Abdirizack Subane
@abdirizak786
Entry-level Machine Learning and NLP enthusiast eager to innovate.
What I'm looking for
As a passionate entry-level Machine Learning and NLP enthusiast, I strive to contribute to impactful startup teams by developing intelligent, data-driven solutions. My experience includes working with Python and deploying models using tools like Streamlit and Flask, focusing on creating real-world applications such as text classification and recommender systems.
During my internship, I developed a comprehensive understanding of machine learning algorithms, including Linear & Logistic Regression, Decision Trees, and more. I successfully built an end-to-end ML web application that integrated machine learning models with a Flask backend and a responsive HTML/CSS frontend. My projects, such as the Movie Recommendation System, showcase my ability to implement collaborative filtering and content-based methods, demonstrating my commitment to delivering effective solutions.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
A startup focusing on developing innovative tech solutions.
Developed and implemented various machine learning algorithms, including Linear & Logistic Regression, Decision Trees, and Random Forest. Built complete ML pipelines from data preprocessing to model deployment, integrating models with Flask backend and responsive HTML/CSS frontend.
Education
Degrees, certifications, and relevant coursework
Regenesys School of Technology
Associate's, Data Science
Completed an Associate's degree in Data Science, gaining foundational knowledge in data analysis, machine learning, and statistical methods. Developed skills in Python for data manipulation and model building.
Availability
Location
Authorized to work in
Job categories
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