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I'm Jaysheela Doddy, a data scientist and GenAI engineer with 3+ years of hands-on experience delivering ML, AI, and analytics solutions across banking, insurance, and analytics domains. I enjoy turning complex business problems into data-driven models, building predictive analytics, and leveraging Generative AI to automate knowledge work. I excel at collaborating with cross-functional teams to deploy end-to-end ML workflows on AWS and cloud platforms, optimize NLP pipelines, and ship reliable, auditable AI solutions with governance and regulatory compliance in mind.…I'm Jaysheela Doddy, a data scientist and GenAI engineer with 3+ years of hands-on experience delivering ML, AI, and analytics solutions across banking, insurance, and analytics domains. I enjoy turning complex business problems into data-driven models, building predictive analytics, and leveraging Generative AI to automate knowledge work. I excel at collaborating with cross-functional teams to deploy end-to-end ML workflows on AWS and cloud platforms, optimize NLP pipelines, and ship reliable, auditable AI solutions with governance and regulatory compliance in mind.

Jaysheela Doddy

Data Scientist, AI Engineer, AI Developer, +2

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I'm Jaysheela Doddy, a data scientist and GenAI engineer with 3+ years of hands-on experience delivering ML, AI, and analytics solutions across banking, insurance, and analytics domains. I enjoy turning complex business problems into data-driven models, building predictive analytics, and leveraging Generative AI to automate knowledge work. I excel at collaborating with cross-functional teams to deploy end-to-end ML workflows on AWS and cloud platforms, optimize NLP pipelines, and ship reliable, auditable AI solutions with governance and regulatory compliance in mind.…I'm Jaysheela Doddy, a data scientist and GenAI engineer with 3+ years of hands-on experience delivering ML, AI, and analytics solutions across banking, insurance, and analytics domains. I enjoy turning complex business problems into data-driven models, building predictive analytics, and leveraging Generative AI to automate knowledge work. I excel at collaborating with cross-functional teams to deploy end-to-end ML workflows on AWS and cloud platforms, optimize NLP pipelines, and ship reliable, auditable AI solutions with governance and regulatory compliance in mind.

Available to hire

I’m Jaysheela Doddy, a data scientist and GenAI engineer with 3+ years of hands-on experience delivering ML, AI, and analytics solutions across banking, insurance, and analytics domains. I enjoy turning complex business problems into data-driven models, building predictive analytics, and leveraging Generative AI to automate knowledge work.

I excel at collaborating with cross-functional teams to deploy end-to-end ML workflows on AWS and cloud platforms, optimize NLP pipelines, and ship reliable, auditable AI solutions with governance and regulatory compliance in mind.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Work Experience

Gen AI Engineer | Data Scientist at Combined Insurance

September 1, 2024 - Present

Supported the development and maintenance of ETL pipelines using Apache Airflow to transform raw customer and transaction data into analytics-ready datasets for credit scoring, fraud detection, and risk analysis. Developed and tested Generative AI and LLM-based models using Python, NLP/NLU techniques, and cloud platforms to support financial analytics and automation. Enhanced NLP models for an AI chatbot by incorporating banking terminology to improve intent detection and response relevance. Built end-to-end ML workflows for credit risk assessment, fraud propensity scoring, and churn prediction, including retrieval-based techniques (RAG) for document processing. Wrote optimized SQL queries to support dashboards and reports for loan approvals, CLV, revenue trends, and portfolio analysis. Collaborated with LangChain to support LLM integration and prompt workflows. Ensured data governance and GDPR/PCI-DSS compliance, security, and QA of dashboards on Tableau Server. Contributed to deploym

AI/ML Engineer | Data Scientist at Providence Bank

January 1, 2024 - August 31, 2024

Developed and deployed AI/ML and data-driven solutions in an Agile environment. Built and tested LLM-based workflows using GPT models and Retrieval-Augmented Generation (RAG) to automate insights and decision-making. Created a Generative AI chatbot to automate routine customer inquiries, improving response times. Performed data cleaning/ preprocessing with Pandas and NumPy, and conducted univariate/multivariate EDA to identify trends. Built a Decision Tree model using Google Analytics data to analyze customer activity and support behavior-based recommendations. Developed a classification model to detect clickbait content using scikit-learn and TensorFlow. Implemented Python programs for performance calculations and data processing with NumPy and SQLAlchemy. Supported an analytics initiative focusing on manufacturing cost reduction, analyzing part-cleaning frequency and selecting components for sampling. Fine-tuned BERT-based language models for sentiment analysis, text classification,

Data Scientist at BIZACUITY SOLUTIONS PRIVATE LIMITED

June 1, 2021 - December 31, 2022

Applied Python-based data analysis and ML libraries (Pandas, NumPy, SciPy, Matplotlib, Seaborn, scikit-learn, and NLTK) to analyze datasets and build predictive models. Implemented algorithms including Linear/Multivariate Regression, Naive Bayes, Random Forest, K-Means, and KNN. Used PyTorch during research to evaluate deep learning approaches before production. Developed and maintained data ingestion/transformation pipelines using Apache Spark to process large-scale claims data for risk assessment and fraud analysis. Built cloud-based storage solutions using AWS S3 and DynamoDB. Collaborated with sales, marketing, and engineering teams to translate business requirements into ML solutions. Fine-tuned BERT-based NLP models for sentiment analysis, text classification, and NER, integrating NLTK into processing workflows. Built and trained deep learning models with TensorFlow and PyTorch for NLP and image tasks. Implemented automated notifications via AWS SNS to inform claim status updates