
Manahil User
@manahiluser3
I build Python-based data retrieval, cleaning, and reporting workflows for accurate data-driven decisions.
What I'm looking for
I've built Python-based workflows for bioinformatics data retrieval, cleaning, analysis, and visualization, including BioFetcher, a tool that automates protein sequence retrieval, BLAST analysis, sequence alignment, and phylogenetic tree construction.
As a Junior Artificial Intelligence Instructor at AI-EYS, I create datasets and coding notebooks and mentor students using Python, Jupyter Notebook, and Google Colab. My research experience in structural bioinformatics has strengthened my ability to interpret large, messy datasets accurately.
Experience
Work history, roles, and key accomplishments
Junior Artificial Intelligence Instructor
AI-Explain You Science (AI-EYS)
Jun 2024 - Present (2 years 3 months)
Assisted in planning and delivering AI-related sessions, workshops, and bootcamps. Designed learning materials and conducted practical lab sessions using Python, Jupyter Notebook, and Google Colab.
Intern, Computational Drug Design Lab
School of Interdisciplinary Engineering & Science (SINES), N
Jun 2024 - Sep 2024 (3 months)
Conducted molecular dynamics simulations to analyze structural stability and conformational changes of PKC inhibitors. Used homology modeling and molecular docking to predict inhibitor binding interactions.
Intern, Marketing and Resource Development
Shaukat Khanum Memorial Trust
Feb 2024 - Apr 2024 (2 months)
Assisted in marketing campaigns and fundraising initiatives.
Education
Degrees, certifications, and relevant coursework
NAVTTC
JavaScript & Full Stack Web Development (MEAN/MERN), Full Stack Web Development
2025 - 2025
Pursued JavaScript & Full Stack Web Development (MEAN/MERN) training from March to September 2025.
Quaid-i-Azam University
BS (Hons.), Bioinformatics
Grade: 3.5/4.0
Completed BS (Hons.) in Bioinformatics with a final grade of 3.5/4.0.
Punjab College for Girls
Intermediate, Pre-Medical
2018 - 2020
Grade: 91%
Completed Intermediate (Pre-Medical) with 91% marks.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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