Raga Mamidipaka
San Jose,CA
Summary
Senior Data Scientist with 4+ years of experience across Marketing Mix Modeling (MMM), healthcare analytics, and AI-driven systems. Proven track record of leading end-to-end analytics initiatives, optimizing $10M+ budget allocations, and deploying scalable ML solutions in production. Strong expertise in Python, SQL, and cloud-native data platforms (GCP), with hands-on experience building and validating non-deterministic, agent-driven AI systems.
Overview
7
7
years of professional experience
Work History
AI Systems Engineer
Conscious Kites
San Jose, US
04.2025 - Current
- Built and validated autonomous AI agent systems at scale, focusing on behavioral correctness, constraint enforcement, and detection of silent failures in non-deterministic environments.
- Owned quality and behavioral correctness for agent-driven systems powering buyer–seller intelligence and digital persona generation in production.
- Designed behavior-based test frameworks to validate correctness, safety, and consistency across stochastic AI outputs rather than deterministic return values.
- Defined and enforced system invariants and constraints (logical validity, safety, consistency) to detect and prevent silent AI failures that did not surface as crashes.
- Built Python- and SQL-based analytics pipelines to monitor agent behavior at scale, identify behavioral drift, and surface subtle incorrect reasoning patterns.
- Validated agent reasoning paths—not just final outputs—especially for persona generation and buyer–seller matching decisions derived from ML and NLP pipelines.
- Partnered with engineering teams to implement guardrails and validation layers that blocked unsafe or logically invalid agent decisions from propagating downstream.
- Enabled teams to scale autonomous decision-making by reducing reliance on manual validation while maintaining trust in AI-driven workflows under uncertainty.
Data Scientist
JKG Solutions Inc
Houston, US
01.2024 - 04.2025
- Pioneered Marketing Mix Modeling (MMM) initiatives to evaluate ROI across patient outreach channels (SMS, telehealth), identifying 22% cost inefficiencies and reallocating $2.5M to high-impact campaigns, improving preventive care adherence by 27%.
- Integrated MMM insights with reinforcement learning models to optimize intervention timing, reducing outreach costs by 18% while increasing annual wellness visit completions by 14% across 200+ providers.
- Automated STARS model deployment using GCP Cloud Functions, achieving 92% precision in risk prediction and reducing CMS reporting cycles from 14 to 9 days.
- Built scalable BigQuery and Spark pipelines integrating 3M+ patient records (claims, EHR, CAHPS surveys), reducing HEDIS reporting time by 40% and ensuring NCQA compliance.
- Designed NLP-based sentiment analysis frameworks for 50K+ patient surveys, driving 15% higher satisfaction scores and a 19% improvement in Medicare ratings.
- Deployed MLOps architecture using Vertex AI and Dataproc to support real-time HEDIS analytics with 98% model uptime, enabling prioritization of NCQA-aligned interventions.
Data Engineer
Tata Consultancy Services
Hyderabad, IN
01.2021 - 11.2021
- Built and enhanced scalable data pipelines on GCP for real-time processing of IoT time-series data, improving operational efficiency by 20% for asset tracking systems.
- Developed Flask-based APIs to integrate real-time IoT data, streamlining data workflows and enabling automation of operational processes.
- Designed and deployed performance-optimized dashboards using Plotly and Dash Enterprise, translating complex data into actionable insights for business stakeholders.
- British Telecom Client
Data Engineer
Callippus Solutions Pvt Ltd
Hyderabad, IN
12.2019 - 01.2021
- Led transformation of a complex process automation solution into a market-ready product, generating $40K+ in revenue and reducing client operational costs by 15%.
- Upgraded ETL pipelines using Google Cloud Platform and BigQuery, improving reporting accuracy by 25% and reducing data processing time by 30%.
- Developed Tableau dashboards tracking 50+ KPIs, enabling data-driven decision-making and improving operational performance by 20%.
Machine Learning Intern
Artivatic.ai
Bengaluru, IN
04.2019 - 07.2019
- Automated data processing workflows by building ML modules and Flask APIs deployed on GCP, improving claims processing efficiency by 30%.
- Supported cloud migration initiatives from on-prem systems to Google Cloud, ensuring scalability and seamless data integration for healthcare applications.
- Performed exploratory data analysis on health insurance datasets to improve claims prediction accuracy and decision-making.
Education
Master of Science - Computer Science
University of Houston – Clear Lake
Houston, US05.2024
Bachelor of Technology - Computer Science
Gandhi Institute of Engineering and Technology
Visakhapatnam, IN04.2020
Skills
Python (Pandas, NumPy, Scikit-learn, Flask), SQL, Spark, Google Cloud Platform (BigQuery, Vertex AI, Dataproc), CI/CD, Cloud Functions, Machine Learning, Statistical Forecasting, Marketing Mix Modeling (MMM), A/B Testing, Applied AI, NLP, Autonomous / Agent-Based Systems, Behavioral Validation of AI Systems, Visualization, Tableau
Timeline
AI Systems Engineer
Conscious Kites
04.2025 - Current
Data Scientist
JKG Solutions Inc
01.2024 - 04.2025
Data Engineer
Tata Consultancy Services
01.2021 - 11.2021
Data Engineer
Callippus Solutions Pvt Ltd
12.2019 - 01.2021
Machine Learning Intern
Artivatic.ai
04.2019 - 07.2019
Master of Science - Computer Science
University of Houston – Clear Lake
Bachelor of Technology - Computer Science
Gandhi Institute of Engineering and Technology