Hey, my name is
Ismail
Moujoud
Data Scientist
Years of experience
Projects done
Python
R
Machine Learning
JAVA
C#
MySQL
PostgreSQL
SQLite
MongoDB
Cassandra
Microsoft Power BI
Microsoft Azure
My latest projects
Explore my latest data science projects, where I apply a range of analytical techniques to solve real-world challenges. Each project demonstrates my skills in data exploration, modeling, and visualization. Click below to dive deeper and discover the full collection of projects showcasing my journey and growth in data science.
Identify and classify malaria parasites in blood slide images
Identify locations in a tweet
Predicting the burned area in different locations in Zimbabwe over 2014 to 2016.
Create an interactive, visually rich report to support policymakers and stakeholders in making informed, impactful decisions.
Education & Experience
May 2023 - Aug 2024
ALX Africa data science programme - explore ai
Intensive data science programme covering key areas including data preparation, SQL queries, data visualization, Python programming, regression analysis, classification, Natural Language Processing (NLP), unsupervised learning, and basics of AWS.
Sep 2018 - Feb 2022
MBA Expert in Computer Systems - CFA-ITIS
Expert Engineering Degree in Computer Systems
Specialization in Big Data - AI - Machine Learning
Certified Title Level 7 registered with the RNCP
Sep 2017 - Jun 2018
Bachelor in IT Project Management - ETNA
Software Architect, Application Developer
Sep 2016 - Jun 2017
Bachelor's Degree in Mathematics and Computer Science - Paris Dauphine University
Mathematics-Computer Science - 3rd year of Bachelor's Degree
My services
01.
Data Preparation & Cleaning
In any data science project, having clean, well-structured data is essential. I specialize in transforming raw data into a usable format by handling missing values, correcting inconsistencies, and structuring data to support deeper analysis. This process ensures that every dataset I work with is accurate, reliable, and ready to drive meaningful insights.
02.
EDA & Insight Discovery
I use exploratory data analysis (EDA) as a foundational step to uncover trends, patterns, and relationships within data. Through EDA, I aim to reveal underlying stories within the data, helping to inform more targeted analysis or modeling down the line. My approach includes both statistical methods and visualization techniques to deliver clear insights from even the most complex datasets.
03.
Data Storytelling & Visualization
Presenting data in a way that’s visually engaging and easy to understand is one of my strengths. Using a range of visualization tools and techniques, I craft visuals that make complex data more accessible and impactful. By transforming raw numbers into compelling visuals, I help stakeholders quickly understand key findings and make data-driven decisions.
