Meghana P
@meghanap
Highly skilled Data Scientist with expertise in machine learning solutions.
What I'm looking for
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
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.
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
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
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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