Jagadeesh Yarramsetty
Buda,TX
Summary
Highly skilled Data Analytics Lead with background in managing complex data sets, driving business intelligence, and promoting data-driven decision making. Strengths include advanced statistical analytics, predictive modeling, and proficiency in SQL, Python, and R. Notable for leading teams to optimize processes and deliver actionable insights that enhance operational efficiency.
Overview
9
9
years of professional experience
Work History
MTS Product Development Engineer
Advanced Micro Devices
Austin, TX
01.2020 - Current
- Led yield engineering efforts to optimize chiplet pairing for five new-generation products, resulting in increased packout and meeting quarterly demand goals
- Collaborated with FTO team to identify and resolve fab-related yield concerns
- Implemented efficient and standardized Python notebook workflows to analyze ATE test characterization data
- Analyzed SLT characterization data using a standardized approach to gain a comprehensive understanding of the product's performance capabilities under varying frequency, voltage, and temperature conditions.
- Managed and oversaw several Dataiku-driven initiatives to automate reporting processes, resulting in substantial improvements in turnaround times for analytics requirements.
- Designed and implemented a database-aware tool in Python to connect Snowflake and Oracle databases
- Collaborated with the Global Data Analytics team to develop and implement data models for parametric analyses.
- Guided cross-functional teams in acquiring advanced skills in Python-based data extraction and analysis through leadership of a comprehensive training series.
Sr. Integration & Yield Engineer
GLOBALFOUNDRIES
MALTA, NY
04.2015 - 01.2020
- Managed yield step-up plans and product roadmaps for multiple high-volume products in the fab.
- Implemented product yield pareto and control table for driving continuous improvement in device performance and defect reduction across different process modules.
- Managed a diverse set of task forces aimed at addressing systematic process issues.
- Contributed to smooth inter-fab tech transfer by supporting 12FDX technology ramp and analyzing critical HOL parameters.
- Developed automated analysis and reporting to detect early anomalies and validate process fixes and improvement plans.
- Collaborated with Amazon and Google AI teams to establish and showcase cloud data analytics capabilities.
- Created and implemented a Convolutional Neural Network (CNN) model for accurate identification of spatial failure patterns on wafer maps.
- Developed systems to detect outliers, pattern shifts, and trend drifts in process data for early identification of issues in manufacturing processes.
Education
Master of Science - Electrical Engineering
State University of New York At Buffalo
Buffalo, NY02-2015
Bachelor of Technology - Electrical, Electronics And Communications Engineering
Jawaharlal Nehru Technological University
India05-2012
Skills
- Root Cause Analysis
- Manufacturing process understanding
- Statistical process control
- Post Silicon Characterization
- ATE/SLT Test Data Analysis
- NPI Product Definition
- Statistical Analysis
- Data Mining
- Dashboard creation
- Data Warehousing
- Report Generation
- Predictive analysis
- Infrastructure development
- Data Modeling
- Python, R, JMP, SQL Programming
- Dataiku
Timeline
MTS Product Development Engineer
Advanced Micro Devices
01.2020 - Current
Sr. Integration & Yield Engineer
GLOBALFOUNDRIES
04.2015 - 01.2020
Master of Science - Electrical Engineering
State University of New York At Buffalo
Bachelor of Technology - Electrical, Electronics And Communications Engineering
Jawaharlal Nehru Technological University
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