Moksh Goel
Assistant Engineer @Samsung Display
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WORK HISTORY
Assistant Engineer @Samsung Display
IN
Java Development Certification: Proficient in core Java principles, Spring Boot framework, SQL, and PLSQL query optimization for efficient backend development.* Python AI/ML Certification: Completed intermediate AI/ML training at Samsung, covering statistical analysis, NumPy, pandas, scikit-learn models, OpenCV, and Keras.* Spotfire Certification: Skilled in exploratory data analysis, data transformations, visualization, and forecasting using Spotfire for data-driven decision-making.* Level 4 Certification in Report Automation: Achieved Expert Level 4 at Samsung, automating reporting processes and saving significant man-hours.* Dashboard Development: Created multiple dashboards for defect analysis, SCM KPI management, and efficiency monitoring, enhancing data accessibility and operational insights.
EDUCATION
SVKM's Narsee Monjee Institute of Management Studies (NMIMS)
Bachelor of Technology - B.Tech Mechatronics Engineering, Mechatronics, Robotics, and Automation Engineering
Lilavatibai Podar Sr Secondary School
Science
Rutgers Business School
Masters, Information Technology and Analytics
ABOUT MOKSH GOEL
I’m drawn to problems where data reveals what the system itself cannot say. Whether it’s a manufacturing line, a machine log, or a sequence of events hidden in timestamps, I enjoy uncovering the patterns that explain why things work or why they don’t. That mindset originally grew from my Mechatronics background, where every process leaves a trail of signals, logs, and traces. Over time, it led me toward analytics, automation, and data engineering as a way to turn those patterns into meaningful decisions.At Samsung Display, I worked with high-volume production data and used tools like SQL, Python, Spotfire, Power BI, and information link based ETL flows to translate machine-level information into insights that improved operational visibility. I built dashboards that combined defect trends with equipment events, automated recurring reports to reduce repetitive work, and validated data flows against real production behavior. I also contributed to AI-driven projects using Python, TensorFlow, and OpenCV, helping improve tact time through computer-vision automation.Some of the results I delivered include:• Reduced manual data fetching by 14 percent with integrated dashboards• Cut reporting time by 8 percent through automated data wrangling• Improved tact time by 12 percent by supporting computer-vision enhancements• Enabled real-time visibility across multi-stage processes with event correlation and KPI monitoringDuring my time at Samsung, I completed certifications in Java development, AI and machine learning, Spotfire analytics, and Level 4 reporting automation, which strengthened my ability to build scalable and reliable analytical systems. These experiences reinforced how much I enjoy creating tools that make information easier to understand and easier to act on.I’m now pursuing my Master’s in Information Technology and Analytics at Rutgers Business School, focusing on data engineering, predictive analytics, and BI development. I’m actively seeking Summer 2026 internships where I can contribute to data-driven solutions and learn from teams building the next generation of analytics and automation tools.I’m always open to connecting with people working in analytics, data engineering, automation, or operations.
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