SRIKARAN SANKAR
@srikaransankar
I build scalable data pipelines and machine learning systems for analytics and intelligent automation.
What I'm looking for
At Amazon Development Center, I built ETL/ELT pipelines for millions of product data points and developed rule engines and ML models that achieved approximately 90% classification accuracy. I improved catalog-data validation efficiency by 40% while supporting real-time analytics for the Fisher Model product catalog standardization system.
I'm pursuing an MSc in Artificial Intelligence in Dublin and bridge data engineering with advanced analytics. My projects include a UiPath and Python recruitment automation agent that cut CV processing from six minutes to 4.4 seconds, plus a Streamlit-based skill-gap prediction application built on an 82-feature ML dataset.
Experience
Work history, roles, and key accomplishments
Designed and implemented scalable ETL/ELT pipelines to process millions of ASIN-level product data points. Built Python-based rule engines and ML models to detect non-compliant, duplicate, or miscategorized data, achieving ~90% accuracy in classification.
Trainee Data Process Intelligence
Ennuviz Technology
Dec 2023 - Jun 2024 (6 months)
I was a Trainee in Data Process Intelligence at Ennuviz
Education
Degrees, certifications, and relevant coursework
National College of Ireland
Master of Science, Artificial Intelligence
Pursuing a Master of Science in Artificial Intelligence, with coursework in data analytics, machine learning, and AI-driven decision making. Completed projects include an AI-driven HR recruitment automation system and a career readiness skill gap prediction application.
Kongu Engineering College , Erode
Bachelors of Engineering, Mechanical Engineering
2019 - 2023
Grade: 7.56
Tech stack
Software and tools used professionally
Availability
Location
Portfolio
srithings.infoSalary expectations
Job categories
Skills
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