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I am a data science professional specializing in building and deploying Generative AI solutions for banking, healthcare, and retail. I design end-to-end ML pipelines, implement MLOps, and deliver explainable AI with SHAP, counterfactual reasoning, and drift monitoring, collaborating with Risk, Audit, and Compliance teams to drive regulatory-ready insights. I leverage models like LLaMA-2, GPT-4 Turbo, and Claude-3 in secure environments, build retrieval-based search systems over thousands of documents, and create stakeholder-friendly dashboards to accelerate decision-making.…I am a data science professional specializing in building and deploying Generative AI solutions for banking, healthcare, and retail. I design end-to-end ML pipelines, implement MLOps, and deliver explainable AI with SHAP, counterfactual reasoning, and drift monitoring, collaborating with Risk, Audit, and Compliance teams to drive regulatory-ready insights. I leverage models like LLaMA-2, GPT-4 Turbo, and Claude-3 in secure environments, build retrieval-based search systems over thousands of documents, and create stakeholder-friendly dashboards to accelerate decision-making.

Mounika Vadthya

Data Scientist, AI Engineer, AI Developer, +2

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I am a data science professional specializing in building and deploying Generative AI solutions for banking, healthcare, and retail. I design end-to-end ML pipelines, implement MLOps, and deliver explainable AI with SHAP, counterfactual reasoning, and drift monitoring, collaborating with Risk, Audit, and Compliance teams to drive regulatory-ready insights. I leverage models like LLaMA-2, GPT-4 Turbo, and Claude-3 in secure environments, build retrieval-based search systems over thousands of documents, and create stakeholder-friendly dashboards to accelerate decision-making.…I am a data science professional specializing in building and deploying Generative AI solutions for banking, healthcare, and retail. I design end-to-end ML pipelines, implement MLOps, and deliver explainable AI with SHAP, counterfactual reasoning, and drift monitoring, collaborating with Risk, Audit, and Compliance teams to drive regulatory-ready insights. I leverage models like LLaMA-2, GPT-4 Turbo, and Claude-3 in secure environments, build retrieval-based search systems over thousands of documents, and create stakeholder-friendly dashboards to accelerate decision-making.

Available to hire

I am a data science professional specializing in building and deploying Generative AI solutions for banking, healthcare, and retail. I design end-to-end ML pipelines, implement MLOps, and deliver explainable AI with SHAP, counterfactual reasoning, and drift monitoring, collaborating with Risk, Audit, and Compliance teams to drive regulatory-ready insights.

I leverage models like LLaMA-2, GPT-4 Turbo, and Claude-3 in secure environments, build retrieval-based search systems over thousands of documents, and create stakeholder-friendly dashboards to accelerate decision-making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Senior Data Scientist at Southside Bank

October 1, 2023 - Present

Designed Generative AI copilots for banking compliance using LLaMA-2, Falcon-40B, and GPT-4 Turbo on secure anonymized datasets; automated 75% of AML transaction reviews and reduced SAR filing latency by 40%. Built Retrieval-Augmented Generation (RAG) pipelines with OpenAI GPT-4 and Pinecone for real-time search across 50K+ compliance documents; developed KYC automation with OCR to accelerate onboarding. Created fraud-narrative generators and GenAI-powered multilingual customer support chatbots; established ML pipelines with automated retraining and drift monitoring; and delivered dashboards for governance and regulatory readiness.

Data Scientist at Mayo Clinic

September 1, 2023 - October 24, 2025

Engineered clinical text classification pipelines using BioBERT, ClinicalBERT, and RoBERTa on 5M+ de-identified EHR notes, achieving 93% F1 for ICD-10 and SNOMED coding. Developed custom NER models with spaCy and Transformers to extract diagnoses, medications, and procedures, improving entity-linking accuracy by 24%. Built multimodal fusion models combining clinical embeddings with labs and vitals, improving sepsis prediction AUC from 0.81 to 0.89. Implemented HIPAA-de-identification with BiLSTM-CRF and BERT embeddings; created adverse event detection and 12-month readmission risk forecasting; performed transfer learning for trial eligibility matching; integrated sentiment analysis for patient-reported outcomes; built a clinical QA engine using RAG over drug labels and guidelines. Established MLOps with MLflow and Kubeflow; deployed dashboards in Power BI.

Data Scientist at Kroger

June 1, 2020 - October 24, 2025

Built demand forecasting models using ARIMA, Prophet, and LSTM; improved forecast accuracy by 19%. Developed customer segmentation with K-Means, DBSCAN, and Gaussian Mixture Models; implemented collaborative filtering and matrix factorization for recommendations, enhanced with Neural Collaborative Filtering to boost CTR by 14%. Created churn models with Logistic Regression, XGBoost, and LightGBM; built CNN-based image classifiers to auto-tag attributes; modeled price elasticity for dynamic pricing; developed stock-out predictions reducing missed sales by 22%. Built propensity models for coupon redemption; created ensemble models for basket value; delivered dashboards in Power BI/Tableau; conducted A/B tests to optimize campaigns.