Divya Laxmi Yedanpuri
Data Scientist Genai Engineer @ElevenLabs
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WORK HISTORY
Data Scientist Genai Engineer @ElevenLabs
At Eleven Labs, I work across both Data Science and Generative AI domains, supporting financial analytics teams while contributing to the company’s AI-driven audio technology.Detailed ResponsibilitiesDesigned automated pipelines for data validation, cleansing, anomaly detection, and standardization, increasing data reliability for revenue forecasting and financial reporting.Built reusable data models and analytical frameworks to track KPIs such as sales velocity, pipeline health, conversion funnels, and win/loss performance, enabling leadership to make data-backed decisions.Developed interactive BI dashboards (Power BI / internal tools) providing real-time visibility into GTM performance, revenue trends, cohort retention, and operational metrics.Conducted deep-dives into lead behavior, pipeline coverage, churn indicators, and GTM efficiency to support strategy for RevOps and Finance teams.Collaborated closely with RevOps, GTM, Product, and Engineering, translating complex requirements into actionable analytics and ML solutions.Designed large-scale data processing pipelines (Python, SQL, dbt) to support both analytics and machine-learning workflows.Worked on generative audio and voice synthesis models, contributing to model training, evaluation, and production deployment.Implemented automated pipelines for ingesting and pre-processing large unstructured datasets used for text-to-speech model improvement.Experimented with LLM-centric frameworks (LangChain, LlamaIndex) to prototype context-aware AI assistants and internal productivity tools.
EDUCATION
University of North Texas
Master's degree Business Analyst
Anurag Group of Institutions
Bachelor of Commerce - BCom
ABOUT DIVYA LAXMI YEDANPURI
I am a Data Scientist & Generative AI Engineer with over a decade of experience designing and deploying AI, NLP, and machine learning solutions for global enterprises. I build production-ready LLM applications, RAG systems, and scalable end-to-end data pipelines that deliver measurable business impact.My expertise includes:LLM fine-tuning (GPT, LLaMA, Falcon, BERT) and prompt engineeringRetrieval-Augmented Generation (RAG) with FAISS & PineconeEnd-to-end data pipelines using Python, SQL, Spark & dbtCloud-native deployments (AWS, GCP, Azure), Docker, Kubernetes, MLflowBI dashboards & analytics (Power BI, Tableau)I enjoy turning complex AI research into reliable products—improving automation, shortening time-to-insight, and enhancing user experiences. I work cross-functionally with product, engineering, RevOps, and finance teams to align ML solutions with business goals.
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