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Saisri Vishwanath

@saisrivishwanath

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Graduate student skilled in AI/ML and Data Analysis.

United States

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What I'm looking for

I am seeking a dynamic role where I can apply my AI/ML skills to solve real-world problems, contribute to innovative projects, and grow within a collaborative team environment.

As a graduate student with over two years of experience in data analysis and artificial intelligence, I am passionate about leveraging technology to drive innovative solutions. My journey has equipped me with a robust skill set in AI/ML, enabling me to build impactful applications that enhance decision-making and operational efficiency.

At Syracuse University, I developed an LLM-powered research assistant that improved document retrieval precision by 30%. My previous role at Oracle involved leading a significant data migration project, where I ensured 100% data integrity across over a million records. I thrive in collaborative environments and enjoy mentoring others, having trained numerous new hires in advanced SQL techniques.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

Syracuse University

Feb 2025 - Present (6 months)

Built an LLM-powered research assistant for easy access to university research documents by combining semantic search (BERT + cosine similarity), RAG architecture (OpenAI + Pinecone), and contextual summarization via prompt engineering, boosting retrieval precision by 30%. Applied NER and sentiment analysis to extract key entities and evaluate user feedback, enhancing contextual relevance and resp

LLM BERT RAG Pinecone NER fastAPI Docker

Data Analyst

Oracle

Jul 2021 - Present (4 years 1 month)

Led the end-to-end migration of employee lifecycle data to Oracle Cloud Infrastructure (OCI), conducting detailed root cause analysis on data discrepancies and implementing validation scripts to ensure 100% data integrity across 1M+ records. Developed 30+ complex SQL analytical reports to support workforce planning and compliance, reducing report execution time by 50%. Reduced data processing time

Oracle Cloud)SQL ETL AWS S3 Tableau Statistical Analysis Regression Modeling Anomaly Detection Jira Confluence

Data Analyst

Publicis Sapient

Jan 2021 - Present (4 years 7 months)

Improved product image classification accuracy by 15% for an e-commerce vehicle parts platform using transfer learning with VGG and GAN-based data augmentation, enhancing product tagging for accurate search. Built and deployed a demand forecasting model using Random Forest Regressor to predict product-level inventory needs, leveraging feature importance to identify key demand drivers and reducing

Transfer Learning VGG Random Forest A B Testing Matrix Factorization TF IDF AWS Sagemaker GitHub CI CD

Education

Degrees, certifications, and relevant coursework

Syracuse University

Master of Science, Computer Science

2023 - 2024

Grade: 3.7/4

Activities and societies: Coursework: Statistics, Machine Learning, Natural Language Processing, Reinforcement Learning, Large Language Models, Data Mining and Analytics

Pursued a Master of Science in Computer Science, focusing on advanced topics such as Machine Learning, Natural Language Processing, and Large Language Models. Achieved a GPA of 3.7/4 and was recognized as a Merit Scholar.

PES University

Bachelor of Engineering, Electronics and Communication

2017 - 2021

Grade: 9/10

Activities and societies: Coursework: Mathematics, Algorithms, Object-Oriented Programming, Operating Systems, Artificial Neural Networks, Deep Learning, Data Science.

Completed a Bachelor of Engineering in Electronics and Communication, with coursework covering Mathematics, Algorithms, and Data Science. Maintained a GPA of 9/10 and was awarded a Merit Scholarship.