Hey, I'm Famakan

Final-year Data & AI Engineering student at ENSA Khouribga.

I build data pipelines, ML models, and optimization systems.

Seeking a PFE internship from February 2027.

Hire Me
Famakan Camara

Portfolio

My Last Projects :

TSP Solver - Metaheuristics

TSP Solver — Metaheuristics

Python Flask Simulated Annealing VNS Greedy

Implemented and compared multiple optimization heuristics (Variable Neighborhood Search, Simulated Annealing, Greedy) for the Traveling Salesman Problem, exposed through a Flask web application.

Hadoop Cluster - MovieLens 32M

Hadoop Cluster — MovieLens 32M

Hadoop HDFS MapReduce Java Python

Set up a 3-machine Hadoop cluster (1 NameNode + 2 DataNodes) and implemented 8 MapReduce jobs in Java/Python to process a large-scale dataset, in a team setting.

Emotion & Stress Detection

Emotion & Stress Detection — ML & Transformers

Python BERT DistilBERT BiLSTM Flask React SQLite

Full system for detecting 28 emotion classes and binary stress from text. Compares LinearSVC, BiLSTM, BERT and DistilBERT. 98% accuracy on stress detection. History stored in SQLite, deployed with Flask + React 19.

Darija Summarization

Darija NLP — Automatic Summarization

AraT5V2 HuggingFace Angular 19 Node.js Flask

Fine-tuned AraT5V2 on GOUD-Sum dataset for automatic summarization of Moroccan Darija articles. Full-stack app: Angular 19 frontend, Node.js/Express backend, Flask inference service.

DeepPneumonia

DeepPneumonia — Chest X-Ray Classification

VGG16 TensorFlow Keras Flask

Binary pneumonia detection on chest X-rays using VGG16 Transfer Learning. 87.2% accuracy, 90.3% recall, 94% AUC. REST API with drag-and-drop web interface.

xAgriScan

xAgriScan — Apple Disease Detection + AI

ResNet50 PyTorch Gemini API React 18 Flask

Apple leaf disease classifier (6 classes) using fine-tuned ResNet50. Generates automated agronomic treatment advice via Gemini Flash API. Supports single and batch image prediction.

Sales Dashboard Big Data Streaming

Sales Dashboard — Big Data Streaming

Python Streaming Dashboard

Real-time sales analytics pipeline with simulated streaming architecture (event simulators + file/CSV polling). Data collector and live dashboard with SQL queries and calculated KPIs — fully built in Python.

Sales Management System

Sales Management System — RAG Chatbot

Jakarta EE Spring Boot React RAG Python

Full-stack sales management and analysis platform with SQL analytical queries/KPIs and an AI chatbot based on RAG architecture. Java/Spring Boot backend, React frontend, Python AI service.

About Me

Driven by Data, Powered by Code

I am a final-year (3rd year) Engineering student at ENSA Khouribga, specializing in Data Engineering and AI. I design end-to-end data pipelines, formulate and solve optimization problems (Mixed Integer Linear Programming, metaheuristics), train and fine-tune Deep Learning models (87% accuracy on medical imaging), and build RAG-based conversational agents. I am actively seeking a PFE internship (4-6 months) to apply my skills in a real-world, data-driven environment.

Status : Seeking PFE Internship — from Feb. 2027

Technologies I work with

Optimization & Operations Research

  • Mixed Integer Linear Programming (MILP)
  • ALNS (Adaptive Large Neighborhood Search)
  • Simulated Annealing / Variable Neighborhood Search
  • Discrete-Event Simulation (SimPy)

ML & Deep Learning

  • TensorFlow
  • Keras
  • Scikit-learn
  • Transfer Learning
  • Fine-tuning

NLP & LLM

  • HuggingFace Transformers
  • BERT
  • RAG Systems
  • Atlas 9B
  • Gemini 2.5 Pro (API)

Data Engineering

  • Python (Pandas, NumPy)
  • SQL advanced
  • ETL Pipelines
  • Hadoop (HDFS, MapReduce) / Spark, PySpark
  • Power BI / SSIS / SSAS

Databases

  • PostgreSQL
  • MongoDB
  • MySQL
  • SQL Server

Backend & Dev

  • Python
  • Java / Spring Boot
  • Flask API
  • Node.js
  • React

Tools & DevOps

  • Git / Linux
  • Docker (notions)
  • Label Studio
  • Jupyter Notebook
  • VS Code

Education

2020 - 2021

High School Diploma (Bac)

Sokona Dramera Yangué Private High School, Kéniéba, Mali
Honors: Good

2021 - 2024

Integrated Preparatory Classes

ENSA Khouribga
Intensive curriculum in Mathematics, Physics, and Computer Science.

2024 - 2027

Engineering Cycle — 3rd (Final) Year

ENSA Khouribga
Specialization: Data Engineering & AI (Big Data, Machine Learning, NLP, Cloud).

Experience

OCP Group

Aug – Sept 2026

PFA Internship — MaritimeFlow, Maritime Fleet Optimization

OCP Group, Khouribga

Built an AIS data pipeline (cleaning, segmentation of ~27,000 trips, 19-40M raw positions/month) with DBSCAN port clustering (500 clusters) and an Origin-Destination matrix (15,671 trips). Trained an ETA prediction model (LightGBM): MAE 34.5h, R²=0.72 on test set. Formulated a Mixed Integer Linear Program (MILP) combined with an ALNS metaheuristic for fleet routing, then built a discrete-event simulation (SimPy) to benchmark the optimized policy against the existing practice.

OCP Group

Jul – Aug 2025

Internship (Stage d'Initiation) — Data & Full-Stack Developer

OCP Group, Khouribga

Designed a PostgreSQL relational schema for technical intervention tracking. Built analytical SQL queries and real-time KPI dashboards. Delivered a full-stack application (Node / React) in an industrial production environment.

Certifications

Associate Data Engineer - DataCamp

Associate Data Engineer

DataCamp Aug 2026

Certified as an Associate Data Engineer by DataCamp, validating skills in ETL pipelines, SQL, Python data processing and data pipeline design.

Associate Data Analyst - DataCamp

Associate Data Analyst

DataCamp Aug 2026

Certified as an Associate Data Analyst by DataCamp, covering data exploration, SQL querying, statistics and data visualization for business insights.

AI Engineer for Data Scientists Associate - DataCamp

AI Engineer for Data Scientists Associate

DataCamp Aug 2026

Certified as an AI Engineer for Data Scientists by DataCamp, covering LLM integration, model fine-tuning workflows and AI application development.

Services

Optimization & Operations Research

Formulating and solving Mixed Integer Linear Programs (MILP), designing metaheuristics (ALNS, Simulated Annealing, VNS), and validating solutions with discrete-event simulation (SimPy).

Machine Learning & Deep Learning

End-to-end ML pipelines: data preprocessing, feature engineering and model training using CNN, LSTM and SVM. Specialized in Transfer Learning (ResNet50, VGG16) for medical and agricultural image classification.

NLP & LLM Engineering

Fine-tuning NLP models (AraT5V2, BERT) and building RAG systems with LLMs (Gemini Flash). Experience on low-resource languages (Moroccan Darija), text summarization and multi-class emotion classification.

Data Engineering & BI

ETL pipeline design, relational and NoSQL database modeling (PostgreSQL, MongoDB), Big Data processing (Hadoop, MapReduce) and interactive dashboards with Power BI and SSIS.

Contact Me

Have You Any Questions ?

I'M AT YOUR SERVICES

Call Me On

+212 675 22 05 68

Location

Khouribga, Maroc

Email

camarafamakan2@gmail.com

Website

camarafamakan.me

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