Cost analysis & optimization
Review cloud spend patterns, investigate cost drivers, and identify opportunities for optimization.
CLOUD FINOPS · COST ANALYTICS · AUTOMATION
I work with cloud cost data, financial reporting, budgeting, forecasting, and automation to help teams understand their cloud spend and identify optimization opportunities.
Cloud financial management · Reporting · Data-driven decisions
Illustrative concept — not live billing data.
ABOUT ME
My work sits at the intersection of cloud operations, cost management, analytics, and reporting. I use data to make cloud spend easier to understand and to support practical conversations about budgets, forecasts, and optimization opportunities.
I have worked with cloud platforms and reporting tools including AWS, Azure, CloudZero, and Apptio BI, alongside SQL, Excel, and automation workflows.
This portfolio highlights existing analytics work. FinOps-specific case studies will be added as they are built and validated.
CORE CAPABILITIES
A practical mix of cost visibility, analytical thinking, and repeatable reporting.
Review cloud spend patterns, investigate cost drivers, and identify opportunities for optimization.
Support financial planning with clear reporting, spend trends, variance analysis, and forecast inputs.
Organize cost information to help stakeholders understand usage and spending across services or teams.
Use SQL and data workflows to reduce repetitive manual reporting and make analysis more repeatable.
SELECTED WORK
These existing projects demonstrate analytical, SQL, and business problem-solving skills. They are not presented as completed FinOps implementations.
Exploratory analysis of bank stock performance across the financial crisis through early 2016, using visual exploration to examine market trends.
Transform raw housing data into a more consistent, analysis-ready dataset using SQL Server.
Explore customer behavior and compare mobile app and website experiences to support a business decision.
PERSONAL PROJECTS
A wider collection of hands-on projects across machine learning, analytics, recommendation systems, and application development.
These projects reflect my learning and experimentation across data and software. They complement my Cloud FinOps focus rather than representing production FinOps implementations.
Explore how user and session features can be used to model the likelihood of an advertisement click.
Explore repositoryA classification project exploring similarity-based prediction and the role of choosing an appropriate number of neighbors.
Explore repositoryExperiment with tree-based models to understand rule-driven decisions, model behavior, and ensemble learning.
Explore repositoryExplore approaches for recommending content based on patterns in user preferences or item similarities.
Explore repositoryInvestigate margin-based classification and how feature representation affects a model's decision boundary.
Explore repositoryGroup data points by similarity and explore how clustering can reveal structure in unlabeled data.
Explore repositoryApplication development work using Java and the Spring ecosystem, reflecting broader software engineering experience.
Explore repositoryNote: The links above currently point to the project collection. Replace each with its exact project folder or README link after confirming the repository paths.
TOOLS & TECHNOLOGIES
AWS · Microsoft Azure
CloudZero · Apptio BI · Excel · Cost analysis
SQL · Python · Power BI · Data cleaning
Git · GitHub · Jira · Reporting automation
LET'S CONNECT
I'm interested in opportunities across Cloud FinOps, cloud cost optimization, and financial analytics.