π MSc Big Data Analytics Candidate π‘ Turning data into actionable insights | Building scalable & secure systems
Iβm a data-focused engineer with a background in network operations and cloud infrastructure, currently advancing my expertise in Big Data Analytics. I enjoy working at the intersection of data engineering, analytics, and cloud systems, building solutions that are both efficient and reliable.
- Passionate about data-driven decision making
- Interested in Data Engineering, MLOps & Cloud Architecture
- Focused on solving real-world challenges in Africa (Agri-food, Supply Chain, Fintech)
- Strong foundation in systems, networking, and performance monitoring
- Python (Pandas, NumPy, Matplotlib, Seaborn)
- R Programming
- SQL (PostgreSQL, Data Modeling)
- Excel (Data Analysis & Reporting)
- AWS (Cloud Practitioner, Solutions Architecture)
- Linux (System Monitoring & Optimization)
- Networking (Configuration, Security, Administration)
- Cybersecurity Fundamentals (Google Certified)
- Network Security & System Reliability
- π¦ Building end-to-end data projects (ETL β Modeling β Visualization)
- πΎ Developing a Predictive Analytics Framework for Agri-Food Supply Chains (Rwanda)
- β‘ Exploring Data Engineering pipelines & scalable architectures
- Spotify Streaming Analysis β Data cleaning, EDA & visualization
- Netflix User Activity Analysis β Feature engineering & behavioral insights
- Flood Prediction System (Rwanda) β ML + satellite data for real-time forecasting
- Butchery Management System (Django) β POS, inventory & analytics
- Fintech Transactions Analytics Project β End-to-end analysis of transaction data (ETL, fraud patterns, KPIs, dashboarding)
- Unmapped Project (Skill Mapping AI) β AI-driven platform to analyze user profiles and recommend personalized career/skill paths
π More projects in my repositories
- π Bilingual: English & French
- β½ Football, Hiking & π Running enthusiast
- π€ Collaborative, analytical, and problem-solving mindset
- πΌ LinkedIn
- βοΈ thierrydonambi@gmail.com
Open to internships and junior roles in Data Engineering, Analytics, and Cloud.