Furkan Duyme

Dedicated Biological Sciences student specializing in bioinformatics, with hands-on experience in laboratory techniques and microbial research. Proficient in data analysis using R, demonstrating a strong ability to apply computational tools to biological datasets. Proven track record of leveraging bioinformatics to uncover insights into microbial ecosystems and contribute to environmental research initiatives. Passionate about advancing the field through innovative research and practical applications.

• Optimized Department Efficiency – Improved stock management, leading to a 10% increase in operational efficiency within the department.
• Enhanced Customer Satisfaction – Provided personalized customer service, leading to a 20% increase in positive customer interactions and feedback.
• Reduced Waste & Improved Freshness – Implemented more efficient stocking processes, reducing food waste by 15% while ensuring product quality.
• Improved Workplace Safety & Efficiency – Operated pallet jacks and heavy lifting equipment, increasing transportation efficiency of heavy items by 30%.
• Demonstrated Leadership & Teamwork – Assisted multiple departments during peak hours, ensuring smooth store operations and collaborating effectively with team members.
• Developed Strong Time Management Skills – Balanced work responsibilities while pursuing a demanding academic schedule at the University of Calgary
• Completed a BIOL 243 Research Project – Investigated the mutagenic effects of coffee on Enterobacter aerogenes, designed and executed experiments, and analyzed data using R for statistical analysis.
• Developed Proficiency in R for Biological Statistics – Applied statistical modeling, hypothesis testing, and data analysis through BIOL 315 (Biological & Environmental Statistics).
• Gained Hands-On Laboratory Experience – Conducted microbial culturing, biochemical assays, genetic analysis, and sterile techniques in various biology courses.
• Presented Scientific Research – Created and delivered poster presentations based on experimental findings, improving science communication skills.
• Learned Bioinformatics Applications – Applied computational approaches to analyze biological datasets, gaining experience with data processing and statistical analysis.
• Strengthened Problem-Solving & Critical Thinking – Designed experiments, interpreted biological data, and troubleshot issues in research settings.
• Demonstrated Strong Teamwork & Collaboration – Worked effectively with peers on research projects, sharing ideas and problem-solving together.
• Balanced Academic & Professional Development – Managed coursework while actively engaging in scientific research and lab-based projects.