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I am a Data Scientist with 4+ years of experience building end-to-end machine learning pipelines, statistical models, and cloud-native data infrastructure across e-commerce, manufacturing, and enterprise software domains. I translate complex data into measurable business outcomes, including a $1.2M annualized revenue impact, an 8% improvement in order fulfillment speed, and a 50% reduction in manual interventions. I have hands-on experience with A/B testing, causal inference, NLP, and MLOps, and I enjoy collaborating with cross-functional teams to turn data into action.…I am a Data Scientist with 4+ years of experience building end-to-end machine learning pipelines, statistical models, and cloud-native data infrastructure across e-commerce, manufacturing, and enterprise software domains. I translate complex data into measurable business outcomes, including a $1.2M annualized revenue impact, an 8% improvement in order fulfillment speed, and a 50% reduction in manual interventions. I have hands-on experience with A/B testing, causal inference, NLP, and MLOps, and I enjoy collaborating with cross-functional teams to turn data into action.

MITALI CHOUTHAI

Data Scientist, AI Engineer, AI Developer, +2

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I am a Data Scientist with 4+ years of experience building end-to-end machine learning pipelines, statistical models, and cloud-native data infrastructure across e-commerce, manufacturing, and enterprise software domains. I translate complex data into measurable business outcomes, including a $1.2M annualized revenue impact, an 8% improvement in order fulfillment speed, and a 50% reduction in manual interventions. I have hands-on experience with A/B testing, causal inference, NLP, and MLOps, and I enjoy collaborating with cross-functional teams to turn data into action.…I am a Data Scientist with 4+ years of experience building end-to-end machine learning pipelines, statistical models, and cloud-native data infrastructure across e-commerce, manufacturing, and enterprise software domains. I translate complex data into measurable business outcomes, including a $1.2M annualized revenue impact, an 8% improvement in order fulfillment speed, and a 50% reduction in manual interventions. I have hands-on experience with A/B testing, causal inference, NLP, and MLOps, and I enjoy collaborating with cross-functional teams to turn data into action.

Available to hire

I am a Data Scientist with 4+ years of experience building end-to-end machine learning pipelines, statistical models, and cloud-native data infrastructure across e-commerce, manufacturing, and enterprise software domains.

I translate complex data into measurable business outcomes, including a $1.2M annualized revenue impact, an 8% improvement in order fulfillment speed, and a 50% reduction in manual interventions. I have hands-on experience with A/B testing, causal inference, NLP, and MLOps, and I enjoy collaborating with cross-functional teams to turn data into action.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Scientist at Amazon

March 1, 2025 - Present

Developed predictive models using Python (Scikit-learn, XGBoost) on 10M+ records to identify process inefficiencies, improving order fulfillment speed by 8% and projected to save 1,000+ staff-hours annually. Designed and executed A/B tests and causal inference studies on AWS S3 data, optimizing pricing logic and delivering a 3–4% uplift in conversions and an estimated $1.2M annualized revenue impact. Automated ETL workflows using AWS Glue, Lambda, and Talend, reducing report generation time by 25% and compute costs by 10%, improving data readiness for downstream ML pipelines. Architected and maintained Tableau and Amazon QuickSight dashboards tracking KPIs and ML model performance across 5 cross-functional teams, enabling a 2× faster analytics turnaround. Launched and monitored ML models via AWS SageMaker integrated with CI/CD pipelines, improving model reproducibility, version control, and production reliability.

Data Scientist Intern at Prozech

July 1, 2023 - December 1, 2023

Engineered a Python, Apache Airflow, and AWS S3 pipeline to extract and process unstructured data at 85% accuracy, eliminating 35 manual hours per week and improving compliance audit readiness. Developed a BERT and spaCy-based NLP summarization model for ERP datasets, accelerating product data workflows and reducing decision latency by 12% across 3 business units. Delivered a TF-IDF, Word2Vec, and RAG-powered chatbot using LangChain, cutting internal query response times by 18% and boosting user satisfaction scores by 25% in early deployment.

Data Scientist at Michelin

July 1, 2021 - August 1, 2022

Designed and deployed ML models using IoT telemetry data to predict equipment failures, improving maintenance scheduling accuracy by 32% and reducing unplanned downtime costs. Built Talend- and Python-based ETL workflows on PostgreSQL to preprocess 2TB of daily IoT sensor data, generating optimized feature sets for anomaly detection and predictive analytics. Orchestrated and monitored ML pipelines using GitLab CI/CD, Docker, and Kubernetes with Prometheus-based health dashboards, achieving 99.9% system reliability while reducing manual interventions by 50% and accelerating deployment cycles by 35%.