Open to opportunities

sushma sharma

@sushmasharma

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Data Scientist with 5+ years in AI and data engineering.

India

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What I'm looking for

I am looking for a role that fosters innovation and offers opportunities for growth in AI and data science.

I am a Data Scientist with over 5 years of experience specializing in AI and data engineering, particularly in large language models (LLMs) and Generative AI. My career has been marked by a proven track record of delivering scalable solutions that have significantly boosted productivity and uncovered substantial cost savings for my organizations. For instance, I identified $0.8M in margin leakage at GE Vernova and saved 100,000 hours by implementing innovative frameworks.

Throughout my career, I have adeptly integrated complex systems and led automation initiatives that drive innovation and enhance decision-making. My experience spans various roles, including Senior Data Scientist and Data Engineer, where I have built and optimized scalable ETL pipelines and automated risk assessments using Generative AI. I am currently pursuing a Master’s in Computer Science with a specialization in Machine Learning, further solidifying my expertise in this rapidly evolving field.

Experience

Work history, roles, and key accomplishments

Current

Sr Data Scientist

Current

GE Vernova

Jul 2024 - Present (11 months)

Identified $0.8M in margin leakage across customer proposals using a Multi-RAG framework and saved 100,000 hours by implementing a ReAct framework for auto-generating technical proposal drafts. Improved query retrieval accuracy by 25% through a user query enhancer leveraging semantic embeddings and automated risk assessment on shop floor activities using GenAI.

Multi RAG React Embeddings Generative AI NLP Deep Learning Data Analytics

Digital Technology Leadership Program

GE Power

Aug 2022 - Jul 2024 (1 year 11 months)

Automated "Should Cost" estimation using Python and SQL, uncovering over $10M in cost savings and boosting productivity by 60%. Streamlined bulk sourcing operations by analyzing parts with similar specifications using clustering models and directed program and risk management efforts across 12 IT domains.

Python SQL Clustering Program Management Risk Management IT Management Data Analytics Process Automation

Data Engineer

GE Power

Jul 2020 - Jul 2022 (2 years)

Built and optimized scalable ETL pipelines, integrating over 20 source systems and designing robust backup and restoration mechanisms for data load resilience. Reduced manual efforts by 80% with an automated daily data load framework and strengthened data control logic to resolve multi-source issues in daily processing.

ETL Data Integration Data Automation SQL Data Engineering Data Processing Optimization

Education

Degrees, certifications, and relevant coursework

Georgia Institute of Technology

M.S. in Computer Science, Machine Learning

Pursuing a Master of Science in Computer Science with a specialization in Machine Learning. Focuses on advanced topics in artificial intelligence and data science.

SRM University

B.E. in Computer Science and Engineering, Computer Science and Engineering

Completed a Bachelor of Engineering in Computer Science and Engineering. Acquired foundational knowledge in programming, algorithms, and software development.