I am a dedicated professional with a B.Sc. in Industrial Engineering and a strong passion for data analysis and data science. My journey in this field has led me to develop a real-time AI solution for hearing enhancement, where I took on the role of founder and led the project from conception to implementation. I have a solid foundation in Python and signal processing techniques, which I utilized to create audio classification models. My experience also includes managing product requirements and coordinating cross-functional teams to ensure successful project delivery.
In my previous role as a BI & Data Analyst at Miebach Consulting Group, I transformed operational challenges into predictive and optimization models for global supply chain clients. My work resulted in significant improvements in delivery speed and reductions in logistics costs. I am skilled in applying statistical methods and building automated dashboards that provide real-time business insights, which I regularly presented to senior stakeholders.
I hold a Data Science Certificate from Bar Ilan University and a B.Sc. in Industrial & Management Engineering from Afeka College. My education has equipped me with the necessary skills to excel in data analysis, machine learning, and data visualization. I am proficient in various tools and programming languages, including SQL, Power BI, and Tableau, which I leverage to analyze and visualize data effectively.
I am also passionate about mentoring and advocacy, having volunteered as a speaker and advocate for Tikkun Olam Adi Negev and as a youth mentor with Neorim & Perach. I believe in the power of community and strive to make a positive impact through my work and volunteer efforts.
Fluent in English, Hebrew, and Arabic, I am well-equipped to collaborate with diverse teams and communicate complex data insights clearly. I am excited about the opportunities ahead and look forward to contributing my skills to innovative projects in the data science field.
Led the development of a real-time AI solution for hearing enhancement in noisy environments. Designed and implemented audio classification models to detect and differentiate between speech, noise, music, whispering, and barking using Python and signal processing techniques. Defined product requirements, managed MVP development, and coordinated work across hardware, software, and AI.
Data-driven projects for global supply chain clients, transforming operational challenges into predictive and optimization models using Python and SQL. Developed models for demand forecasting, inventory optimization, and process efficiency, leading to a 30% improvement in delivery speed and a 15% reduction in logistics costs.
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