.png){kind=logo}
Vetted R Professionals
Pre-screened and vetted.
Ajitha Rachamanti
Mid-level Data Analyst specializing in healthcare and financial analytics
“Healthcare analytics candidate with hands-on experience turning messy claims and clinical data into validated SQL/Python pipelines and Power BI dashboards. They have delivered measurable impact in revenue cycle operations, including 15-18% improvement in reimbursement accuracy and 40-45% reduction in manual reporting effort.”
Sri Lakshmi Guduru
Mid-level Data Scientist specializing in experimentation, NLP, and ML
“Data science and AI professional with Capital One experience building churn prediction and GenAI-powered document intelligence solutions. Stands out for pairing hands-on technical depth in NLP, LLMs, and analytics with strong business communication, including driving adoption across teams and contributing to a 25% reduction in customer churn.”
Jareena kowsar shaik
Mid-level Machine Learning & GenAI Engineer specializing in LLMs, RAG, and NLP
“Built and deployed an LLM-powered customer support assistant (“Notable Assistant”) focused on automating common post-customer queries while maintaining multi-turn context and meeting scalability/latency needs. Experienced with production orchestration and operations using Kubernetes and Apache Airflow (DAG-based ETL, scheduling, monitoring/alerts), and has partnered closely with customer service stakeholders to align chatbot behavior with brand voice through iterative testing.”
Bharath TVS
Senior Data Scientist specializing in NLP, LLMs, and Computer Vision
“Applied NLP/ML engineer with experience at KeyBank and Novartis building production document intelligence and entity-resolution systems in finance and healthcare. Has delivered end-to-end pipelines (Airflow + AWS) using transformers (DistilBERT/Sentence-BERT), vector search (FAISS/Milvus/Pinecone), and human-in-the-loop labeling to achieve measurable gains (40%+ faster queries; up to 88% F1 and 93% precision/90% recall in entity linking).”
Janvitha Mandyam
Mid-level AI/ML Engineer specializing in Generative AI and NLP
“GenAI/LLMOps practitioner who deployed a production RAG-based customer service and knowledge retrieval system for a global bank using LangChain, FAISS/Azure Cognitive Search, GPT-4/Claude, and Guardrails—driving a reported 35% Q&A accuracy lift while reducing handle time and escalations. Also partnered with non-technical leaders at CVS Health to deliver ML-driven supply chain risk and inventory insights via anomaly detection, NLG summaries, and stakeholder-friendly dashboards.”
Ramya Latha
Senior AI/ML & Data Engineer specializing in Generative AI and RAG systems
“GenAI/RAG engineer who has deployed a production policy/regulatory search assistant for a financial client using LangChain + Vertex AI, FastAPI, Docker/Kubernetes, and Airflow-orchestrated data pipelines. Demonstrated measurable impact with 50–60% latency reduction and 70% fewer pipeline failures, plus KPI-driven grounding evaluation (90%+ target) and strong cross-functional collaboration with compliance/business teams.”
Junior Data Scientist specializing in machine learning and reinforcement learning
Mid-level AI/ML Engineer specializing in risk modeling, NLP, and generative AI (RAG/LLMs)
Mid-level Data Analyst specializing in banking analytics and machine learning
Mid-level AI/ML Engineer specializing in NLP, recommender systems, and Generative AI
Mid-level AI/Data Scientist specializing in NLP, RAG chatbots, and GenAI on AWS
Junior Data Analyst specializing in operational and product analytics
Intern Data Analyst specializing in product, marketing, and business analytics
Mid-level AI/ML Engineer specializing in scalable ML, NLP, and time-series forecasting
Mid-level AI/ML Engineer specializing in LLMs, RAG systems, and MLOps