Data Analyst | BI · Research · Applied Analytics
Research & Applied Analytics
Evidence-based analytics at the intersection of road safety, public data and BI
This page presents research outputs, publications and applied analytical work developed in collaboration with the ANYWAY project (Data for Change NGO) and the Holon Institute of Technology.
The research focuses on micromobility safety in Tel Aviv, combining longitudinal crash data analysis, multi-source integration, and BI tools designed to support evidence-based decision-making by municipal authorities.
Conference Paper · ISTRC 2026
From Data to Safer E-Scooter Rides: An Open Safety Dashboard for Tel Aviv
Garmash N., Sher M.
Israeli Symposium on Transportation Research and Computing (ISTRC)
Technion — Israel Institute of Technology, January 2026
Affiliation: ANYWAY / Data for Change NGO · Holon Institute of Technology
This paper presents a BI system developed for the Tel Aviv municipality, integrating 12.5 years of national crash data with GIS, rider surveys and enforcement records.
Core contribution: a systematic analytical framework examining crash volume and severity as two independent dimensions simultaneously — across time, location, demographics and road conditions. This reveals contrasting patterns invisible to single-indicator analysis.
The dashboard was demonstrated to Tel Aviv municipality representatives and presented at the Technion ISTRC conference.
Journal Paper · In Preparation
E-Scooter Safety in Tel Aviv: Longitudinal Analysis of Crash Patterns, Risk Factors
and Policy Implications
Garmash N., Sher M. (working title)
Safety Science (Elsevier) · CiteScore 12.8 Special Issue: "Interdisciplinary Approaches to Electric Micromobility Safety" Submission deadline: 30 June 2026
Status: manuscript in preparation
Full journal paper based on the longitudinal BI research project. Extends the conference paper with complete statistical analysis, pre/post helmet law evaluation, solo crash underreporting study, and passenger risk findings.
Research Report · 2026
E-Scooter Solo Crash Underreporting in Tel Aviv
Analysis of the gap between official police records, CBS crash database and municipal rider survey data.
Key finding: official statistics capture approximately 5% of real solo crash events — a 15–24× underreporting factor with major policy implications.
Research Report · 2026
Impact of Israel's 2021 Helmet Law on E-Scooter Safety in Tel Aviv
Pre/post analysis using three independent data sources: CBS crash data, municipal rider survey, and enforcement fine records.
Key findings: helmet compliance rose from ~52% to ~70% after legislation; passenger protection remains critically low despite the law.
Group Research Publication · Medium / Hamoye, 2024
Using Generative AI to Forecast Electricity Demand and Supply Gaps:
Sub-Saharan Africa vs. Other Regions
Hamoye Data Science Internship (HDSC Spring 2024) — BigGAN Capstone Group
Published on Medium · Hamoye HQ
My contribution: designed the core metric framework to quantify the demand–supply gap as a measurable target variable for predictive modeling — a foundational methodological decision for the whole project.
Also contributed to analysis, Tableau visualization and paper editing.
RESEARCH CONTEXT
All micromobility safety research is conducted within the ANYWAY project, an initiative of Data for Change — an NGO using data analytics to improve road safety in Israel.
Institutional affiliation:
Research Assistant · Holon Institute of Technology (HIT)
Faculty of Industrial Engineering and Technology Management
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The BI system was presented to Tel Aviv municipality representatives as a decision-support tool for road safety planning.