Malt welcome

Welcome to Faraz's freelance profile!

Malt gives you access to the best freelancers for your projects. Contact Faraz to discuss your project or search for other freelancer profiles on Malt.

Faraz Esfahani

Data Analysist (Mechanical Engineer)
  • Suggested rate
    On-demand
  • Experience0-2 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept Faraz's quote.
Location and workplace preferences
Location
Toronto, ON, Canada
Can work onsite in your office in
  • and around Toronto (up to 50km)
Verifications

Freelancer code of conduct signed

Read the Malt code of conduct
Verified email
Languages
Categories
These freelancer profiles also match your search criteria
Agatha FrydrychAF

Agatha Frydrych

Backend Java Software Engineer

Baptiste DuhenBD

Baptiste Duhen

Fullstack developer

Amed HamouAH

Amed Hamou

Senior Lead Developer

Audrey ChampionAC

Audrey Champion

Web developer

Skill set (12)
Faraz in a few words
My name is Faraz. I'm a mechanical engineer working on drug discovery as my master's thesis. I'm studying super-resolution algorithms using CNNs and GANs for resolution enhancement. Also classification algorithms for drug discovery purposes.
Experience
  • York University
    Graduate Research And Teaching Assistant
    September 2021 - Today (3 years and 5 months)
    Toronto, ON, Canada
    Teaching Assistant :
    • Fluid dynamics
    • Renaissance Engineer 2: Engineering Design Principles
    • Thermofluid Laboratory
  • Ferdowsi University of Mashhad
    Undergraduate Research Assistant
    January 2016 - September 2019 (3 years and 8 months)
    Mashhad, Razavi Khorasan Province, Iran
    Established laboratory instrumentation to study steam generation performance of different samples and zinc oxide (ZnO) nanoparticles in solar vapour generation. Supported two research projects by conducting experiments, extracting raw data, analyzing data, and drawing conclusions. Successfully completed both research studies yielding concrete results leading to two publications.
    • ZnO on mulberry wood (ZnO-wood) improved evaporation efficiency by 17% and 39% compared to ZnO nanofluid and water.
    • Increased the evaporative efficiency from 47% to 58% in the superficial approach and from 37% to 40% in the volumetric approach.
    • Completed cost analysis illustrating ZnO-Wood nanoparticles are more cost-effective compared to other nanoparticles.
Recommendations
Education
  • Master of Science
    York University
    2021
    Master of Science - MS, Mechanical Engineering
  • Bachelor of Engineering in Mechanical Engineering
    Ferdowsi University of Mashhad
    2019
    Bachelor's degree, Mechanical Engineering