Saeed Gavidel
Data Scientist (Hthd) Team Lead @Ford Motor Company
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WORK HISTORY
Data Scientist (Hthd) Team Lead @Ford Motor Company
MI, US
As a High Tech High Demand Data Scientist and Big Data Engineer at Ford Motor Company GDI & A, SCA-V (September 2019 to present) GDI & A-SCAV Connected Vehicle (CV) Decode Data Quality Monitoring Team is responsible to ensure that high-quality CV, sensory, and customer data flows in the Ford’s analytical pipelines. I lead the team and we have successfully built +30 Big Data and AI/ML products including an intelligent Auto AI/ML system known as CV Data Quality Monitoring Framework (DQMF). The DQMF is a productionized Big Data quality assessment, prediction, monitoring, and reporting system equipped with 48 ETL and analytical engines. DQMF processes several hundred terabytes of Ford data and sinks the results into a real-time reporting dashboard. I have architected the DQMF. Spark, Scala, Python, Java,and Hive are for development and productionization purposes.• Architected, coded, and implemented the ETL engines on top of HDFS, designed and constructed the staging and permanent storage, built predictive and anomaly detection engines of CV-DQMF. The ETL engines are developed by using Scala/Spark and PySpark. The storage system has snowflake schema and constructed by using Hive. Python, R, Scala/Weka are employed to build the predictive and detection engines.• Designed, developed, and operationalized Volume Monitoring Engine that monitors the volume of streaming CV data into Hive tables. The engine intelligently learns dynamic thresholds to flag anomalous streams. I have used Random Forest, Ridge, LASSO, SVM, KNN, and CART algorithms to learn the thresholds. Random Grid Search is used to tune the hyperparameters and bootstrapping was used to estimate 95% CI. Python and its Scikit-learn framework is employed to develop this engine. Finally, matplotlib is utilized to visualize the output. In February 2021, the engine detected ~23 M CV records being archived in HDFS without being processed and ingestion in Hive tables. This is considered waste prevention at Ford.
EDUCATION
Amirkabir University of Technology - Tehran Polytechnic
Master's degree
University of Tabriz
Bachelor's degree
Wayne State University
Doctor of Philosophy - PhD
Wayne State University
Master's
ABOUT SAEED GAVIDEL
About GaviData Mission: We build AI Agents to refine and elevate your data and AI/ML tasks, delivering value in a fraction of the time and cost you pay today. Founded by Dr. Saeed Gavidel, PhD in Industrial Systems Operations and expert in Data & AI/ML, GaviData delivers transformative solutions based on AI Agents. With deep expertise in the auto and manufacturing industries, Dr. Gavidel leads a skilled team of Data Scientists and domain experts dedicated to solving complex challenges and generating value streams. Our innovative, data-driven approach ensures streamlined efficiency, enhanced performance, and actionable insights for your business. Optimize Your Operations with GaviData’s AI Agents At GaviData, we turn complexity into opportunity by harnessing the transformative power of Agentic AI. Our passion for excellence and cutting-edge agentic solutions empowers businesses to optimize operations and generate more value. Don’t let intricate challenges hold you back—before abandoning a project due to complexity or data quality issues, let us share our expert insights. Our Specialized Services Include: 1) IoT, Sensory, and Connected Vehicle Data Quality Management and Remediation Agents: AI-powered agents that manage and remediate data streams from IoT devices, sensors, and connected vehicles, ensuring high fidelity, consistency, and reliability across your data and analytics ecosystem. 2) Supply Chain and Inventory Optimization Agents: Streamlining operations with precise demand forecasting, simulation, and inventory management. Anomaly Detection Agents: Identifying disruptions in the supply chain or vehicle data for rapid resolution. Agent-empowered design of experiments to extract the most informative and actionable information at the lowest experimental cost. Simulation Agents: Creating virtual models to illuminate best- and worst-case paths — helping teams anticipate challenges, validate strategies, and fortify decision-making. We’re offering free Feasibility Analysis meetings to explore how GaviData\'s AI Agents can enhance your data strategy and drive measurable value. Schedule your complimentary consultation today and discover how we simplify complexity, driving efficiency, innovation, and growth for your business.
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