À propos de Jatin
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Bilingue ou natif
Expériences
- DataDogSoftware Engineeraoût 2025 - décembre 2025 (4 mois)Paris, France• ● Improved the reliability of the Datadog Agent on Kubernetes by fixing Admission Controller issues, including configurable UDS socket paths, safer handling of missing parent resources, and resolving leader-election race conditions to ensure consistent pod behavior.• ● Led performance and scalability improvements in Kubernetes metadata discovery by redesigning the resource cache, reducing API server load, migrating label-as-tags to ConfigMaps to lower etcd pressure, and cleaning up legacy Tagger abstractions.• ● Built practical debugging and validation tools for developers by adding workloadfilter and verify-cel CLI commands, making it easier to inspect active CEL filters, validate rules locally, and troubleshoot Unified Workload Filtering behavior.• ● Improved code quality and test coverage across multiple Datadog Agent components by writing reusable test utilities, adding unit and end-to-end tests for Kubernetes workloads, introducing typed workload metadata sources, and contributing to documentation and PR reviews.
- ValeoIndustrial Data Analystjanvier 2025 - juin 2025 (5 mois)Paris, France• ● Developed an advanced sampling strategy using capability analysis to evaluate production batches for TCU devices, enabling robust quality assurance and optimized testing resource allocation• ● Built an automated Python pipeline to clean, transform, and analyze thousands of rows of real‑time data with distribution analysis, integrated with Minitab for statistical analysis and risk calculations to drive a dynamic sampling strategy based on historical performance
- ShippeoData Analytics Engineer Internjuillet 2024 - décembre 2024 (5 mois)Paris, France• ● Developed an internal Tableau dashboard for road and rail to analyze lead time and estimated time of arrival (ETA), resulting in a 10% reduction in delays• ● Created an end-to-end data pipeline using DBT to streamline data processing and improve data accuracy for real-time analytics of lead time and estimated time of arrival (ETA), reducing data latency by 30%, and scheduled jobs in Airflow for automated data workflows• ● Analyzed 480k transport orders from 600 carriers and built machine learning models (Random Forest, XGBoost) to predict delivery times, significantly enhancing supply chain efficiency
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Formations
- Masters in Data Science & Business AnalyticsESSEC Business School and CentraleSupelec2024Masters in Data Science & Business Analytics
- Bachelor in Technology inDelhi Technological University2021Bachelor in Technology in