I am Maede Maftouni, a Senior Data Scientist at Quantum-Si with a Ph.D. in Industrial Engineering from Virginia Tech. I have also earned a graduate certificate in Data Analytics from the Discovery Analytics Center at Virginia Tech. With expertise in data analytics, machine learning, and deep learning, I enjoy transforming complex data into actionable insights and interactive visualizations. I have applied these techniques across various domains including medical, manufacturing, and biochemistry projects. Skilled in Python, SQL, and tools like Apache Airflow, AWS, and Tableau, I am dedicated to driving innovation and efficiency in data-driven solutions.

During my Ph.D., I was a part of the Smart Manufacturing Analytics Research & Technology (SMART) Laboratory, working under the guidance of Dr. James Kong. My research revolved around achieving two primary objectives. Firstly, I introduced and executed an innovative approach for Covid-19 diagnosis. Secondly, I designed and implemented deep learning models for video object segmentation and tracking in the context of additive manufacturing.

I find great satisfaction in utilizing data analytics, machine learning, and deep learning methodologies to transform raw data into actionable insights, automated systems, and interactive visualizations, including executive dashboards. My experience spans a wide range of data types, encompassing time series data, text data, images, and videos, in both industrial and medical projects. My ultimate aim is to make significant contributions to high-impact projects as a dedicated data scientist.

News

[Sep. 2023] Promoted to Senior Data Scientist at Quantum-Si
[May. 2023] Defended my Ph.D. in Industrial and Systems Engineering (ISE) at Virginia Tech
[May. 2022] Joined Quantum-Si as a Data Scientist
[Apr. 2022] Held a Workshop on “Building Interactive Dashboards with Tableau” at VT INFORMS Student Chapter
[Nov. 2021] Held a Python Workshop on “US Real Estate Market Trends Visualization” at VT INFORMS Student Chapter
[Aug. 2021] Received Future Professoriate Certificate at Virginia Tech
[Apr. 2021] Held a Workshop on “Data Wrangling and Analysis in Python” at VT INFORMS Student Chapter
[Nov. 2020] Won the runner-up award in the 2020 INFORMS QSR Data Challenge on “CT Scan Diagnosis for COVID-19”
[Nov. 2020] Won the second place in the 2020 VT INFORMS student Chapter Poster Competition
[May 2020] Received Master of Science in Industrial and Systems Engineering (ISE) at Virginia Tech
[Dec. 2019] Received Graduate Certificate in Data Analytics at Virginia Tech
[March 2020] Passed the Ph.D. Preliminary Exam
[Nov. 2019] Presented at 2019 Informs Annual Meeting Seattle
[Sept. 2019] Joined the SMART Lab
[Sept. 2017] Awarded a Graduate Fellowship for the Ph.D. program at Virginia Tech