Nawfal Abbassi Saber

I am a Lead HR Digital & Analytics at OCP with a strong background in AI, machine learning, and data science, now open to freelance missions where I can help organizations unlock value from their data.

Over the past years, I’ve led projects at the intersection of HR, business, and advanced analytics, designing solutions that range from predictive models for workforce behavior to AI-powered decision-support systems. My expertise spans:

Machine Learning & AI: supervised and unsupervised learning, reinforcement learning, predictive modeling, and recommendation systems.

Data Science & Analytics: advanced statistical modeling, NLP, time series forecasting, and optimization.

Digital Transformation: building data-driven platforms, designing dashboards, and scaling analytics solutions into business processes.

People Analytics: applied AI for talent, skills, absenteeism, and organizational performance.

What sets me apart is my ability to translate complex algorithms into practical, impactful solutions that support strategic decision-making. Whether it’s developing a machine learning model, building a retrieval-augmented AI agent, or guiding a company through data-driven transformation, I bring both technical depth and business acumen.

Developing intern applications for Veolia using Python for back-end and web compo- nents (Polymer and Angular 4) for front-end along with Google cloud platform. Most of the application that I’m working on are about analyzing and making use of data that comes from the company’s data-lake.

Outlines:

• Working on various topics and data-driven projects.

• For data analysis and machine learning we used: Python, Pandas, Numpy, Big query , Cloud, Google Data studio.

• For web developpement we used: Python, Flask, Google App engine, Endpoints, Django, Angular, JavaScript, SQL, AWS, Mathematics

• Used the google cloud platform to host and build applications.

• For front-end development I used HTML, CSS and JavaScript.

• Used Polymer and Angular as front end frameworks to develop Google Cloud Platform based web applications.

• Used Polymer in two projects and Angular in one project.

• For the back-end, we used Django, webapp 2, flask and endpoints.

• For databases we used GCP datastore and cloud SQL.

• For blob and big files storage we used GCP's buckets.

• Used Bigquery to store and analyse big tables.

• Used multiple Google Cloud Platform services like storage buckets, app engine, endpoints and cloud sql.

• For a serverless application we used the AWS lambda service ans AWS S3 services.

• For analytics we used BigQuery with Data studio to build dashboards, using BigQuery needed careful attention since bad request may result in huge costs.

Expérimentation et modélisation de la Qualité d'expérience de YouTube.

Utilisation des technique d'intelligence artificielle pour créer un model capable de faire la prédiction de la QoE et le conception et l'implémentation des technique d'Active Learning pour accélérer l'apprentissage du model

Techniques et Framework utilisés :

Python 2.7, scikit-learn, Numpy, Matplotlib et bien d'autre librairies scientifiques.