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I am a Senior Data Scientist with 11+ years of experience delivering enterprise AI, ML, NLP, and automation solutions across healthcare, finance, retail, telecom, media, and public sector. I design scalable cloud-native data platforms, predictive analytics, intelligent automation, and large-language model–driven workflows that turn complex data into actionable business outcomes. My work spans building production ML models, conversational AI, and knowledge retrieval systems using modern frameworks and tools. I enjoy turning raw data into clear, business-ready insights and leading cross-functional teams to deliver measurable impact. I thrive in collaborative environments, translating business needs into practical analytics and AI strategies. I champion responsible AI with explainability and governance, mentor junior data scientists, and help shape data-driven decisions that improve revenue, efficiency, and customer experience. My mindset blends technical depth with pragmatic communication and a passion for continuous learning.…I am a Senior Data Scientist with 11+ years of experience delivering enterprise AI, ML, NLP, and automation solutions across healthcare, finance, retail, telecom, media, and public sector. I design scalable cloud-native data platforms, predictive analytics, intelligent automation, and large-language model–driven workflows that turn complex data into actionable business outcomes. My work spans building production ML models, conversational AI, and knowledge retrieval systems using modern frameworks and tools. I enjoy turning raw data into clear, business-ready insights and leading cross-functional teams to deliver measurable impact. I thrive in collaborative environments, translating business needs into practical analytics and AI strategies. I champion responsible AI with explainability and governance, mentor junior data scientists, and help shape data-driven decisions that improve revenue, efficiency, and customer experience. My mindset blends technical depth with pragmatic communication and a passion for continuous learning.

Rasmitha Dasari

Data Scientist, AI Engineer, AI Developer, +2

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I am a Senior Data Scientist with 11+ years of experience delivering enterprise AI, ML, NLP, and automation solutions across healthcare, finance, retail, telecom, media, and public sector. I design scalable cloud-native data platforms, predictive analytics, intelligent automation, and large-language model–driven workflows that turn complex data into actionable business outcomes. My work spans building production ML models, conversational AI, and knowledge retrieval systems using modern frameworks and tools. I enjoy turning raw data into clear, business-ready insights and leading cross-functional teams to deliver measurable impact. I thrive in collaborative environments, translating business needs into practical analytics and AI strategies. I champion responsible AI with explainability and governance, mentor junior data scientists, and help shape data-driven decisions that improve revenue, efficiency, and customer experience. My mindset blends technical depth with pragmatic communication and a passion for continuous learning.…I am a Senior Data Scientist with 11+ years of experience delivering enterprise AI, ML, NLP, and automation solutions across healthcare, finance, retail, telecom, media, and public sector. I design scalable cloud-native data platforms, predictive analytics, intelligent automation, and large-language model–driven workflows that turn complex data into actionable business outcomes. My work spans building production ML models, conversational AI, and knowledge retrieval systems using modern frameworks and tools. I enjoy turning raw data into clear, business-ready insights and leading cross-functional teams to deliver measurable impact. I thrive in collaborative environments, translating business needs into practical analytics and AI strategies. I champion responsible AI with explainability and governance, mentor junior data scientists, and help shape data-driven decisions that improve revenue, efficiency, and customer experience. My mindset blends technical depth with pragmatic communication and a passion for continuous learning.

Available to hire

I am a Senior Data Scientist with 11+ years of experience delivering enterprise AI, ML, NLP, and automation solutions across healthcare, finance, retail, telecom, media, and public sector. I design scalable cloud-native data platforms, predictive analytics, intelligent automation, and large-language model–driven workflows that turn complex data into actionable business outcomes. My work spans building production ML models, conversational AI, and knowledge retrieval systems using modern frameworks and tools. I enjoy turning raw data into clear, business-ready insights and leading cross-functional teams to deliver measurable impact.

I thrive in collaborative environments, translating business needs into practical analytics and AI strategies. I champion responsible AI with explainability and governance, mentor junior data scientists, and help shape data-driven decisions that improve revenue, efficiency, and customer experience. My mindset blends technical depth with pragmatic communication and a passion for continuous learning.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Data Scientist at Adobe

May 1, 2023 - Present

Led an end-to-end data science program focused on healthcare sales effectiveness, customer engagement analytics, and clinical insights. Designed scalable analytics on AWS supporting revenue growth and compliant decision-making across multiple business units. Implemented causal inference (uplift modeling) to measure campaign impact; built time-series forecasts for sales, prescriptions, and engagement; developed RBQM frameworks for quality oversight; experimented with Bedrock for GenAI-assisted insights; integrated GenAI summaries into dashboards; built MLOps pipelines with MLflow, GitHub Actions, Docker, and Kubernetes; developed NLP pipelines to extract insights from unstructured health data; built LSTM-based time-series models; applied SHAP/LIME explainability; enabled responsible AI governance; delivered dashboards in Tableau/Power BI; mentored junior data scientists.

ML Engineer at Capital One

October 1, 2021 - April 1, 2023

Worked on an enterprise-scale ML platform focusing on legal risk scoring, healthcare claims analytics, litigation forecasting, fraud detection, and compliance monitoring using Azure-based ML solutions for regulatory risk management. Built supervised models (Logistic Regression, Decision Trees, Random Forest, XGBoost), applied advanced feature engineering, developed uplift modeling and causal inference for engagement and compliance initiatives, built anomaly detection, and deployed end-to-end Azure ML pipelines. Also applied NLP to extract insights from legal documents and implemented SHAP/LIME explainability to improve model transparency.

Conversational AI Engineer at Novartis

December 1, 2018 - September 1, 2021

Designed and deployed enterprise-grade conversational AI platforms, intelligent virtual assistants, chatbot ecosystems, and NLP-driven automation using Python, Dialogflow, Rasa, and AWS Lex. Built back-end APIs with Flask, FastAPI, and Django REST Framework; integrated AWS services (EC2, Lambda, S3, API Gateway, DynamoDB, SageMaker) for scalable deployment; developed NLP models for intent detection, NER, sentiment analysis, and contextual response generation; implemented semantic search, document similarity, OCR-based ingestion, and LSTM-based context prediction. Deployed models with monitoring, SHAP/LIME explainability, and ensured governance for production use.

Python Developer at T-Mobile

March 1, 2017 - November 1, 2018

Backend enterprise applications, REST APIs, and data processing utilities using Python. Built services with Flask and Django REST Framework; integrated SOAP/REST APIs; automated data processing with Pandas, NumPy, and PySpark; optimized SQL queries and database interactions; implemented API authentication and security; designed and documented APIs; collaborated with cross-functional teams to deliver scalable backend solutions and automation utilities.

Data Analyst at Abercrombie & Fitch Co.

March 1, 2015 - February 1, 2017

Marketing and e-commerce analytics focusing on customer behavior, sales performance, and campaign effectiveness. Performed segmentation, sales and demand trend analysis, and market basket analysis. Designed and maintained ETL pipelines using Hadoop, Hive, and Spark; automated recurring workflows with Oozie and Airflow; built REST APIs with Flask; created data marts and dashboards (Tableau/Power BI) to track KPIs and campaign performance; ensured data quality and supported cross-functional decision-making.