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Généreux Akotenou

MSc in Data Science at Mohamed VI Polytechnic University

About Me

Hi, I’m Généreux Akotenou, a Data Scientist with a passion for turning complex data into actionable insights. I specialize in machine learning, data analysis, and predictive modeling. My goal is to leverage data-driven solutions to solve real-world problems and drive impactful decision-making.

More specifically, my research interests are:

  • Natural Language Processing, Understanding and generating human language.
  • Bioinformatics, Computational analysis of biological data.
  • Ethical AI, Data Gouvernance, Fairness and transparency in AI systems.
  • Reinforcement Learning, Training agents to make decisions through trial and error.
  • Computer Vision, Enabling machines to interpret and make decisions based on visual data.
  • AI in Finance, Financial analysis and decision-making based on ML.
I'm currently VERY INTERESTED at Large Language Models and keeps exploring and trying related techniques. I'm open to the job market this Autumn, feel free to contact me through my email: mahouzonssou.akotenou@um6p.ma

Education

DegreeInstitutionDuration
Master in Quantitative and Financial ModelingCollege of Computing, Mohamed VI Polytechnic University, Morocco2023
Bachelor of Science in Software EngineeringInstitute of Training and Research in Computer Science, National University of Abomey-Calavi, Benin2022
Scientific Baccalaureate (Mathematics and Physical Sciences Option)Joséphine Bakhita College, Calavi Benin2019

Publications

JFPC 2023

[Paper]  GRAILSOLVER, à la dernière itération de l'obtention du graal de la programmation V. R. Houndji, G. Akotenou, A. M. Kousse, K. Bonou Selegbe. Accepted at Journées Francophones de Programmation par Contraintes (JFPC), 2023, Strasbourg, France. GrailSolver is a Constraint Programming (CP) solver that automates the analysis, modeling, and solving processes using a combination of GPT NLP model and Google's OR-Tools CP solver.

DeLTA 2023

[Paper]  UML Designer: An Automatic UML Diagram Design Tool V. R. Houndji, G. Akotenou. In: Conte, D., Fred, A., Gusikhin, O., Sansone, C. (eds) Deep Learning Theory and Applications. DeLTA 2023. Communications in Computer and Information Science, vol 1875. Springer. UMLDesigner is an application of NLP in sofware modeling context. It simplifies functional analyses for development projects by automating the creation of UML class diagrams from textual descriptions of the system to be designed.

Prizes & Certifications

Advanced Learning Algorithms

Advanced Learning Algorithms

DeepLearning.AI

Issued May 2024

Unsupervised Learning, Recommenders, Reinforcement Learning

Unsupervised Learning, Recommenders, Reinforcement Learning

DeepLearning.AI

Issued May 2024

Fundamentals of Accelerated Computing with CUDA Python

Fundamentals of Accelerated Computing with CUDA Python

NVIDIA

Issued Apr 2024

Supervised Machine Learning: Regression and Classification

Supervised Machine Learning: Regression and Classification

DeepLearning.AI

Issued Dec 2023

AWS Cloud Developer Nano Degree

AWS Cloud Developer Nano Degree

Udacity

Issued Oct 2022

Scientific Computing with Python

Scientific Computing with Python

freeCodeCamp

Issued Nov 2021

Data Analysis with Python

Data Analysis with Python

freeCodeCamp

Issued Dec 2021

54 /1045 -  Microsoft Learn Location Mention Recognition Challenge (LLM)

54 /1045 - Microsoft Learn Location Mention Recognition Challenge (LLM)

Zindi (Data context platform)

2024

Second Prize - MAIC 2020 Artificial Intelligence Competition (Game AI)

Second Prize - MAIC 2020 Artificial Intelligence Competition (Game AI)

