Portfolio | Danielle Tsemo

About Me

I'm Danielle

Data Scientist & AI Researcher

I am Nguemtchueng Tsemo Bibiane Danielle, a passionate Data Scientist and AI Researcher currently pursuing a Master's in Mathematical Sciences (Big Data) at AIMS Senegal, Mbour. My research spans flood forecasting with LSTM models, NLP for African languages, computer vision, and generative AI. I am a strong advocate for women in STEM across Africa, winner of the JCIA Hackathon 2025, and a recognized speaker at Deep Learning Indaba.

Email: nguemtchueng.t.danielle@aims-senegal.org

Location: Mbour, Senegal · Yaounde, Cameroon

Nationality: Cameroonian 🇨🇲

Languages: French (native), English

Resume

My Education

Education is not the learning of facts, but the training of the mind to think.

Master's in Mathematical Sciences – Big Data

African Institute for Mathematical Sciences (AIMS) Senegal | Mbour, Senegal

In Progress · 2024–2025

Bachelor of Science – Computer Science, Data Science

University of Yaounde 1 | Yaounde, Cameroon

Completed · July 2023

Data Scientist Training – CAYSTI Scholarship

TechWomen Factory – CAYSTI | Yaounde, Cameroon

April 2022 – June 2023 | 🏆 Best Student in Data Science

Work Experience

HYDROAS PROJECT · Remote

Researcher Internship

Nov 2023 – 2025

LSTM-based flood forecasting model for Ouémé basin, Benin
Processed 30+ years of hydrometeorological data
Delivered 7-day real-time flood prediction pipeline
Presented results at AfriClimate AI, Deep Learning Indaba 2024

ENIX SARL · Yaounde, Cameroon

Data Scientist Internship

December 2022 – 2023

ML models for cyber threat detection & risk assessment
Dashboards and visualizations using Splunk
Data preprocessing, feature engineering, data transformation
Cross-functional collaboration on security data solutions

Conferences & Certifications

AfriClimate AI Certificate of Recognition

🏆 1st Place · AfriClimate AI · Deep Learning Indaba 2024

Certificate of Participation · Deep Learning Indaba 2025 · Kigali

🏆 Champion Data Science · TechWomen Factory CAYSTI · 2023

Certificate of Attendance · ACWES 2024 · Kigali, Rwanda

Attestation de Réussite · Traitement des données Niveau 1 · FORCE-N 2023

Research Projects

Computer Vision · Deep Learning

TrackIQ — Urban Traffic Surveillance & Detection

Real-time vehicle detection and classification, speed estimation, congestion analysis and traffic sign identification using Computer Vision.

Live App Repository

Computer Vision · PyTorch CNN

GeoClassifier — Intel Natural Scenes Classification

Multi-class image classification model for natural scenes (Buildings, Forest, Glacier, Mountain, Sea, Street) deployed as an interactive HuggingFace Space.

Live App Demo Video

Full Stack · Web Development

Vision Estates — Real Estate Management Platform

A real estate platform focused on verified listings with VR Gallery tours before users buy. Features catalogue browsing and immersive virtual property exploration.

GitHub Demo Video

Computer Vision · Deep Learning 🏆 Award · JCIA Hackathon 2025

SafouCheck — African Plum Quality Classifier

Supervised classification model to identify quality classes of African plums from images. Built with Deep Learning on a custom African plums dataset.

GitHub Demo Video

Deep Learning · Climate AI 🏆 1st Place · AfriClimate AI · Deep Learning Indaba 2024

Flood Prediction with LSTM — HYDROAS Project

LSTM-based flood forecasting model for the Ouémé basin in Benin. Processed 30+ years of hydrometeorological data, delivered a 7-day real-time prediction pipeline. Presented at Deep Learning Indaba 2024.

Research PDF

Optimization · Operations Research

Robust Optimization of Food Distribution Networks

Mathematical optimization model for food distribution logistics under uncertainty. Minimizes costs and maximizes reliability across supply chain networks in Senegal.

GitHub

Get In Touch

I'd love to hear from you.

If you have any inquiries, collaboration ideas, or just want to say hi feel free to reach out!

Hi, I'm Danielle Tsemo