31
נקבה
רווקה
****
מלאה
מיידי
תואר ראשון
עברית
אנגלית
רוסית
רכב פרטי – רישיון ב'
רכב פרטי
2015 – 2021 בוגרת תואר ראשון, .Sc.B ,בתוכנית משולבת של הנדסת חומרים וכימיה.
אוניברסיטת תל אביב
2010 – 2013 השכלה תיכונית, תיכון אזורי 'דרכא' גדרה:
בגרות מלאה, 5 יח"ל במקצועות: אנגלית, כימיה ומתמטיקה.
השכלה
2022
Big data
דיפלומה
Big data
data science
שירות צבאי
2014 - 2016
פיקוד העורף, סיום שירות בתקופת מבחנים סמסטר א של התואר (סמסטר ראשון התחיל במקביל לשירות הצבאי)
ניסיון תעסוקתי
2024 - 2025
r&d engineer2023 - 2022
R&D Engineer | Vocai | On-chip multi-sensing for battery health analytics | Feb 2024 – Jun 2025
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Led the design, build, and operation of a full experimental platform for semiconductor multi-sensors, from mechanical and environmental infrastructure to automated electrical test execution.
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Planned and executed systematic experiment programs to characterize sensor behavior under controlled environmental conditions, including PPB-level dilution, calibration, and multi-phase measurement protocols.
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Developed functional thin-film coatings and process flows to enhance sensor selectivity and stability, translating surface chemistry research into measurable device performance.
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Performed multidisciplinary system integration across mechanical assemblies, flow-control subsystems, probe stations, and electrical measurement setups.
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Designed automated test sequences enabling long-duration experiments without manual intervention, improving repeatability and data reliability.
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Conducted real-time troubleshooting and root-cause analysis of system and sensor behavior during experimental campaigns.
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Analyzed large experimental datasets using Python and SQL to evaluate performance trends, drift, and failure modes, and guided follow-up experiment design.
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Used microscopy and inspection tools to validate device behavior and support experimental performance evaluation.
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Collaborated with cross-functional R&D teams and external semiconductor partners on process robustness and scale-up toward production.
Data Analyst | Madlan | data and analytics company | Nov 2022 – Sep 2023
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Built end-to-end analytical pipelines using SQL, BigQuery and Python to query, clean, and validate heterogeneous datasets, resolving missing data, duplications, and structural inconsistencies.
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Analyzed large-scale, multi-dimensional datasets to identify behavioral trends, performance patterns, and time-based dynamics.
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Modeled and segmented complex datasets to enable multi-dimensional comparisons and structured analytical exploration.
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Developed decision-support dashboards in Power BI to monitor KPIs and translate raw data into actionable metrics.
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Translated ambiguous business questions into structured, hypothesis-driven analytical investigations, delivering data-backed insights.
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Collaborated with non-technical stakeholders to communicate analytical findings, data limitations, and trade-offs to support informed decision-making.