Sana Arastehfar

Machine Learning Engineer - University of Alberta, Darkhorse Analytics

2024 till present

• This mitacs project is on the Residential Fire Prediction project under supervision of Nooshin Salari in collaboration with Darkhorse Analytics. We are developing and deploying machine learning models to predict residential fire risks across Chicago, using tools such as SQL, Python, and PyTorch. W conducted comprehensive time-series analysis and forecasting to identify high-risk areas, enabling proactive fire prevention strategies and effective resource allocation. Additionally, we created user-friendly dashboards using Streamlit, which facilitated data-driven decision-making. Throughout the project, we presented findings and insights to stakeholders and external partners, effectively communicating complex technical concepts to non-technical audiences.

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Summer Geometry Initiative Research Fellow - Massachusetts Institute of Technology(MIT)

2023

• This research program is directed by Justin Solomon, during which we gained research experiences related to applied geometry and geometry processing. My participated projects are as follows: "Tangible NeRFs: Geometry-guided NeRF Exploration Under supervision of "Ilke Demir", Intrinsic Mollification under supervision of "Keenan Crane", and Probing Learned Quasimetric Representation for Control under supervision of "Tongzhou Wang". GitHub

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Machine Learning Engineer -  Hermes Capital Tehran (Startup)

2020 till 2022

• Developing Machine Learning based algorithms to forecast the short time return values of the stock in Iran stock market. The project was conducted using Python and different learning based and statistical methods were devoloped in PyTorch. We presented complex data insights and model outcomes to stakeholders through clear and compelling presentations, facilitating informed investment decisions. In collaboration with data scientists, analysts, and financial experts, we helped integrate machine learning solutions into trading strategies. The project was successful in the sense of long term profit making. 

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Co-founder and COO -  Zist Abzar Pars Engineers (Signals Origin Startup)

2015 till 2020

• Production of bio signals recording devices such as Electromyography (EMG), Electrocardiography (ECG), Ambulatory ECG, SnapECG. Co-founded and managed operations of a biomedical startup specializing in the production of bio signal recording devices, overseeing all aspects from product development to market launch. Led a team of engineers in designing high-quality biomedical devices, ensuring compliance with industry standards and regulatory requirements. Managed financial planning, budgeting, and fundraising efforts. By fostering a culture of innovation and continuous improvement, we drove the development of cutting-edge biomedical technologies, which ultimately led to the creation of SnapECG, expanding the company’s product portfolio.​

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UI/UX Developer - Sharif University of Technology Accelerator (Tamin Online Startup)

2017

• Designed and developed a B2B e-commerce website for selling industrial equipment using HTML, CSS, AngularJS, and UX/UI best practices to create intuitive and responsive web interfaces, ensuring seamless navigation and accessibility across various devices. Collaborated with product managers and stakeholders to gather requirements and translate business needs into functional and aesthetically pleasing web designs. Conducted user research and usability testing to identify areas for improvement, implementing iterative design changes to enhance the site's functionality.

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