance to healthcare and operations.

Education & Expertise:

Master of Science (M.S.) in Management and Systems, New York University (NYU): Specialization in Database Technologies, Data Analytics, and Applied Data Science.

I am currently focused on Time Series Forecasting, Predictive Modeling, and Advanced Analytics. I continue learning to deepen my skills in ML Pipelines and Deployment Workflows. I thrive in collaborative environments, translating data into business impact.

My Technical Toolkit

Category Tools & Technologies
Languages Python (Pandas, NumPy, Scikit-learn), SQL
Machine Learning Regression, Classification, Clustering, Time Series (ARIMA/Prophet), XGBoost, Random Forest
Data Visualization Matplotlib, Seaborn, Plotly Dash, Power BI, Tableau
Analytics & Experimentation A/B Testing, Statistical Analysis, Feature Engineering
Cloud/Version Control Git/GitHub, Azure ML Pipelines, Jupyter Notebooks

Featured Projects

These projects highlight my ability to solve real-world problems using data science and analytics. See more details on my Portfolio Website!

Project Name Key Focus Areas Repository Link
Credit Risk Prediction Model Classification, Feature Engineering, ML Pipeline, ROC-AUC Optimization Go to Repo
Financial Customer Retention Analytics Churn Modeling, CLV, SQL Feature Store, Power BI Integration Go to Repo
Financial Forecasting & Scenario Analysis Time Series Forecasting, Monte Carlo Simulation, Plotly Dash App Go to Repo
Healthcare Resource Forecasting Volume Prediction, ARIMA, Simulation, Dashboard Automation Go to Repo
Marketing A/B Testing Simulator Statistical Testing, Experiment Simulation, Automated Reporting Go to Repo
Epidemiology: Toronto Outbreaks Forecasting, Data Visualization, Trend Detection Go to Repo
"The goal is to turn data into information, and information into insight."

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  1. nnekaasuzu.github.io nnekaasuzu.github.io Public

    CSS

  2. Credit_Risk_Prediction Credit_Risk_Prediction Public

    Predict loan default probability using machine learning (XGBoost, Random Forest) to support credit and risk management decisions.

    Jupyter Notebook

  3. Financial_Customer_Retention_Analytics Financial_Customer_Retention_Analytics Public

    Predict high-risk customers likely to churn and estimate lifetime value (CLV) to enable targeted retention strategies.

  4. Healthcare_Resource_Forecasting Healthcare_Resource_Forecasting Public

    Forecast patient inflow and resource usage in hospitals and long-term care homes using ARIMA and Monte Carlo simulations to optimize staffing and operations.

  5. Marketing_AB_Testing_Simulator Marketing_AB_Testing_Simulator Public

    Simulate A/B testing of marketing campaigns to evaluate engagement, conversion, and revenue impacts with interactive dashboards for scenario analysis.

  6. Financial_Forecasting_Scenario Financial_Forecasting_Scenario Public

    Forecast key financial KPIs and evaluate alternative investment or policy scenarios using hybrid Prophet & ARIMA models with Monte Carlo simulations.