Master's Student in Bioinformatics
Data Engineering & Data Science Enthusiast
Algiers, Algeria | abdeldjalil.lamara@etu.usthb.dz
I'm a master's student in Bioinformatics at USTHB with a strong interest in data engineering and applied data science.
I’ve built pipelines for cancer biomarker detection, developed clustering apps for biological data, and mentored students as a Section Leader in Stanford’s Code in Place.
Currently open to a 2–3 month internship to apply and grow my skills in real-world environments.
- Languages: Python, SQL
- Tools: Apache Spark, Docker, Git, Power BI
- Databases: PostgreSQL, Snowflake, MongoDB
- Bioinformatics: Genomic Analysis, Clustering Algorithms
- Cloud: Microsoft Azure, AWS (learning)
| Project | Description | Tech |
|---|---|---|
| Cancer Gene Expression Pipeline | High-throughput Spark pipeline using MongoDB & Power BI to detect cancer biomarkers from gene expression data. | Spark, MongoDB, Power BI, Docker |
| Interactive Clustering App | Python app with K-Means, DBSCAN, AGNES, and interactive Plotly visualizations for biological datasets. | Python, Plotly |
| Bank Market Cap ETL | Python ETL to extract market cap data from Wikipedia, convert currencies, and store in SQLite. | Python, SQLite, Pandas |
- Certified Data Engineer – DataCamp
- Certified Associate Data Engineer – DataCamp
- IBM Data Engineering Professional Certificate (In Progress)
- McKinsey Forward – Data-Driven Decision Making
- Aspire Leaders Program – Global Leadership Training
- LinkedIn: linkedin.com/in/abdeldjalil-lamara
- GitHub: github.com/iDev11
- Email: abdeldjalil.lamara@etu.usthb.dz
"Turning complex biological data into clear, actionable insights — one pipeline at a time."