Senior Data Scientist - NLP, ML, Healthcare Analytics

Harsha Bandi

Email: **************@*****.*** Mobile: 940-***-****

SKILLS

Programming Languages: Python, R, Java, SQL, C++, Scala, JavaScript, TypeScript

Machine Learning Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, HuggingFace, MXNet, Caffe, Theano

Natural Language Processing: NLP, Text Classification, Named Entity Recognition, Sentiment Analysis, Tokenization, Word Embeddings, Transformers, LLMs

Deep Learning: Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial Networks, Transfer Learning, Model Optimization, Hyperparameter Tuning, Model Evaluation

Cloud Platforms: AWS, Azure, Google Cloud Platform, EC2, S3, Lambda, SageMaker, Azure ML

Data Engineering: Data Pipelines, ETL Processes, Data Warehousing, SQL, NoSQL, Apache Spark, Apache Kafka, Data Lakes

Healthcare Knowledge: Clinical Data Analysis, Claims Processing, Healthcare Data Standards, HIPAA Compliance, Patient Data Management, Medical Coding, Healthcare Analytics, Population Health

Model Evaluation: Performance Metrics, A/B Testing, Regression Testing, Benchmarking, Model Validation, Error Analysis, Quality Assurance, Automated Testing

Soft Skills: Communication, Problem-Solving, Team Collaboration, Adaptability, Critical Thinking, Time Management, Stakeholder Engagement, Leadership

Project Management: Agile Methodologies, Scrum, Kanban, Project Planning, Risk Management, Resource Allocation, Documentation, Performance Tracking

WORK EXPERIENCE

Experian - Allen, TX

Senior Data Scientist - Jan 2025 to Present

Spearheaded development and optimization of Large Language Models (LLMs) using Python and TensorFlow, enhancing predictive accuracy by 30% in healthcare data analysis.

Collaborated with cross-functional engineering and product teams to design and implement AI features, resulting in a 25% reduction in deployment time for new functionalities.

Developed high-quality prompts and training examples to shape model behavior, leveraging HuggingFace tools to improve model performance and user experience.

Analyzed model performance metrics, identifying failure patterns and implementing solutions that reduced hallucination rates by 15% in AI outputs.

Established automated evaluation and regression testing pipelines for AI systems, ensuring consistent reliability and quality of model outputs.

Designed and maintained training pipelines and datasets, streamlining workflows that improved processing efficiency by 40%.

Conducted functional testing and validation of AI outputs, enhancing system behavior and user satisfaction through rigorous quality assurance processes.

Mentored junior data scientists on best practices in machine learning and deep learning, fostering a collaborative learning environment.

Presented technical documentation and evaluation artifacts to stakeholders, enhancing communication and transparency in project progress.

Contributed to the ongoing maintenance and improvement of existing AI systems, ensuring alignment with evolving healthcare data requirements.

Technologies Used: Python, TensorFlow, HuggingFace, AWS, LLMs, PyTorch, SQL, Azure, Databricks, Machine Learning, NLP, Deep Learning, CI/CD, Git, Docker, Kubernetes

Target Corporation - Minneapolis, MN

Data Scientist II - Nov 2023 to Dec 2024

Engineered machine learning models for predictive analytics, utilizing Python and AWS to enhance data-driven decision-making processes across the organization.

Collaborated with product teams to deploy AI features, resulting in a 20% increase in customer engagement through personalized recommendations.

Developed and optimized training datasets for LLMs, improving model accuracy and reducing processing time by 35%.

Conducted comprehensive analysis of model performance, identifying and addressing accuracy gaps to enhance reliability and consistency of AI outputs.

Designed automated testing frameworks for evaluating AI system performance, ensuring robust validation of model behavior in production environments.

Facilitated workshops on machine learning best practices, enhancing team capabilities and fostering a culture of continuous improvement.

Authored technical documentation and evaluation reports, improving stakeholder communication and project transparency.

Implemented data visualization techniques to present insights, driving strategic initiatives based on analytical findings.

Assisted in the integration of AI features into existing systems, optimizing workflows and enhancing operational efficiency.

Engaged in cross-departmental collaboration to align AI strategies with business objectives, resulting in improved project outcomes.

Technologies Used: Python, AWS, Machine Learning, LLMs, SQL, Tableau, Git, Docker, CI/CD, TensorFlow, PyTorch, NLP, Data Visualization, Agile, Jupyter

Liberty Mutual Insurance - Chennai, India

AI & ML Engineer - Jan 2022 to Jul 2023

Developed and fine-tuned deep learning models for insurance claims processing, utilizing Python and TensorFlow to enhance operational efficiency.

Collaborated with engineering teams to implement AI-driven solutions, resulting in a 30% reduction in claims processing time.

Designed and maintained training pipelines for LLMs, ensuring high-quality datasets and streamlined workflows for model training.

Analyzed model performance and reliability, identifying failure patterns and implementing improvements that boosted accuracy by 25%.

Created automated evaluation and regression testing frameworks for AI systems, ensuring consistent quality and reliability of outputs.

Engaged in cross-functional collaboration to align AI initiatives with business goals, enhancing project impact and stakeholder satisfaction.

Presented findings and technical documentation to stakeholders, improving communication and understanding of AI capabilities.

Mentored junior engineers and data scientists, fostering a collaborative and innovative team environment.

Contributed to the ongoing improvement of existing AI systems, ensuring alignment with industry best practices and regulatory requirements.

Participated in agile ceremonies, enhancing team collaboration and project management efficiency.

Technologies Used: Python, TensorFlow, AWS, LLMs, SQL, Git, Docker, CI/CD, Machine Learning, Deep Learning, NLP, Agile, Jupyter, Data Pipelines

Wayfair - Bengaluru, India

Data Scientist - May 2020 to Dec 2022

Developed machine learning models for e-commerce analytics, utilizing Python and SQL to drive data-informed decision-making across the organization.

Collaborated with product and engineering teams to deploy AI features, resulting in a 15% increase in sales through personalized customer experiences.

Designed and maintained datasets for training models, optimizing data quality and processing efficiency by 20%.

Conducted performance analysis of models, identifying and addressing accuracy gaps to enhance reliability and user satisfaction.

Implemented automated testing frameworks for evaluating AI outputs, ensuring consistent quality and performance in production environments.

Facilitated training sessions on machine learning methodologies, enhancing team skills and fostering a culture of innovation.

Authored technical documentation and evaluation reports, improving stakeholder communication and project transparency.

Engaged in cross-departmental collaboration to align AI strategies with business objectives, resulting in improved project outcomes.

Contributed to the ongoing maintenance and improvement of existing AI systems, ensuring alignment with evolving business needs.

Participated in agile methodologies, enhancing team collaboration and project management efficiency.

Technologies Used: Python, SQL, Machine Learning, AWS, Git, Docker, CI/CD, Data Visualization, Agile, TensorFlow, Jupyter, NLP, Deep Learning, Tableau

CERTIFICATIONS

Microsoft Certified: Azure AI Engineer Associate (AI-102)

Microsoft Certified: Azure Data Scientist Associate (DP-100)

Databricks Certified Machine Learning Professional

AWS Certified Machine Learning - Specialty

EDUCATION

Master’s in Computers and Information Science University of North Texas 4.0 GPA

Bachelor’s in Computer Science and Engineering (IoT Specialization) JAIN Deemed-to-be University 95%

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