Krishna Jillelamudi
Data Scientist
Waltham, US.About
Impact-driven Data Scientist and Analyst with expertise in AI/ML, MLOps, and analytics across healthcare, telecom, and education, adept at transforming complex data into actionable insights. Proven ability to design and deploy scalable deep learning and generative AI solutions, optimize data pipelines, and drive significant improvements in operational efficiency and user engagement. Passionate about leveraging data at scale to deliver personalized solutions and foster innovation.
Work
Verizon
|Data Scientist
Waltham, MA, US
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Summary
Led the design and deployment of end-to-end MLOps pipelines for 20+ machine learning models, significantly enhancing system resilience and reducing deployment time.
Highlights
Designed and deployed end-to-end MLOps pipelines (Jenkins, Airflow, GCP) supporting 20+ ML models, reducing deployment time by 40% and improving system resilience across environments.
Led A/B testing and incremental rollout of personalization models using KPI monitoring, driving a 12% increase in model-driven user engagement.
Built SHAP-integrated observability layers and implemented post-deployment XAI workflows, reducing model investigation time by 35% during incident response.
Processed and analyzed terabyte-scale customer behavior data using PySpark on Dataproc, optimizing Spark job performance by 50% in high-traffic pipelines.
Wrote complex, production-grade SQL for customer segmentation and churn feature engineering, accelerating analytics turnaround by 3x for cross-functional data consumers.
Indiana University Bloomington
|Graduate Research and Teaching Assistant
Bloomington, IN, US
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Summary
Co-led machine learning course development, conducted civic data analysis, and evaluated nonprofit grant flows to inform equity decisions and funding proposals.
Highlights
Co-led research and course development for CSCI-B455: Principles of Machine Learning, teaching 80+ undergraduate students in advanced ML concepts.
Built Tableau dashboards with ArcGIS integration for 900+ civic organizations, informing infrastructure equity decisions in Indiana municipalities.
Led network analysis of $100M+ grant flows for nonprofit impact evaluation, identifying state-level bias and influencing three academic funding proposals.
Tata Consultancy Services
|System Engineer
Remote, Remote, US
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Summary
Engineered Azure Data Factory flows for TB-scale mainframe data migration and HIPAA-compliant data orchestration, significantly reducing operational costs and ensuring data integrity.
Highlights
Built Azure Data Factory flows for TB-scale mainframe data migration, cutting load window by 6 hours and achieving a 4-hour nightly SLA.
Delivered HIPAA-compliant data orchestration workflows for claims processing, driving a 40% operational cost reduction post-migration.
Facilitated multi-team collaboration during mainframe-to-cloud modernization, ensuring continuity and secure data lineage tracking.
Volunteer
Omdena
|Data Scientist (Volunteer)
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Summary
Developed and deployed AI/ML models and LLM solutions for social impact projects, improving prediction accuracy and user experience.
Highlights
Developed climate and credit risk scoring models using tree-based ensembles and logistic regression, improving prediction accuracy by 20% through careful feature selection.
Designed and deployed a multilingual LLM-powered travel advisory chatbot (LLaMA 3-70B + Groq API), decreasing response latency by 30% and boosting user satisfaction.
Education
Indiana University Bloomington
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Master of Science
Computer Science
Skills
Programming
Python, SQL, R, Java.
ML & Statistics
Scikit-learn, TensorFlow, Keras, SHAP, A/B testing, t-tests, ANOVA, Chi-square.
Data Engineering
Airflow, BigQuery, Dataproc, Azure Data Factory, Docker, Terraform, Jenkins, GCP, Spark.
Visualization
Tableau, Power BI, Looker Studio, Grafana, ArcGIS.
Collaboration
Agile, Stakeholder Management, Cross-functional Leadership, Cross-team Coordination, Presentation & Storytelling.