Karticka Devi

About Karticka Devi

I’m an innovative Data Scientist and AI/ML Engineer with 10 years of experience building data-driven and intelligent systems. I’ve helped major financial organizations automate analytics, reduce manual reporting by 40%, and apply AI to real-world business problems.My career began as a Data Analyst, where I built data warehouses, designed data models, ingested raw data into data lakes, and developed conformed data marts that powered business reporting and analytics. I collaborated closely with stakeholders to translate business needs into scalable technical solutions — ensuring data quality, consistency, and trust across the organization.Over time, I became deeply interested in how AI, Machine Learning, and LLMs (Large Language Models) could extend these capabilities — predicting outcomes, automating insights, and creating intelligent systems. That passion led me to pursue an M.S. in Computer Science (Data Science, AI & ML) at UNC Charlotte, balancing full-time work at Wells Fargo with hands-on ML and GenAI projects.I’ve built reinforcement learning agents, neural network models, and RAG chatbots using Python, TensorFlow, PyTorch, LangChain, and FastAPI — while also leading large-scale data automation initiatives in my full-time role at Wells Fargo. There, I developed an enterprise data mart (COBRA) that unified multiple lending and risk systems, automated portfolio reporting, and reduced manual analysis time by 40%. These experiences strengthened my ability to design both intelligent AI solutions and enterprise-grade data architectures that drive measurable business outcomes.I’m passionate about applying machine learning and large language models to real-world business problems — developing intelligent, scalable systems that make data not just available, but truly insightful.Core strengths: Python, SQL, Power BI, Tableau, Data Modeling, ETL, Data Warehousing, Data Governance, TensorFlow, PyTorch, scikit-learn, LangChain, LlamaIndex, MLflow, Docker, Model Monitoring, LLMs, GenAI, and Business Requirement Analysis.

Experience

1. Senior Data Management Analyst

   Wells Fargo

   Feb 2022 — Present · Charlotte, NC, US

   Performed advanced data analysis and profiling in iHub, leveraging the Oracle Financial Services Data Foundation (OFSDF) model to strengthen source-to-target mappings and improve overall data consistency and accessibility.• Redesigned and enhanced the Data-in-Motion Audit tool, automating lineage capture and compliance monitoring across multiple business workflows and regulatory applications.• Developed and optimized complex SQL and PL/SQL transformation logic to standardize ingestion, perform validation, and prepare datasets for downstream system consumption.• Managed multi-source data ingestion pipelines, ensuring stable and high-quality data delivery through proactive monitoring and performance tuning.• Diagnosed and resolved integration failures by tracing data dependencies, implementing root-cause automation scripts, and reducing recurring incidents by 60%.• Led data quality automation initiatives, designing test cases, validation checks, and remediation processes that increased reliability and compliance across the data ecosystem.

Education

• University of North Carolina at Charlotte

  Master's degree, Computer Science - Specialization in Data Science, AI & ML

• MNM Jain Engineering College

  Bachelor of Engineering (BE)

  2007 — 2011