# ashrith muriki

> Data Scientist with 4 years experience in ML/AI, NLP/LLMs, Python, SQL, PySpark, ETL, Databricks, Snowflake, BigQuery, Tableau/Power BI, and cloud-native MLOps on AWS, Azure, and GCP.

Location: Tampa, Florida, United States
Profile: https://flows.cv/ashrith

Data Scientist with 4 Years of Experience: Proficient in designing and developing scalable data solutions using Cloud Data Engineering, Data Warehousing, ETL/ELT, and Big Data platforms.

Expertise in Cloud and Big Data Technologies: Skilled in Snowflake, Databricks, Azure Data Factory, Redshift, ADLS, Apache Spark, Kafka, Hive, and Presto for data processing and analytics.

Strong Data Pipeline and Governance Implementation: Designed and implemented ELT pipelines and Data Lakehouse architectures, ensuring robust data governance and compliance.

AI & Machine Learning Integration: Built predictive models for claims processing, customer segmentation, and fraud detection, achieving significant improvements in efficiency and decision-making.

End-to-End Business Intelligence Solutions: Developed 10+ Power BI dashboards and reporting systems, reducing data discrepancies and enhancing data-driven strategies.

Industry Experience Across Telecom, Insurance, and Fintech: Worked with leading companies like T-Mobile and Utica National Insurance Group, optimizing data solutions to drive business impact.

Passionate About Scalable and Efficient Data Solutions: Dedicated to leveraging AI-driven analytics and automation to improve data processing, governance, and decision-making.

## Work Experience
### Data Scientist @ Wells Fargo
Jan 2024 – Present | Florida, United States
•Designed and deployed an LLM-powered chatbot integrated with Databricks workflows and Chroma vector DB, retrieving insights from 10M+ customer records, while implementing graph-based models, anomaly detection, and RAG pipelines to enhance explainability in credit, fraud, and claims analytics.
•Delivered Modular Context Packaging (MCP) framework improving GPT output consistency by 70%.
•Built CI/CD pipelines with GitLab, Docker, Kubernetes for secure retraining and deployment on Azure; optimized Databricks clusters with autoscaling and job scheduling, reducing compute cost by 30%.
•Integrated Azure ML with Databricks for production-scale retraining, processing 200M+ claims and QA records; developed dashboards (Tableau, Power BI) to track fraud KPIs and model accuracy.

### Data Scientist @ Instacart
Jan 2023 – Jan 2024 | Atlanta, Georgia, United States
•Built and optimized multi-agent RAG frameworks with LangChain & CrewAI to integrate APIs, SQL, and research papers for faster product insights, reducing AWS pipeline processing time by 40% through Spark/PySpark tuning.
•Designed A/B tests and quasi-experiments to measure recommendation model impact and influence product roadmap.
•Integrated OpenAI APIs with reinforcement learning loops for feedback-driven optimization; developed GPT-4 SQL assistant automating complex joins and aggregations.
•Deployed document translation app with Python, Docker, AWS; collaborated with product/marketing teams to define metrics, improve campaign conversions, and track ROI.

### Data Scientist @ UnitedHealth Group
Jan 2022 – Jan 2023 | Hyderabad, Telangana, India
•Built ETL pipelines and SQL scripts to process 200M+ medical claim records using SQL, Hive, and PySpark; standardized data across payer systems for ML modeling and reduced manual cohort creation work by 35%.
•Engineered end-to-end ETL workflows using PySpark, SQL, and Airflow to process large-scale healthcare data, ensuring HIPAA compliance and improving data pipeline reliability by 30%.
•Developed dashboards (Tableau, Power BI) for provider anomalies, claims denial rates, and member risk scoring.
•Collaborated with actuaries, clinicians, and engineers on forecasting models for utilization, pricing, and fraud detection; implemented KPI monitoring and A/B testing frameworks.

### Data Engineer @ UnitedHealth Group
Jan 2021 – Jan 2021 | Hyderabad, Telangana, India
•	Revamped existing reporting and data management system utilizing SQL & Tableau reduced data redundancy by 38%
•	Collaborated with Finance head to implement Zoho CRM and automate Business process augmenting the growth visibility by 24%
•	Enhanced Database efficiency, Memory utilization, and improved System Functionality by 15%


## Education
### Masters in computer science and engineering
University of South Florida

### Bachelor of Technology - BTech in Computer Science
GITAM Deemed University


## Contact & Social
- LinkedIn: https://linkedin.com/in/ashrithmuriki

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Source: https://flows.cv/ashrith
JSON Resume: https://flows.cv/ashrith/resume.json
Last updated: 2026-04-18