Subrato Roy
Test Engineer| Product Engineer| Manufacturing Engineer| Data Engineer | Data Science & AI| Machine Learning| Automation|
- Role
- Test R & d Engineer Sort Product Engineer at Intel
- Location
- Portland, OR, US
- LinkedIn followers
- 500 followers
About Subrato Roy
Welcome to my profile! I am a professionally experienced Engineer with 8+ years of experience in R&D and manufacturing sectors of semiconductor as well as automotive industries. I also have an MS degree in Engineering from USA. Below is my career and credentials summary:Manufacturing & R&D:• Practical experience of applying six sigma tools: DMAIC, SPC, CP, CPk, DFSS, 5W,6M, 8D, ANOVA, DFMEA, APQP, GR & R, CAPA, Z, T, and F tests, DOE, GD & T, BOM, ERP, DVP & R, VSM, MSA, PPAP, etc.• 4+ years of experience in semiconductor manufacturing, new product (NPI) testing to high volume production, equipment testing, factory capacity planning, and resolution of daily operational issues.• 4+ years of operation and hands-on maintenance experience in metal cutting and machining sector of automotive industry; Mechanical testing, high-speed packaging machines, injection molding machines.• Strong skills in numerical design and analysis using Abaqus (3+ years), Ansys (3+ years), Siemens NX, HyperWorks, SolidWorks, CATIA, and PTC Creo.• Excellent soft skills in presentation, and public speaking along with technical communication and writing, • Capability to work independently and in a team environment.• Possesses strong problem-solving and time-management skills.Data science and engineering:• Expert in ORACLE SQL developer, Python, Pandas, Numpy.• 3 years of hands-on project delivery experience in data modeling, dashboard making, large-scale data pipeline making, and data-driven decision-making. Tools used: Python, SQL, Power BI, Tableau, JMP, and Advanced MS-Excel.• Specialization in leveraging advanced statistical methods, machine learning, and data analytics to drive actionable insights and business strategies. Tools/libraries used: Apache spark, SciKit learn, model development in regression, classification, KNN, support vector machine, random forest, and CNN. • Proven track record of transforming complex datasets into clear, valuable solutions for organizations across multiple departments. • Authorized to work in the US and willing to relocate.e-mail: 1••••••••@gmail.com
Experience
Test R & d Engineer Sort Product Engineer
Jan 2023 — Present · US
Partnered with S & OP, planning, and NPA team to ensure flawless supportability over 30 new products from the testing phase to high-volume production.• Developed a probe card repair prioritization prediction tool using XGBoost ML model and automated the existing manual process.• Developed an AI model-optimized automated process using Python, SQL, and HTML programs to collect, analyze, and distribute manufacturing indicator packages that reduced user intervention by 98%.• Collaborated with cross-functional teams to resolve die sort NPI issues, improve operational efficiency, and completed over 50 NPIs within the timeline.• Forecasted wafers, probe cards, testers, and testing tool capacity for the Oregon wafer sort factory for tactical (13 weeks) and long-range (up to 104 weeks) horizon.• Owned and led the weekly output commitment and cycle time KPI to ensure 0 misses in departmental KPIs.• Developed multiple data-driven prediction models for several Die Sort reports. • Automated multiple reporting systems using Python and SQL, and implemented visual dashboards using Power BI for a daily output tracker, cycle time tracker, and wafer lots at different US-based Intel sites which reduced manual user intervention by more than 95%.• Achieved Intel’s quarterly divisional special award for the division of Die Sort.
Education
Washington State University Vancouver
MSC, Mechanical Engineering
2019 — 2021
Bangladesh University of Engineering and Technology
Bachelor's degree, Mechanical Engineering
2011 — 2016
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