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suresh kadiyala

@sureshkadiyala

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Senior Data Scientist specializing in AI and machine learning solutions.

United States

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What I'm looking for

I seek a role that fosters innovation and collaboration, with opportunities for growth.

I am a Senior Data Scientist with over 6 years of experience in designing and implementing AI and ML systems. My expertise lies in Generative AI, LLMs, Deep Learning, and NLP pipelines, where I have successfully developed scalable solutions that drive automation and enhance decision-making across various industries.

At Microsoft, I developed LLM-powered summarization tools that improved efficiency by 30% and built RAG pipelines that enhanced contextual accuracy by 40%. My role involved collaborating with cross-functional teams to translate complex data science goals into actionable technical roadmaps, ensuring the delivery of high-impact solutions. I am passionate about leveraging data to solve business-critical problems and deliver measurable value.

With a strong foundation in Python, SQL, and cloud technologies, I have a proven track record of orchestrating advanced analytics frameworks and operationalizing AI models using modern MLOps practices. I thrive in dynamic environments where I can contribute to innovative projects and mentor others in the field.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist / ML Engineer / AI Engineer

Current

Microsoft

May 2023 - Present (2 years)

Developed and deployed LLM-powered summarization tools using GPT-4 & BERT for automating government bill analysis, improving efficiency by 30%. Built and fine-tuned RAG pipelines using LangChain agents and vector databases like Pinecone and Milvus, improving contextual accuracy by 40%.

BERT Lang Chain Pinecone Milvus Python SQL BLEU

Data Scientist / ML Engineer

Accenture

Feb 2022 - Present (3 years 3 months)

Created and deployed propensity models using Random Forest and XGBoost, increasing targeted campaign ROI by 15%. Built ML model retraining pipelines for ongoing performance tracking and remediation. Developed Tableau dashboards and analytics tools to provide visibility into business metrics.

Random Forest XGBoost Tableau AWS Glue AWS Lambda S3 Snowflake Flask REST APIs

Junior ML Engineer / Data Engineer

Code Peers Tech Solutions

Jun 2018 - Present (6 years 11 months)

Built ML pipelines for classification, clustering, and NLP using Scikit-learn and Python. Managed SQL/NoSQL data systems, improving data access and consistency across teams. Delivered actionable insights to stakeholders through ad-hoc analysis and root-cause investigation.

scikit learn Python SQL NoSQL Selenium Spark ETL Tableau IoT

Education

Degrees, certifications, and relevant coursework

Lewis University

Masters, Data Science

2023 - 2024

Grade: 3.83

Pursued advanced studies in data science, focusing on statistical modeling, machine learning, and data analysis techniques. Coursework included topics such as big data analytics, artificial intelligence, and data visualization.

Indian Institute of Technology Kanpur

Bachelors, Computer Science

Grade: 3.60

Completed foundational coursework in computer science, covering programming, algorithms, and software development principles. Studied core areas including data structures, operating systems, and software engineering.