Hi, I'm Prashanth Boddhireddy, an experienced and innovative Data Science and Machine Learning Leader with a passion for building and scaling AI solutions across various industries like telecom, media, healthcare, and life sciences. I specialize in developing advanced NLP and large language models, predictive analytics, and MLOps with hands-on expertise in cloud platforms like Azure, AWS, and GCP. I enjoy leading cross-functional teams to architect end-to-end ML pipelines and deliver production-grade systems that create tangible business impact. I am particularly passionate about ethical and explainable AI, ensuring AI strategies align with organizational goals while driving innovation and enhancing customer experience.

Prashanth Boddhireddy

Hi, I'm Prashanth Boddhireddy, an experienced and innovative Data Science and Machine Learning Leader with a passion for building and scaling AI solutions across various industries like telecom, media, healthcare, and life sciences. I specialize in developing advanced NLP and large language models, predictive analytics, and MLOps with hands-on expertise in cloud platforms like Azure, AWS, and GCP. I enjoy leading cross-functional teams to architect end-to-end ML pipelines and deliver production-grade systems that create tangible business impact. I am particularly passionate about ethical and explainable AI, ensuring AI strategies align with organizational goals while driving innovation and enhancing customer experience.

Available to hire

Hi, I’m Prashanth Boddhireddy, an experienced and innovative Data Science and Machine Learning Leader with a passion for building and scaling AI solutions across various industries like telecom, media, healthcare, and life sciences. I specialize in developing advanced NLP and large language models, predictive analytics, and MLOps with hands-on expertise in cloud platforms like Azure, AWS, and GCP.

I enjoy leading cross-functional teams to architect end-to-end ML pipelines and deliver production-grade systems that create tangible business impact. I am particularly passionate about ethical and explainable AI, ensuring AI strategies align with organizational goals while driving innovation and enhancing customer experience.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Work Experience

Director of Data Science & ML at Warner Bros. Discovery
April 1, 2022 - Present
Led the strategy, design, and deployment of large-scale ML and AI systems for streaming platforms. Architected a real-time content recommendation engine using deep learning and reinforcement learning, resulting in over 30% user engagement improvement. Directed development of behavioral segmentation models and deployed NLP pipelines for mining unstructured data. Modernized data science infrastructure via cloud-native ML platforms and implemented robust MLOps pipelines with CI/CD, model versioning, and real-time monitoring. Championed responsible AI practices and acted as a strategic advisor to senior leadership aligning AI investments with corporate goals.
Principal Data Scientist at AT&T
January 1, 2017 - Present
Designed scalable ML platforms for complex financial data addressing critical problems across finance, customer service, and operations. Led team mentoring and developed NLP solutions using transformer models for telecom use cases. Built automated pipelines to summarize call interactions with LLMs improving documentation and customer analysis. Simplified claim management achieving potential $20M savings. Automated analysis of promotional spend, developed classification models improving telecom operations, and deployed churn prediction influencing retention strategies. Managed ML pipelines on Azure covering end-to-end processes.
Machine Learning Scientist at Humana
January 1, 2017 - July 24, 2025
Contributed to predictive modeling for healthcare outcomes and patient risk stratification. Built and validated supervised learning models to predict hospital readmission and identify high-risk patients. Collaborated with cross-functional teams to preprocess EMR and claims data while ensuring regulatory compliance. Applied NLP on physician notes to enhance chronic disease prediction and developed scoring pipelines and monitoring dashboards to aid clinical teams.
Principal Machine Learning Scientist at Zoetis
October 1, 2016 - July 24, 2025
Directed ML solutions for veterinary diagnostics, treatment prediction, and disease surveillance. Developed predictive models using supervised, unsupervised, and time-series techniques. Built deep learning computer vision systems for automated detection of health issues from imaging. Architected cloud-based bioinformatics pipelines and collaborated with veterinary scientists for clinical alignment. Implemented cloud infrastructure with AWS, Docker, and Kubernetes. Mentored data scientists and aligned AI strategy with R&D and commercial goals.
Principal Scientist – AI & Data Science at Pfizer
May 1, 2013 - July 24, 2025
Applied ML, bioinformatics, and statistical modeling to accelerate drug discovery and preclinical research. Built predictive models on omics datasets for biomarker discovery and target identification. Led dose-response and toxicology modeling reducing time-to-decision. Integrated large-scale data sources for scalable analysis, applied unsupervised learning to identify biological patterns, and developed automated workflows for reproducibility. Collaborated with cross-functional teams and built visualization tools for scientific and executive stakeholders.
Research Assistant at Kansas State University
December 31, 2006 - July 24, 2025
Conducted research in computational biology and biostatistics focused on experimental design, multivariate analysis, and pattern recognition. Developed statistical models for genomics and metabolic pathways analysis. Collaborated on federally funded projects contributing to publications and presentations. Developed data preprocessing pipelines enabling efficient downstream analysis and guided research interpretation in genomics and disease modeling.

Education

Master of Science at Kansas State University
February 1, 2002 - December 31, 2006
Bachelor of Technology at SNIST, Jawaharlal Nehru Technological University
August 1, 1997 - May 31, 2001

Qualifications

Add your qualifications or awards here.

Industry Experience

Telecommunications, Media & Entertainment, Healthcare, Life Sciences, Financial Services