Senior Data Scientist

Uday Varikupala

6+ Years Experience | NLP Specialist | RAG Architecture Engineer
Fintech • Healthcare • Enterprise AI

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About Me

Senior Data Scientist specializing in Natural Language Processing

Senior Data Scientist with 6+ years of hands-on experience designing scalable NLP workflows, implementing advanced RAG architectures, and building LangChain and LangGraph applications that modernize content delivery and AI-enabled solutions across Life Sciences, Healthcare, and enterprise AI platforms.

Deep expertise in text processing pipelines including indexing, vectorization, prompting, fine-tuning, summarization, and context management. Proven experience architecting retrieval-augmented generation (RAG), VRAG, and GraphRAG systems using vector stores including Pinecone and FAISS.

6+ Years Experience

$1M+ Revenue Impact

3 Industries

Technical Skills

Core competencies and technologies

NLP & AI

LangChain LangGraph RAG / VRAG / GraphRAG Prompt Engineering LLMs (OpenAI, Anthropic) Hugging Face Text Classification Semantic Search

Vector Stores

Pinecone FAISS Redis PostgreSQL (pgvector) Embedding Models

Languages & Tools

Python Pandas / NumPy Scikit-learn TensorFlow / PyTorch XGBoost / LightGBM Advanced SQL

MLOps & Cloud

AWS (SageMaker, Lambda) Docker / Kubernetes MLflow CI/CD (GitHub Actions) Feature Store Apache Spark

Work Experience

Professional journey

Aug 2023 - Present

Senior Data Scientist (NLP)

Quicc | Memphis, TN

Built LangChain & LangGraph applications with RAG architectures, reducing R&D cycle time by 30%
Implemented Pinecone vector store with 35% latency improvement for semantic search
Developed prompting frameworks and fine-tuning approaches for LLM applications
Conducted benchmark testing using Arize AI, reducing model downtime by 60%
Mentored 2 junior data scientists and 1 intern on RAG architectures

May 2021 - July 2023

Data Scientist - Fintech NLP

Caliber Home Loans | Hyderabad, India

Designed NLP workflows for mortgage document extraction and classification
Reduced manual financial processing errors by 70%
Cut daily reporting time from hours to under 10 minutes
Built Power BI executive visualizations for risk and finance leadership

Jan 2020 - April 2021

Senior Data Scientist - Healthcare AI

Novartis | Hyderabad

Built AI models predicting patient no-shows, delivering $1M+ revenue recovery
Served 10,000+ daily predictions at sub-50ms latency via real-time API
Implemented SHAP-based explainability for clinical operations teams

Featured Projects

Key technical achievements

AI-Powered Patient No-Show Prevention

Healthcare NLP & ML pipeline combining appointment history, weather data, and geospatial patterns to forecast patient no-shows. Delivered $1.2M annual revenue recovery.

XGBoost Real-time API SHAP

Customer Lifetime Value Prediction

Fintech ML engine using K-Means, survival analysis, and gradient boosting to model churn probability and LTV. Surfaced $2.7M ROI opportunity.

Clustering Survival Analysis Optuna

Intelligent User Journey Analytics

E-commerce NLP pipeline processing millions of user interactions. Identified Safari bug causing $430K monthly revenue loss.

Anomaly Detection Causal Inference Kafka

Education & Certifications

Master of Science in Data Science

University of Memphis

Graduated Top 1% of Class

NLP, Machine Learning, Deep Learning, LLMs, RAG, MLOps, Cloud AI

Certifications

Microsoft Certified: Power BI Data Analyst Associate
Advanced Google Analytics
Mathematics for ML & Data Science (DeepLearning.AI)