Raviteja P.
Lead Data Scientist
Experience
Lead Data Scientist
Verisk Analytics
- Oversee end-to-end delivery of ML and NLP models by analyzing business problems, collecting and wrangling data, developing models, and deploying solutions.
- Lead the development of multiple chatbots utilizing LLMs and RAG architecture for use cases like generating sales meeting summaries from sales data and PDF extraction.
- Develop agentic systems leveraging tools like N8N and Agno AI to automate processes such as invoice generation, HRMS workflows, and support ticket routing.
- Build and deploy a machine learning model to predict insurance premiums for a U.S. insurer, enhancing pricing accuracy and underwriting efficiency.
- Automate data extraction from multiple U.S. state and federal websites, building a robust and up-to-date sanction data database.
- Leverage generative AI and LLMs within AWS Bedrock to extract accurate answers from audio transcriptions.
- Develop and deploy an NLP recommendation model to suggest treatments based on nurse summaries for MSA pricing in the U.S.
- Enhance data processing efficiency by designing a custom NER model with RegEx for attribute extraction, reducing manual intervention by 70%.
Project Engineer
Wipro Limited
- Build data science solutions by analyzing business problems, developing predictive models, and presenting insights to customers and leadership teams.
- Develop and fine-tune a predictive analysis model to forecast failure rates of hard disk components, enhancing production yield and operational efficiency.
- Design and optimize classification models, evaluating multiple algorithms to identify the most accurate approach for predicting failure rates.
- Create interactive KPI dashboards in Tableau, integrating extracted SQL data to provide actionable insights for oil & gas pipeline performance monitoring.
- Implement deep learning solutions, including a CNN model for pipeline corrosion detection, utilizing data augmentation and transfer learning for improved accuracy.
- Communicate project plans, progress, and key metrics to clients through regular interactions, ensuring alignment with business objectives.
Summary
Results-driven data science professional with 8 years of experience in delivering ML-based solutions and data-driven business strategies to achieve essential business outcomes.
Skilled in building ML and NLP systems and developing complete predictive models by utilizing LLMs, RAG architectures, and Vector Databases to create AI-powered applications.
Technical experience in Python and SQL expert alongside my abilities in Tableau. skills include Looker & data collection with exceptional data wrangling skills, model development, and visualization.
Hands-on experience in AWS includes working with Lambda, Bedrock, & S3 services for implementing AI-powered automation solutions, data workflows, ML model deployment in cloud environments, and automation tasks.
Experience in analytics solutions using AI & built chatbots alongside automated features for sales meeting summaries and sanction data extraction and medical recommendation systems.
Predictive Modeling
Natural Language Processing (NLP)
Agentic AI
Recommender Systems
Large Language Models (LLMs)
Data-Driven Decision Making
Chatbot Development
Retrieval-Augmented Generation
KPI Development & Tracking
Named Entity Recognition (NER)
Vector Databases
Stakeholder Communication
Automated Text Summarization
Deep Learning
Cross-Functional Collaboration
Data Science / Business Intelligence: Python, SQL, Machine Learning
Natural language processing: NLTK, Spacy, Recommender System
Data Visualization / Reporting: Tableau and Looker
Version Control & Agile / Others: Git, JIRA
Cloud Computing: AWS Lambda, Bedrock, Sagemaker and S3
Deep learning: Pytorch, Tensorflow
Generative AI: LLMs, RAG, Langchain, LangGraph, Agentic AI, N8N, AgnoAI, Crew AI
Languages
Education
BITS Pilani
Bachelor of Engineering, Electronics and Communication Engineering · Electronics and Communication Engineering · India
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