№ files_lp_3_process_9_67667
Professional resume detailing work experience, technical expertise, and project achievements in data science, ML Ops, and analytics for enterprise and utility applications.
Year: 2026
Region / City: San Jose, CA, US
Document Type: Resume / Professional CV
Field: Data Science, Machine Learning, ML Ops
Organization: Intuit; Charge EPC
Position: Senior Data Scientist / ML Ops Engineer; Data Scientist / Project Controls Operations
Skills: Python, SQL, TensorFlow, PyTorch, Scikit-learn, XGBoost, MLflow, Kubeflow, Vertex AI, Docker, Kubernetes, Airflow, Power BI, Qlik Sense, Tableau
Experience: 10 years
Industry Focus: FinTech, SaaS, Utilities, Energy
Achievements: Developed end-to-end ML pipelines, predictive models, and automated ETL/ELT workflows; integrated workforce and financial datasets; implemented fraud detection and anomaly monitoring systems
Target Audience: Hiring managers, recruiters, and project stakeholders
Certifications / Tools: CI/CD workflows, Cloud (AWS/GCP/Azure), Delta and Iceberg table structures, ML model governance frameworks
Price: 8 / 10 USD
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