Ismail Moujoud | Data Analyst | Aspiring Data Scientist

Ismail Moujoud

Data Analyst | Aspiring Data Scientist

Based in Salé

About

I am a dedicated Data Science enthusiast with a master's degree in computer science, specializing in Big Data, AI, and Machine Learning. With prior experience as a Data Analyst at LA POSTE, I am currently honing my skills as a Data Scientist through a specialized Data Science track at ALX. My passion for continuous learning drives me to actively engage in Data Science communities, ensuring I remain at the forefront of the discipline. My ultimate goal is to leverage my expertise to contribute to impactful projects that utilize data-driven solutions. My commendable achievements include leading data analysis projects and collaborating on the development of Machine Learning models to enhance prediction accuracy.

Skills

Projects

Diabetes Prediction with Decision Trees

Diabetes Prediction with Decision Trees. This endeavor explores supervised machine learning techniques, focusing on the potent tool of Decision Trees to forecast diabetes onset using the pima-indians-diabetes.csv dataset curated by the National Institute of Diabetes and Digestive and Kidney Diseases

Data Cleaning and Statistical Analysis with Python

Dive into the intricacies of data cleaning and statistical analysis using Python on a banking operations dataset, detecting outliers, and generating informative visualizations with Pandas, NumPy, and Matplotlib. Gain insights into conducting statistical analyses for informed decision-making.

Insights from Agricultural Data: EDA and Data Validation Using Python

Explore agricultural data through EDA and validation. Through extensive data analysis and visualization of geographic, weather, soil, and farm management features, we aim to unearth valuable insights to inform decision-making and optimize farming practices.

Exploring Water Access: SQL Database Analysis Project

In this project, we delve into the realm of water access data analysis using SQL. Utilizing MySQL Workbench, we explore various concepts including number, string and date functions, window functions, control flow functions, entity-relationship data models, joins, views, and normalization techniques.

AI-Powered Video Conferencing Solution with Facial Recognition

My master's final project : An innovative solution utilizing AI for facial recognition within an open-source video conferencing platform. By integrating facial recognition capabilities, the system offers enhanced security for user authentication and attendance marking during video confernces.