π Currently pursuing a Master's degree in Bioinformatics at UniversitΓ© Paris CitΓ©.
π± Passionate about Machine Learning, Artificial Intelligence, and their applications in data science.
π Interested in developing efficient methods to process, analyze, and utilize data effectively.
β‘ Goal: To apply computational techniques to advance research and create impactful solutions in AI and analytics.
Here are some of the languages, frameworks, and tools I specialize in or currently learning:
- Programming Languages: Python π | R π | C/C++ π₯οΈ | Java β | JavaScript π | Bash/Shell π»
- Data Analytics: Pandas | Polars | NumPy | SQL π’οΈ
- Machine Learning Frameworks: TensorFlow π§ | PyTorch π₯ | Scikit-learn π
- Data Visualization: Matplotlib π | ggplot2
- Bioinformatics Tools: Pymol π¬ | Biopython 𧬠| Galaxy π°οΈ | BLAST π§ͺ | Clustal Omega π
- Web Development: HTML/CSS π | Shiny (R) π‘
- Others: Git/GitHub π± | LaTeX π
Internship: Automated Data Extraction and Analysis
Developed a pipeline to extract and analyze structural motifs using web scraping, API integration, and Biopython.
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Data Analysis in Crime Research
Developing an R Shiny application to analyze crime data trends, correlations, and insights. -
Deep Learning Models Exploring deep and shallow learning architectures applied to biological datasets for predictive analysis.
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Back-End and Database for a Musical Social Network
Designed a normalized relational database, optimized queries, and automated data generation. -
Smith-Waterman Algorithm
Implemented a local alignment algorithm to identify similarities in biological sequences.
Feel free to reach out if youβd like to discuss AI, data science, bioinformatics, or collaborate on exciting projects! π
π© Email: tahreem.abbasi@etu.u-paris.fr
πΌ LinkedIn: