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Nombulelo Msibi

@nombulelomsibi

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I build predictive machine learning and customer analytics solutions from data preparation through actionable insights.

South Africa

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What I'm looking for

I'm looking to contribute analytical skills and data-driven insights to innovative projects as a Data Scientist or Data Analyst.

I've built end-to-end predictive models for customer analytics, including a churn prediction solution at Cell C that covered data preparation, feature engineering, model development, evaluation, and business insights.

During my Data Science program at Explore Data Science Academy, I developed an NLP pipeline that classified more than 15,000 tweets for sentiment analysis, achieving an 85% F1-score while addressing class imbalance.

I've also created a movie recommendation system using TF-IDF, cosine similarity, and collaborative filtering, then deployed an interactive Streamlit application for new users and movies.

My earlier data analysis work included cleaning and validating datasets, conducting descriptive analysis in SPSS, producing visualisations, and communicating statistical findings to BTech students.

Experience

Work history, roles, and key accomplishments

Educator

South Korea

Mar 2022 - Jan 2025 (2 years 10 months)

Educator in South Korea.

Data Science Intern

Cell C

Jan 2021 - Jul 2021 (6 months)

Engineered an end-to-end customer churn prediction solution including data preparation, feature engineering, model development, and evaluation. Trained and benchmarked multiple classification algorithms, optimized performance through feature selection and hyperparameter tuning, and translated model outputs into actionable business insights.

Python scikit learn Pandas NumPy Matplotlib SeaBorn Machine Learning Feature Engineering Hyperparameter Tuning Cross Validation Classification Data Visualization

Data Science Program

Explore Data Science Academy

Jan 2020 - Nov 2020 (10 months)

Developed an end-to-end NLP and machine learning pipeline using Python, NLTK, and spaCy to preprocess and classify over 15,000 tweets for sentiment analysis. Trained and compared multiple machine learning algorithms, addressing class imbalance and achieving an 85% F1-score.

Python NLTK SpaCy TF IDF Cosine Similarity Machine Learning Sentiment Analysis Data Cleaning Data Visualization Comet.Ml Streamlit Recommendation Systems

Administrative Support Assistant

Acer

Aug 2019 - Oct 2019 (2 months)

Administrative support assistant at Acer in South Africa.

Data Analyst Intern

Tshwane University of Technology

Mar 2017 - Aug 2018 (1 year 5 months)

Executed data cleaning, validation, and preparation procedures for statistical analysis, ensuring high data quality. Conducted descriptive statistical analysis using SPSS across multiple BTech dissertation projects and generated visualizations to convey findings.

Data Cleaning Data Validation Statistical Analysis SPSS Descriptive Statistics Data Visualization Documentation