Hello there,

I'm Ahmed Tijani

Software developer Bioinformatician Data science enthusiast

About

Let me introduce myself

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I am a dedicated Software developer currently pursuing a postgraduate in Bioinformatics. Skilled in using Python and also adept at adapting to evolving technologies and methods. A rapid learner, staying abreast of industry trends. A standout communicator and proven collaborator, consistently driving results through effective teamwork.

Profile

Following my completion of a Bachelor's degree in Microbiology, I embarked on a transformative journey through medical school, immersing myself in the intricacies of healthcare for a span of three years. However, my curiosity and passion were increasingly drawn towards the ever-evolving realm of technology. Hence, led me to delve deeper into the intersection of biology and computational science. Consequently, I opted to pursue a postgraduate program in Bioinformatics at the University of Potsdam, shifting my academic focus. This shift not only mirrored my changing career goals but also aligned with my passion for leveraging technology to innovate.

Skills

I have experience in developing responsive frontend interfaces using HTML, CSS, JavaScript, and React.js for various projects. During my courseworks, amongst various project using Python, I developed a versatile Parser app for FASTA and UNIPROT files containing biological sequences adaptable for both command-line and GUI environments. I also developed a Monte Carlo simulation using R.

Languages

  • English : Native speaker
  • German : B2

Projects

Contained in this carousel are some of my most recent projects

little-lemon

Little Lemon

During my specialization course with Meta as a Frontend Developer, I utilized a range of modern technologies, notably HTML, CSS, JavaScript, and ReactJS. One of my key assignments involved developing an application for a family-owned restaurant in the Mediterranean region. This application included functionalities such as table reservations and an interface for browsing through available dishes.

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uniprot-parser

UNIPROT Parser

A UniProt file, part of the Universal Protein Resource (UniProt) database, holds valuable biological sequence data essential for bioinformatics research and analysis. In my project, I developed a Parser software using Python and RegExp engineered to meticulously extract vital information such as GO, KEGG, and DOI numbers from each protein sequence within these files. The software boasts adaptability for both command-line and GUI use, with Tkinter employed for the graphical interface.

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Project 3

Monte Carlo Simulation

Monte Carlo simulation (MCS) is a versatile technique used to estimate outcomes of uncertain events, widely applicable in fields like ecology and infectious diseases. We employed this technique using R to model beetle population dynamics within a closed ecosystem experiencing seasonal changes driven by fluctuations in food availability and habitat. Our findings revealed significant oscillations akin to predator-prey relationships, primarily attributed to habitat loss-induced population declines.

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