Younes Benali
@younesbenali
I build production-ready ML pipelines, analytics dashboards, and full-stack applications from raw data to deployment.
What I'm looking for
I've engineered a high-throughput machine learning pipeline for a 44M+ row dataset, using Pandas and NumPy to support TensorFlow forecasting and anomaly-detection models.
Through independent data science, ML, and AI work, I build end-to-end workflows spanning ETL, data preprocessing, feature engineering, model training, evaluation, and deployment as scalable web applications. I also create Tableau and Plotly dashboards that turn multi-source data into actionable KPI views.
For 25+ freelance clients, I've delivered full-stack applications with Next.js, Node.js, and PHP, integrating Python analytics backends to replace manual reporting with real-time dashboards. I've maintained a 100% on-time delivery rate, earning repeat business and referrals.
Experience
Work history, roles, and key accomplishments
Data Science, ML & AI Engineer
Independent Projects & Research
Jan 2024 - Present (2 years 7 months)
Engineered high-throughput ML pipelines using Pandas and NumPy on 44M+ row datasets, powering TensorFlow-based forecasting and anomaly detection models. Productionized AI solutions as scalable web applications and designed analytics dashboards in Tableau and Plotly.
Education
Degrees, certifications, and relevant coursework
Université des Sciences et de la Technologie d’Oran Mohamed-Boudiaf (USTO-MB)
Bachelor's Degree, Computer Science
Pursued a Bachelor's Degree in Computer Science, gaining foundational knowledge in computing and software development.
GOMYCODE Algérie
Certificate, Data Science
Completed a Data Science Certificate, focusing on data analysis, machine learning, and data-driven decision making.
NVIDIA
Certificate, Deep Learning
Earned a Deep Learning Certificate from NVIDIA, covering advanced topics in neural networks and deep learning frameworks.
Availability
Location
Authorized to work in
Job categories
Skills
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