Seega Game AI Development

2020

Recent Projects

Genomics S2 Project
2024
The goal is to replace the high computational approach of assigning gene function using similarity by leveraging machine learning techniques to classify Protein sequences in plant genomes into different gene families
Technologies: Machine Learning
Bank Review Intelligence (Team)
2024
BankReviewIntelligence is a data-as-a-product platform that provides in-depth analytics and decision-making support based on customer reviews of banks. In this project, we set up a pipeline to collect real-time data from Google Maps and build a data warehouse and dashboarding system for decision support. The first version of the project has been released based on scraped data from Morocco, Benin, Senegal, Kenya, Ghana, and Ivory Coast bank customer reviews.
Technologies: AIRFLOW, SUPERSET, DATAWAREHOUSE, DATA ENGINEERING, NLP
Bayesian Regression
2023
The primary objective of this project is to develop predictive models for stock market movements using two distinct regression approaches: Simple Regression and Bayesian Regression.
Technologies: ML, Bayesian_regression
RLs: Reinforcement Learning Algorithms in Gaming-Like Style
2024
This repository demonstrates the application of Reinforcement Learning (RL) algorithms in gaming-like scenarios, making learning RL intuitive, practical, and engaging. It includes various RL algorithms like Q-Learning and DQL, prebuilt gaming environments, and tools for training, testing, and visualization.
Technologies: Reinforcement Learning, Python, Gaming Simulations, Machine Learning
TRANSFORMERS: Implementing Seq2Seq Architecture Papers
2024
This repository focuses on implementing papers for Seq2Seq architecture tasks, including 'Attention Is All You Need' and 'Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention.' It also includes support for the Hugging Face library format, aiming to explore transformers on large-context inputs, such as entire genomes.
Technologies: Transformers, Seq2Seq Architecture, Hugging Face, Machine Learning, Genomics
Location Mention Recognition
2024
The objective is to do Location Mention Recognition from microblogging posts during emergencies using LLM and BERT.
Technologies: Natural Language Processing, LLM, BERT
Drug Discovery with ML
2024
A bioinformatics project using machine learning techniques to aid in drug discovery and data analysis.
Technologies: Machine Learning, Bioinformatics, Drug Discovery
LangAI: Ewe Audio Translation
2024
TechCabal Ewè Audio Translation Challenge: A project focused on translating Ewè audio using advanced language models.
Technologies: Audio Translation, Natural Language Processing
NASA Breath Diagnostics E-nose
2024
The objective of this challenge is to develop a classification model that can accurately diagnose patients with COVID-19 based on data captured using NASA's E-Nose device.
Technologies: Classification Models, Bioinformatics, Sensor Data
Amazon Secret Runway Detection
2024
GeoAI Amazon Basin Secret Runway Detection Challenge: Using geospatial AI techniques to detect hidden runways in the Amazon Basin.
Technologies: GComputer Vision, Remote Sensing

[ View more projects on github ... ]

Experience

Professional Internship

CYBERSPECTOR

July 2022 - July 2023

Held a developer position, working with the internal team on several projects. Technologies used: VueJS, NodeJS.

Backend Developer

Marketscc cryptocurrencies

September 2022 - December 2022

Contributed to the development of a payment and cryptocurrency exchange API for banking and mobile money. Technologies used: PHP, Laravel, Linux Server.

Java Developer

Université catholique de Louvain ·

July 2022 - December 2022

As Freelancer ina team of 3 members, we contributed to the development of VisualSearchTree, a desktop software for real-time visualization of the search process of a Constraint Programming solver. Technologies used: Github Action, IntelliJ, Java.

Web Developer

MAIC Organization

August 2021 - December 2022

Helped develop a platform promoting AI among youth through coding competitions. Involved in UI development and API integration. Technologies used: VueJs, ThreeJs, JavaScript, Axios, Git.

Company Immersion Internship

Malaika Game Studios

July 2021 - October 2021

Contributed to the development of CashMaster, a mobile game with Unity3D. Involved in game design and development, and developed a virtual currency payment platform. Technologies used: C#, PHP, HTML, CSS, JS.

Volunteering

MLOps Trainer

Data Afrique Hub

Jun 2024 - Present · 4 mos

This summer, I served as a trainer at the academy, delivering courses on MLOps. I focused on teaching automation and management of the end-to-end machine learning lifecycle through code, scripts, and configuration files, covering everything from data ingestion and model training to deployment and monitoring.

Coordinator of student Club

IFRI-UAC

Jan 2021 - Jan 2023 · 2 yrs 1 mo

As the Coordinator of the Student AI & IoT Club at IFRI, Abomey-Calavi University, I led and managed activities related to artificial intelligence and the Internet of Things. My responsibilities included organizing workshops and hands-on projects to foster learning and collaboration among students.

AI Hackathon Dev

MIFY - Machine Intelligence For You

Sep 2021 - Nov 2023 · 2 yrs 3 mos

I contributed to developing the MAIC platform, which aimed to promote artificial intelligence among young individuals through the organization of AI development competitions. Participants were allowed to create teams and engage in coding hackathons, focusing on the design of decision-making AI systems for strategy video games. My specific responsibilities encompassed the development of the platform's user interface, where I utilized APIs to implement essential features including registration, AI submission, result tracking. Matches were made viewable in both 2D and 3D environments.