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Data Science Guild Lead @ Augury
I’m a senior data scientist with a strong foundation in machine learning and a particular passion for time series and tabular data. Over the years, I’ve helped shape products from early concepts into impactful, real-world solutions — always with a focus on creating tangible value for people. I thrive in collaborative environments, and I believe the best ideas emerge when teams learn from one another. I believe strong, engaged teams are at the heart of great innovation, and I’ve enjoyed mentoring colleagues, leading cross-functional initiatives, and helping shape processes that enable people to do their best work. I’m especially drawn to initiatives that make a positive contribution to society, and I’m always eager to explore new ideas, share knowledge, and build systems that matter.
Technion - Israel Institute of Technology
Master of Science (M.Sc.), Machine Learning
January 1, 2012 – January 1, 2015
Massachusetts Institute of Technology
Summer Internship, Computer Vision
January 1, 2011 – January 1, 2011
Technion - Israel Institute of Technology
Bachelor of Science (B.Sc.), Electrical and Electronics Engineering
January 1, 2007 – January 1, 2011
Augury
Data Science Guild Lead
January 1, 2022 – Present
Augury
Data Science Team Lead
January 1, 2021 – January 1, 2022
Augury
Data Science Tech Lead
September 1, 2018 – January 1, 2021
Augury
Senior Data Scientist
September 1, 2015 – September 1, 2018
Technion - Israel Institute of Technology
T.A in Into to Software Systems
March 1, 2012 – September 1, 2014
Haifa, Israel
Rafael Advanced Defense Systems
Board & Logic Design Engineer
August 1, 2009 – March 1, 2012
Israel
Technion - Israel Institute of Technology
Youth Laboratory Instructor - Science-Seeking Youth Department
September 1, 2008 – August 1, 2009
Haifa, Israel
LegoLand
October 1, 2010 – March 1, 2011
Automatic conversion of 3D scanned models into LEGO objects by providing Lego bricks construction instructions
Sub-Nyquist Sampling Algorithm FPGA Implementation Optimization
March 1, 2010 – March 1, 2011
Optimizing a real-time signal processing algorithm, including highly-parallel calculations, run on 4 FPGAs, aimed at reducing resource use to 2 FPGAs
Cultural Fit Analysis
The candidate has a strong academic background and diverse project experience, including personal projects like 'LegoLand' and 'Sub-Nyquist Sampling Algorithm FPGA Implementation Optimization', which demonstrate initiative and a passion for problem-solving. Their career progression at Augury from Senior Data Scientist to Guild Lead shows commitment and growth within an organization. The breadth of skills from electrical engineering to advanced machine learning and LLMs indicates a continuous learning mindset. However, the target role is 'Data Analyst' while the candidate's experience is heavily skewed towards 'Data Scientist' and 'Data Science Lead' roles, which might indicate a potential mismatch in day-to-day responsibilities and expectations, as Data Analyst roles often focus more on reporting, dashboarding, and business intelligence rather than model development and deployment. While the analytical skills are transferable, the specific focus of the target role needs to be considered.
Soft Skills & Operational Fit
The candidate's experience as a Data Science Guild Lead and Team Lead suggests strong leadership, mentorship, and process standardization skills. Their role as a Tech Lead indicates a focus on technical initiatives, reducing technical debt, and onboarding, which are valuable for operational efficiency. The TA and instructor roles highlight communication and teaching abilities. However, specific details on collaboration styles or conflict resolution are not provided.