• Prepare and structure courses according to the university curriculum. • Evaluate students through practical work, projects, and exams. • Adapt teaching methods to integrate the latest trends in machine learning. Course: Introduction to Machine Learning, 30 hours • Objective: Fundamental concepts of machine learning, basic algorithms, model evaluation, and practical applications. Course: Machine Learning with Python, 30 hours • Objective: Data preparation and implementation of machine learning algorithms using libraries such as Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn. Skills: English, Online Classroom Management, Effective Communication, Adaptive Pedagogy, Critical Thinking, Administrative Coordination, Remote Teaching – Machine Learning, Statistics, Python.

Women AI Academy | Feb 2023 - Present

Lead Mentor & Data Scientist Instructor

Data analysis/ Data engineering Bootcamp • Mentor and guide students in the practical application of key data analytics and data engineering concepts. • Provide constructive feedback on student projects and exercises. • Collaborate with instructors to develop program content. • Encourage teamwork and effective communication skills. • Assist students in advancing their careers by providing personalized advice and support. Mentoring: • Sessions: Weekly • Objective: • Provide personalized support to learners in various courses such as SQL, Data Engineering, Excel, Tableau, Power BI, Docker, Git, and GitHub. • Help learners understand and master the concepts covered in their respective courses. • Assist learners with the installation of necessary software for the training and troubleshoot any technical issues. Course: Introduction to Mathematics and Statistics for Data Analysts, 20 hours • Objective: Introduce essential mathematical and statistical concepts for a data analyst, covering descriptive statistics, distributions, outliers, probabilities, and hypothesis testing. Course: Introduction to Machine Learning and Generative Language Models, 20 hours • Objective: Teach the fundamentals of machine learning, including data preparation, modeling, performance evaluation, and an introduction to generative language mode. Skills: English, Leadership, Mentorship, Collaboration, Reporting, Online Classroom Management, Facilitation, Problem Solving, Project Management, Administrative Management, Effective Communication, Remote Teaching – Machine Learning, Artificial Intelligent, Generative AI, Statistics, Python, SQL, Data Visualization, Git, Docker, ETL Pipelines, Data Engineering, Excel, Tableau, Power BI, GitHub.

INRIA-CAPSID TEAM | Apr 2020 - Sep 2020

Data Scientist

Tracer study of patients suffering from anti-phospholipid syndrome: - Identification and collection and preparing of data needed for the study - Development of a Shiny application to assist medical experts in analyzing patient follow-up - Visualization of patient flows unsing Sankey diagrams - Pattern Mining: Analysis and extraction of frequent sequences from individual patient trajectories Covid-19 Data Analysis : - Collection and preparation of Covid-19 data from France (SI-DEP) - Visualization of Covid data using Sankey diagrams according to several socio-economic criteria: gender, age, region Skills: Communication, Collaboration, Reporting, User Needs Adaptation, Results Communication, Data Analysis, Data Visualization – SQL – Python (GeoPandas, folium) - R (dplyr, arulesSequences, ggplot2, NetworkD3)

OCP Group - Trading Room | Feb 2019 - Jun 2019

Data Scientist

Study of the behavior of the net asset values of UCITS : - Financial market analysis using the Capital Asset Pricing Model (CAPM) - Time series modeling using ARMA(p,q) models and prediction of the return of each UCITS Skills: Teamwork, Communication, Reporting, Results Communication, Financial Analysis, Time Series Modeling – Python (Pandas, NumPy, matplotlib, seaborn, datetime, statsmodels, linearmodels), R (dplyr, stats, systemfit, knitr, forecast, aTSA, lmtest, ggplot2, corrplot), R Markdown.

My Education

Take a look at my formal education

University Degree in Student EntrepreneurUniversity of Lorraine | 2022

Master Degree in Data ScienceUniversity of Lorraine | 2020

Engineer Diploma in Statistics and Applied EconomicsNational Institute of Statistics and Applied Economics (INSEA) | 2019

Preparatory classes for engineering schools in Mathematics – Physics and Engineering ScienceCPGE | 2015

About Me

Skilled Data Scientist with expertise in machine learning, and statistical modeling, seeking opportunities to apply skills in industry or academia for impactful projects. Excellent communicator, adaptable, and effective in teams or independently

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Salma AZIZ

Data Science Instructor & Mentor

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Python Fundamentals

Introduction to Python

Python Fundamentals

Quantitative navigator, guiding decision-makers through the sea of data.

My Work

Python Fundamentals

Introduction to Relational Databases in SQL

Python Toolbox

Introduction to Functions in Python

Unsupervised Learning in Python

Understanding Machine Learning

Cleaning Data in Python

Object-Oriented Programming in Python

NoSQL Concepts

Supervised Learning with scikit-learn

Introduction to Statistics

Introduction to SQL

Introduction to Docker

Introduction to Python

Intermediate Python

Introduction to SQL

Python Fundamentals

DataCamp Course Completion

Courses

Courses

Tracks

Projects

My Work Experience

Karlsruhe University of Applied Sciences | Sep 2023 - Present

Machine Learning Lecturer

Women AI Academy | Feb 2023 - Present

Lead Mentor & Data Scientist Instructor

INRIA-CAPSID TEAM | Apr 2020 - Sep 2020

Data Scientist

OCP Group - Trading Room | Feb 2019 - Jun 2019

Data Scientist

My Education

About Me