Sai Akhil Ukkalam
Senior Consultant @KPMG
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WORK HISTORY
Senior Consultant @KPMG
Ottawa, ON, CA
Led enterprise data governance and analytics modernization initiatives for public-sector and institutional clients, supporting 3 large programs through data maturity assessments and analytics roadmaps. Designed AI-assisted governance workflows using NLP techniques to analyze hundreds of policy documents, data inventories, and control artifacts, enabling structured maturity scoring and prioritized recommendations. Implemented Microsoft Fabric architectures, consolidating 10+ siloed data sources into a unified OneLake environment, improving data accessibility, lineage visibility, and cross-functional reporting adoption. Developed advanced Power BI solutions, including star-schema models and complex DAX measures, delivering near real-time operational insights to senior stakeholders and program leadership. Engineered scalable data pipelines in Databricks using PySpark to perform large-scale validation and anomaly detection across 10M+ records, improving data quality, traceability, and audit readiness. Built LLM-powered proof-of-concept solutions using RAG patterns to support risk assessment and document analysis use cases, reducing manual review effort and turnaround time for governance-related workflows. Automated recurring data workflows using Python and Alteryx, reducing manual effort by 200+ hours across 14 multi-team engagements that saved more than $70K.
EDUCATION
Sri Chaitanya Techno School, Bangalore
Class 12 - 92.4% || Class 10 - CGPA 10.0
Amrita Vishwa Vidyapeetham
Bachelor of Engineering, Computer Science
University of Ottawa
Master's degree, Computer Science
ABOUT SAI AKHIL UKKALAM
I build data and AI systems that turn complexity into clarity for enterprise clients.Over the past 4 years at KPMG, I’ve worked across the full spectrum of data, analytics, and AI - from modernizing data governance frameworks and building analytics platforms, to deploying production NLP systems and training custom machine learning models.What I Bring to the Table:1. Data & Analytics Infrastructure - Designed and implemented enterprise data platforms using Microsoft Fabric, Databricks, and AzureConsolidated 10+ siloed data sources into unified lakehouse architecturesBuilt scalable PySpark pipelines processing 10M+ recordsDelivered Power BI dashboards with real-time insights for senior leadership2. AI & Machine Learning -Specialized in practical AI: LLMs, prompt engineering, RAG patterns, and NLP workflowsDeployed production-grade AI systems for document analysis and risk assessmentFine-tuned models for intent classification and NLP use casesBuilt AI tools that reduced manual effort by 75–80%Strong focus on taking AI from prototype → production3. Business Impact -Automated workflows saving 200+ hours and $70K+ in client costsPresented AI strategies to 50+ industry professionalsConsistently translated complex technical requirements into systems, stakeholders actually use🧰 Technical Stack:AI / ML: LLMs (GPT, Llama), RAG, NLP (NLTK, spaCy), MLflow, prompt engineering, model fine-tuningData Engineering: Databricks, PySpark, Microsoft Fabric, Snowflake, ETL / ELT pipelinesCloud: Azure (Data Lake, Synapse, Data Factory, Purview), AWSAnalytics & APIs: Power BI (Advanced DAX), Python, SQL, FastAPIMLOps: Docker, CI/CD, model versioning, experiment tracking What Drives MeI’m passionate about the intersection of governance, scalability, and innovation - building systems that are not only technically sound, but operationally robust and compliant. Whether it’s data governance, ML pipelines, or analytics dashboards, I focus on solutions that deliver measurable business value.🤝 Let’s ConnectAlways happy to connect with people working on: Enterprise data challenges, Production ML systems, Innovative uses of generative AI u••••••••@gmail.com
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