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Data Scientist and ML Engineer with lead-level experience designing and owning production ML systems across anomaly detection, behavioral event analytics, document intelligence, and compliance monitoring — built on fleet-scale GPS, sensor, time-series, and transactional data. Comfortable owning every layer: data ingestion and modeling, feature engineering, model development, pipeline infrastructure, deployment, and production monitoring. Expert SQL across BigQuery and Snowflake. Full Python ML stack. Consistent track record of translating model outputs into clear, decision-ready insights for senior stakeholders.…Data Scientist and ML Engineer with lead-level experience designing and owning production ML systems across anomaly detection, behavioral event analytics, document intelligence, and compliance monitoring — built on fleet-scale GPS, sensor, time-series, and transactional data. Comfortable owning every layer: data ingestion and modeling, feature engineering, model development, pipeline infrastructure, deployment, and production monitoring. Expert SQL across BigQuery and Snowflake. Full Python ML stack. Consistent track record of translating model outputs into clear, decision-ready insights for senior stakeholders.

JHANVI ARORA

Data Scientist, AI Engineer, Data Analyst, +2

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Data Scientist and ML Engineer with lead-level experience designing and owning production ML systems across anomaly detection, behavioral event analytics, document intelligence, and compliance monitoring — built on fleet-scale GPS, sensor, time-series, and transactional data. Comfortable owning every layer: data ingestion and modeling, feature engineering, model development, pipeline infrastructure, deployment, and production monitoring. Expert SQL across BigQuery and Snowflake. Full Python ML stack. Consistent track record of translating model outputs into clear, decision-ready insights for senior stakeholders.…Data Scientist and ML Engineer with lead-level experience designing and owning production ML systems across anomaly detection, behavioral event analytics, document intelligence, and compliance monitoring — built on fleet-scale GPS, sensor, time-series, and transactional data. Comfortable owning every layer: data ingestion and modeling, feature engineering, model development, pipeline infrastructure, deployment, and production monitoring. Expert SQL across BigQuery and Snowflake. Full Python ML stack. Consistent track record of translating model outputs into clear, decision-ready insights for senior stakeholders.

Available to hire

Data Scientist and ML Engineer with lead-level experience designing and owning production ML systems across anomaly detection, behavioral event analytics, document intelligence, and compliance monitoring — built on fleet-scale GPS, sensor, time-series, and transactional data. Comfortable owning every layer: data ingestion and modeling, feature engineering, model development, pipeline infrastructure, deployment, and production monitoring. Expert SQL across BigQuery and Snowflake. Full Python ML stack. Consistent track record of translating model outputs into clear, decision-ready insights for senior stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Lead Data Science Engineer | Data Scientist at Pearl Technologies (Charger Logistics)

December 1, 2023 - February 1, 2026

Led the full ML product lifecycle across ML, LLM, and data engineering systems supporting logistics, billing, compliance, and document intelligence. Built an agentic POD pipeline for ingestion, classification, semantic matching, and exception handling, reducing manual billing reviews and shortening billing cycle times. Engineered a fuel anomaly detection system on sparse, multi-source time-series data across thousands of trucks to identify fraud and risk before incidents impact revenue. Developed domain-specific RAG pipelines over unstructured documents to generate structured, audit-ready outputs for regulated settings. Designed and deployed a trip and event intelligence system reconciling GPS, telematics, and planning data to produce compliant records for downstream platforms. Implemented temperature compliance monitoring across shipment sensor streams to automate deviation alerts for cold-chain operations. Architected streaming and batch pipelines with BigQuery, RisingWave, Kafka, Mo

Machine Learning Engineer at VAMRR

September 1, 2020 - December 1, 2020

Designed and deployed a production NLU health assistant using RASA and BERT, integrating Google Cloud speech APIs for voice-enabled interaction. Built automated reporting pipelines and Tableau dashboards delivering real-time operational insights across engineering and product teams in an Agile environment.

AI Research & Development at Lawnics

August 1, 2020 - September 1, 2020

Co-authored and presented 'Artificial Intelligence as a Legal Research Assistant' at the 12th Forum for Information Retrieval; developed NLP-based domain-specific document retrieval and statute mapping systems.

Conversational AI Developer at Fusion Informatics

June 1, 2019 - August 1, 2019

Built and deployed conversational AI agents using RASA, Botpress, and Dialogflow; established CI/CD pipelines and curated large-scale NLP training datasets through iterative Agile delivery cycles.