Fali Honutse | Portfolio

About Me

Hi, I'm Fali Dillys Honutse, and I believe in the transformative power of data to drive decision-making and solve complex problems. With expertise in data analytics, machine learning, and business intelligence, I am passionate about turning raw data into meaningful insights. I hold a Master of Science in Data Science (May 2025), a Master’s in Accounting & Finance, and a Bachelor’s in Actuarial Science. I am eager to leverage my analytical skills to help companies make data-driven decisions and optimize their operations.

Experience

Graduate Assistant - University of New Haven

Developed Power BI dashboards to assist leadership in decision-making.

Regulatory Data Analyst - Allied Health Professions Council

Reversed a 25% decline in registrations through trend analysis.

Data Analyst - Ho Technical University

Led a research initiative that contributed to a 60% increase in student enrollment.

Skills

Programming Languages

Python (Pandas, NumPy, Scikit-learn)

SQL (MySQL)

VBA

BI & Data Visualization

Power BI

Tableau

Advanced Excel

Data Warehousing

Dimensional Modeling

ETL

Statistical Analysis & Machine Learning

Regression & Classification

Clustering

SPSS, R

Machine Learning, MLOps

Cloud Technologies

AWS

Soft Skills

Stakeholder Engagement

Communication

Attention to Detail

Team Collaboration

Leadership & Associations

Leadership Roles

Vice President, Diversity & Inclusion | Graduate Student Council, University of New Haven
Director of Welfare | African Graduate Students Association

Professional Associations

Member | The Association of Data Scientists
Member | Royal Statistical Society
Member | Society of Women Engineers
Member | National Society of Black Engineers

Projects

Insurance Claim Predictor

Built an interactive Streamlit web app to predict whether a customer is likely to file an insurance claim. Users can input customer data and receive instant predictions powered by a trained classification model.

View App

Sentiment Analysis and Text Classification

Built machine learning models for sentiment classification in text data, achieving high accuracy.

View on GitHub

Deep Learning for Image Classification

Implemented a convolutional neural network (CNN) for image classification, enhancing model performance.

View on GitHub

Amazon Recommendation System

Developed a collaborative filtering-based recommendation engine in Python, optimizing product recommendations.

View on GitHub

Insurance Premium Analysis

Applied statistical modeling to uncover factors influencing premium rates, improving predictive accuracy.

View on GitHub

Contact

Email: fhonutse@yahoo.com

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