Meghana PMP
Open to opportunities

Meghana P

@meghanap

Highly skilled Data Scientist with expertise in machine learning solutions.

United States
Message

What I'm looking for

I am looking for a role that fosters innovation and collaboration, with opportunities for growth in AI and machine learning.

I am a highly skilled Data Scientist with over 4 years of experience in machine learning, complex data analysis, and Generative AI solutions. My proven track record includes building predictive ML models, feature engineering, and deploying production-ready pipelines for classification, recommendation, and forecasting. I have a strong expertise in engineering AI agent workflows and orchestration using LangGraph and LangChain, as well as deploying RAG solutions with LLM fine-tuning.

In my current role as an ML Engineer at Quantiphi, I led the development of a GenAI-driven policy recommendation engine, automating the assessment of over 10,000 small-business regulations and significantly reducing manual review time. My experience also includes fine-tuning advanced models like BERT and GPT, and developing predictive ML solutions that have enhanced forecast accuracy and improved data reliability. I am passionate about translating complex model outputs into actionable insights, which has enabled the delivery of strategic reporting dashboards.

Experience

Work history, roles, and key accomplishments

QI
Current

ML Engineer

Quantiphi, INC

Dec 2024 - Present (7 months)

Led end-to-end development of a GenAI-driven policy recommendation engine, leveraging LLMs, prompt engineering, and RAG workflows to automate assessment of 10,000+ small-business regulations, reducing manual review time by 60%. Automated CI/CD pipelines with GitHub Actions and MLflow, slashing model deployment lead time by 70% and enabling daily releases.

TE

Data Scientist

Tata Elxsi

May 2021 - Jul 2022 (1 year 2 months)

Designed and deployed a hybrid recommender system using Collaborative and Content based Filtering on an AWS EMR cluster, and improved click-through rates by 30%. Automated real-time data ingestion, reducing manual intervention by 40%, by integrating Snowflake solutions into existing data pipelines using snow pipe, streamlining the ETL process through collaboration with cross-functional teams.

Education

Degrees, certifications, and relevant coursework

Saveetha University logoSU

Saveetha University

Bachelor of Engineering, Computer Science and Engineering

Studied core principles of computer science and engineering. Developed foundational knowledge in programming, algorithms, and data structures.

University of North Texas logoUT

University of North Texas

Master of Science, Data Science

Focused on advanced data science concepts and methodologies. Gained expertise in machine learning, complex data analysis, and Generative AI solutions.

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