Data science
Data preparation, prediction, causal inference and critical evaluation.
Pandas · Scikit-learn · Statsmodels
Armel Hugo Tekeng / Trois-Rivières, QC
Data science.
Understand. Model. Inform.
Data analysis · Machine learning · Applied AI
A UQTR Computer Science graduate with a concentration in Data Science, I combine applied mathematics, data analysis and machine learning to inform decisions.
2026 UQTR graduate · Open to junior opportunities
In production · Lucatex SARL
A management system a company relies on every day.
Designed and developed for Lucatex SARL, this application centralizes the company’s operations: money transfers, employees, financial modules, daily reports and archiving.
- Money transfers with limit controls and monthly archiving
- Daily reports, cash transfers, loans and bonuses
- Role-based dashboards and permissions
- Accounting day lock and secure archiving
Java · Spring Boot · PostgreSQL · Thymeleaf — private code (production system)
Used dailySelected work
From a problem to a working solution.
01University project — Completed
EEG and eye state
Eye-state classification from EEG signals and causal analysis, with chronological evaluation.
Python / Pandas / Scikit-learn / PyTorch
02University project — Completed
Causal Inference — Smoking and Sleep Quality
Smoking and sleep study using 297,584 analyzed observations and Double Machine Learning.
Python / Scikit-learn / Statsmodels / Pandas
03Academic project — Data & Machine Learning
Depression Project
Flask/MongoDB application, semantic search and analyses of 19,999 records.
Python / Flask / Pandas / Scikit-learn
04Working prototype — In development
EcomOS AI
E-commerce decision support: scoring, explainable recommendations, PDF reports.
Python / Pandas / Streamlit / ReportLab
What drives my work
Data science at the heart of my work.
I am particularly interested in machine learning, deep learning and semantic search. I connect these interests to concrete projects, with attention to data quality and evaluation.
Applied AI
Learning from data, semantic search and transparent communication of limitations.
Transformers · MiniLM · Model evaluation
Software
Business applications, data models and web development.
Java · Spring Boot · Python · SQL
Two complementary degrees
Mathematical foundations for data science.
Applied mathematics degree at Dschang (2023), followed by a bachelor’s in Computer Science, concentration in Data Science, at UQTR (2026).
Explore my academic journey →Dschang · 2023UQTR · 2026From foundations to applied projects
Freelance services
A project to move forward?
I help businesses and project owners develop useful tools, analyze their data and automate recurring tasks.
01
Data analysis & dashboards
You have data and want to better understand your sales, operations or performance indicators.
02Machine learning prototypes
You want to explore whether your data can support a predictive task or semantic search.
03Automation & reporting
You repeatedly manipulate files or prepare the same reports.
04Web applications & backend
You want to centralize operations or build a tool tailored to your business.
Continuous learning
Certifications I am preparing for
A learning plan spanning software, BI and applied AI. These credentials have not yet been earned; no exam date is announced.
01Preparation objective
Microsoft · PL-300
Power BI Data Analyst Associate
Data modeling, DAX and visual reporting.
Official program02Preparation objective
Oracle
Java
Deepening knowledge of APIs and language rules. Exam version to be selected.
Official program03Preparation objective
Databricks
Machine Learning Associate
Hands-on Databricks, experiment tracking and MLflow.
Official program04Preparation objective
AWS
Developer – Associate
Developing, deploying and operating cloud applications.
Official programMy next step
Contribute to your team.
My priority is a junior role in data science, modeling or data/BI analysis. My software development skills complement this focus by helping me build usable solutions.