Abraraw Ayal Profile

Abraraw Ayal

Data Science Student at Bahir Dar University

Explore My Projects

About Me

Hello! I’m Abraraw Ayal, a dedicated data science student at Bahir Dar University. My journey in data science began with a curiosity for uncovering patterns in complex datasets, leading me to master machine learning, statistical analysis, and data visualization. I’ve worked on projects tackling real-world challenges like unemployment forecasting and sales prediction, using tools like Python and SQL. My goal is to leverage data to drive impactful solutions in industries like healthcare and finance.

I’m proficient in end-to-end data pipelines—data collection, cleaning, modeling, and deployment—and I thrive on turning raw data into actionable insights. Currently, I’m exploring advanced topics like deep learning and big data frameworks to push my skills further.

Abraraw Ayal

Skills

Python 90%
NumPy 85%
Pandas 85%
Scikit-Learn 80%
TensorFlow 70%
Matplotlib 75%
Seaborn 75%
SQL 80%
Git 70%
HTML/CSS/JS 65%

Projects

Iris Classification

Iris Flower Classification

Developed an SVM model using Scikit-learn to classify iris species above 95% accuracy, deployed via Gradio. Dataset: UCI Iris Dataset.

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Unemployment Forecasting

Unemployment Rate Forecasting

Applied ARIMA to forecast unemployment trends during COVID-19 using World Bank data, achieving a 12% error margin.

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Sales Prediction

Built a linear regression model to predict future sales with best accuracy using historical retail data.

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Car Price Prediction

Car Price Prediction

Used feature engineering and random forest regression to predict used car prices with a 10% error rate. Dataset: Kaggle Car Dataset.

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Customer Segmentation

Customer Segmentation

Implemented K-means clustering to segment customers for a marketing campaign, using a 500-row dataset from a retail client.

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Contact

Or reach me at:

Email: abrarawayu@gmail.com

GitHub: Abre1234

LinkedIn: Abree1234