Farhad Farahani
About Farhad Farahani
Farhad Farahani is a Sales Representative at TELUS and a Machine Learning Engineer at Omdena in Toronto, Ontario, Canada. He holds an EMBA and a BS in Software Engineering, with experience in data science, business analysis, and sales.
Current Roles and Experience
Farhad Farahani holds multiple roles in Toronto, Ontario, Canada, including positions at Omdena and TELUS. At Omdena, he serves as a Machine Learning Engineer, collaborating with a global team on impactful real-world projects. Additionally, he is a Sales Representative at TELUS, drawing on his extensive background in sales and business analysis.
Previous Professional Experience
Farhad Farahani has accumulated a diverse range of experience across different industries and roles. He worked as a Data Science Fellow at General Assembly in 2023, and as a Business Analyst at Tolue from 2016 to 2022. Prior to that, he was a Sales Representative at Nikran Lastik from 2014 to 2016. His earlier career includes a substantial tenure in business analytics and sales, providing a strong foundation for his current technical roles.
Educational Background
Farhad Farahani's educational accomplishments include a diverse array of certifications and degrees. He holds an Executive Master of Business Administration (EMBA) and a Bachelor of Science in Software Engineering from Azad University (IAU). Additionally, he has earned certificates in Data Science and Data Analytics from General Assembly. His education has equipped him with strong skills in both business management and technical fields.
Notable Projects and Achievements
Farhad Farahani has actively contributed to several notable projects. At Omdena, he developed a context-aware chatbot for Canadian immigration applicants, using the Rasa Open Source Framework, Docker, and Okteto. He also scraped and preprocessed over 3,600 immigration-related contents for the SmartGuide project. Significantly, he achieved 0.99 accuracy in classifying biased language in job descriptions using BERT and replaced biased terms with neutral ones using Happy Transformer for the EquiJob project.
Skills and Technical Proficiencies
Farhad Farahani is proficient in Natural Language Processing (NLP) and Deep Learning. He is skilled in various technologies and tools, including Python, SQL, and Tableau. His broad technical skillset allows him to undertake complex projects and deliver effective solutions in his roles as a Machine Learning Engineer and Data Scientist.