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I am an AI/ML-focused Data Scientist with 9+ years of experience delivering intelligent systems and data-driven solutions across financial services, telecom, customer service, and healthcare. I specialize in machine learning, NLP, generative AI, and cloud-based deployments with AWS, GCP, and Azure. I design, fine-tune, and deploy LLMs (GPT, LLaMA, Mistral, Gemini), build conversational AI and RAG systems, and drive predictive analytics with scalable data pipelines and MLOps for business impact.…I am an AI/ML-focused Data Scientist with 9+ years of experience delivering intelligent systems and data-driven solutions across financial services, telecom, customer service, and healthcare. I specialize in machine learning, NLP, generative AI, and cloud-based deployments with AWS, GCP, and Azure. I design, fine-tune, and deploy LLMs (GPT, LLaMA, Mistral, Gemini), build conversational AI and RAG systems, and drive predictive analytics with scalable data pipelines and MLOps for business impact.

Arundhati Bidwe

Data Scientist, AI Engineer, Full Stack Developer, +1

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I am an AI/ML-focused Data Scientist with 9+ years of experience delivering intelligent systems and data-driven solutions across financial services, telecom, customer service, and healthcare. I specialize in machine learning, NLP, generative AI, and cloud-based deployments with AWS, GCP, and Azure. I design, fine-tune, and deploy LLMs (GPT, LLaMA, Mistral, Gemini), build conversational AI and RAG systems, and drive predictive analytics with scalable data pipelines and MLOps for business impact.…I am an AI/ML-focused Data Scientist with 9+ years of experience delivering intelligent systems and data-driven solutions across financial services, telecom, customer service, and healthcare. I specialize in machine learning, NLP, generative AI, and cloud-based deployments with AWS, GCP, and Azure. I design, fine-tune, and deploy LLMs (GPT, LLaMA, Mistral, Gemini), build conversational AI and RAG systems, and drive predictive analytics with scalable data pipelines and MLOps for business impact.

Available to hire

I am an AI/ML-focused Data Scientist with 9+ years of experience delivering intelligent systems and data-driven solutions across financial services, telecom, customer service, and healthcare. I specialize in machine learning, NLP, generative AI, and cloud-based deployments with AWS, GCP, and Azure. I design, fine-tune, and deploy LLMs (GPT, LLaMA, Mistral, Gemini), build conversational AI and RAG systems, and drive predictive analytics with scalable data pipelines and MLOps for business impact.

Skills

Experience Level

Expert

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Expert

Work Experience

Data Scientist at NICE

December 1, 2023 - November 5, 2025

Designed and deployed LLM-powered banking, customer service, and sales AI systems using GPT, Gemini, and LLaMA. Built conversational AI & intelligent agents using Rasa, LangChain, and OpenAI APIs, enabling virtual assistants and text-to-SQL solutions. Led PoC initiatives, documented requirements, and transitioned PoCs into full-scale implementations. Designed and optimized data ingestion pipelines for structured and unstructured data, boosting AI system performance. Managed end-to-end AI/ML model lifecycles including orchestration, evaluation metrics, and CI/CD. Developed retrieval-augmented generation (RAG) systems, advanced prompt engineering (ReAct, CoT, Iterative), and chatbot fallbacks. Integrated Vertex AI and AWS SageMaker for scalable deployment and monitoring. Delivered GenAI solutions such as PDF summarization, invoice extraction, and healthcare assistants. Built cloud-native IoT solutions with Flask, MQTT, AWS IoT Core, DynamoDB, EC2, and React. Automated CI/CD pipelines wit

Data Scientist at Cisco

December 1, 2023 - December 1, 2023

Built anomaly detection models on Google Cloud AI Platform using logistic regression, random forests, and gradient boosting; deployed models on Google Cloud Functions and Cloud Run for real-time network monitoring insights. Created dynamic dashboards in Google Data Studio to visualize anomaly patterns and operational metrics. Developed and tuned Generative AI models for conversational agents and content generation; constructed modular NLP pipelines with LangChain integrating multiple generative AI tools.

Data Scientist at Apple Inc.

August 1, 2023 - August 1, 2023

Built NLP models with Hugging Face pipelines achieving 98% classification accuracy and 95% NER precision. Designed LLM-powered retrieval systems with LlamaIndex & LangChain, improving query efficiency. Implemented RAG systems enhancing retrieval accuracy. Integrated Azure OpenAI & AI Search to cut costs and improve document retrieval. Deployed containerized AI apps with Docker & Azure Kubernetes Service, handling 500K+ API requests daily with 99.9% uptime. Developed voice-enabled bots for IVR banking features, reducing customer service workload.

Python Developer at Avinash Bidwe Designs

July 1, 2022 - July 1, 2022

Developed BERT-based summarization system processing 100,000+ news articles (ROUGE 0.75). Deployed models on AWS SageMaker with BlazingText for training and hosting. Simulated ETL pipelines using Python to replicate SSIS workflows, automating cross-source data integration. Built interactive dashboards in Power BI with GCP integration (BigQuery, Cloud Storage). Engineered ocean forecasting models using AWS EMR & SageMaker on geospatial satellite data.

Software Developer at Get Set Go

April 1, 2018 - April 1, 2018

Developed internal ML-powered tools for campaign segmentation and reporting. Built RESTful services and dashboards integrated with backend data pipelines. Developed ML-powered customer segmentation models in Python to classify users by demographics and purchase history. Wrote complex SQL queries to extract, clean, and aggregate customer interaction data. Applied K-Means clustering to group customers into behavior-based segments for campaign targeting. Built RESTful services in Flask to expose segmentation results for downstream marketing applications. Designed ETL pipelines using Spark to process large volumes of raw transactional data. Created Power BI dashboards to visualize campaign conversion and engagement metrics. Automated recurring campaign segmentation workflows using Python scripts, reducing manual effort by 30%.