31/08/2023
Hello everyone!
I'm Leah Borovoi, and I'd love to share my transition from the intricate realm of research psychology to the dynamic world of data science through Y-DATA.
๐ฆ Background ๐ฆ
Before diving into the world of Data Science, I worked as a research psychologist, successfully completing both my doctorate and postdoctoral studies. During my research, I realized that the most valuable insights were hidden beyond simple tables that Excel and SPSS could handle. To access this information, I needed advanced data analysis methods. This drove me to join the Data Science Program at Y-DATA. I believed that this program would equip me with the tools to conduct richer research and deeply understand various phenomena.
๐ฆ Why Y-DATA ๐ฆ
My choice to study at Y-DATA was influenced by its impressive curriculum and esteemed faculty. I knew some of the instructors from professional conferences and held their work in high regard.
The educational program wasn't just about theoretical knowledge; it emphasized real-world projects at the forefront of technological advancement. The program organizers matched me with an ideal mentorship and industry project. Together with two professors from Boston, we developed an R library focused on fintech.
Regarding the curriculum, the section on data analysis, various regression models, and cluster analysis made a profound impression on me. While I previously knew only three regression models, I now know ten. I also delved into the realm of neural networks, learning not just the basics of CNNs but also other network types and their applications. Training in deep learning and reinforcement learning was particularly invaluable, given the current trends in artificial intelligence. My professional analytical arsenal expanded significantly.
๐ฆ Post-Y-DATA ๐ฆ
With the knowledge that I gained in Y-Data, I ventured into Hebrew University, teaching computers. Concurrently, I embraced a position as a researcher and data scientist at Sheba Hospital. My initial focus at Sheba revolved around sarcoidosis. However, my interests soon expanded to diabetes and its complications, particularly the diabetic foot. At present, my team and I are delving into 25 years of data, hoping our analysis will pave the way to effectively prevent the onset of diabetic foot and mitigate other diabetic-related complications.
I also volunteer in "Code for Israel". Last year, our team developed an AI solution to identify potential waste disposal violations by trucks using road cameras, aiming to promptly notify inspectors. This year, we're undertaking a new project that uses data for good, social purposes โ developing a system to optimize patient movements within hospitals for timely, precise treatments.
๐ฆ Beyond Professional Endeavors ๐ฆ
My time at Y-DATA transcended academic and professional growth. I found a community. Fellow Y-DATA students and I continue to uplift each other. Be it professional guidance, innovative algorithm suggestions, or conference invitations, our bonds thrive on mutual respect and shared love for research and data.
If the program has caught your interest, you're welcome to become a part of it. You can apply for it on our website https://ydata.co.il/.
