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Amir Behbehani is an experienced data scientist and technology leader. Amir has held various roles in companies such as Levo, Leaf Logistics, Orion, Medibio Limited, Q2, Metadata, Hurdl Inc., Zuli Inc., Invitation Homes, and Jobr.

At Levo, Amir is the Chief Technology Officer and Generative AI Leader. Their responsibilities include developing innovative solutions for healthcare workers to achieve their career goals. Amir has worked on projects such as LevoSearch, a natural language information retrieval system, and has expertise in data pipeline development and NLP.

As the Principal Data Scientist at Leaf Logistics, Amir helped optimize pricing and network efficiencies in the freight logistics industry. Amir employed machine learning techniques to analyze transportation data and forecast supply and demand variables with high accuracy. Their contributions led to a significant increase in company value.

During their tenure at Orion, Amir served as the Chief Technology Officer focusing on Natural Language Processing. Amir launched an auto-ETL platform and implemented an NLP-based ETL system for real-time data analysis. These innovations resulted in improved query creation times and reduced analysis time.

At Medibio Limited, Amir held the position of Chief Data Scientist and played a crucial role in developing an AI platform for clinical diagnosis using cardiac signals from wearable devices. Amir significantly improved Alzheimer's diagnosis accuracy and implemented data conversion tools to enhance model development speed.

As a Data Scientist at Q2, Amir spearheaded the launch of an AI-powered lending service that reduced the loan process time. Amir also integrated ML models to Salesforce, expanding the company's market reach.

Amir's work at Metadata as a Data Scientist in Marketing Science involved developing an AI-assisted targeting system. This system resulted in a 10x return on ad spend and generated potential revenue for the company. Amir leveraged machine learning algorithms and integrated the system with Salesforce CRM.

At Hurdl Inc., Amir served as the Chief Data Scientist and Platform Engineer. Amir launched a product offering that led to significant funding. Amir also developed a cross-label music recommendation engine that improved user engagement across different music labels.

During their time at Zuli Inc., Amir served as the Founding Data Scientist and worked on a successful home automation system. Amir designed accurate presence detection systems and prototyped machine learning code for the Zuli iPhone app.

At Invitation Homes, Amir worked as a Data Scientist and focused on portfolio optimization. Amir developed an automated valuation system using deep learning models to estimate property values for portfolio acquisition.

Amir's role as the Principal Data Scientist in Recruitment Analytics at Jobr involved developing a unique matching algorithm, which led to the company's successful sale to Monster.com.

Overall, Amir Behbehani has a diverse and impactful work experience, showcasing strong skills in data science, AI, machine learning, NLP, and software development.

Amir Behbehani has a Bachelor's degree in Mathematics from Stanford University. In addition to their degree, they obtained a certification in SAS Certified Predictive Modeler Using SAS Enterprise Miner 14 from SAS in 2005. Amir also holds a certification in PowerCenter from Informatica. The specific month of obtaining the certifications is not provided.