Machine Learning Business Intelligence

Constance Bartram

*** **** ****** ******, ** ****9

716-***-**** ************@*****.***

Professional Summary

AI-driven Data Analyst with 15+ years of experience in corporate accounting and finance, specializing in integrating artificial intelligence and FinOps principles to modernize financial systems, optimize cloud costs, enhance forecasting accuracy, and automate business processes. Skilled in applying machine learning, data mining, and natural language processing within Excel, Python, SQL, Tableau, and Power BI environments to deliver advanced business intelligence.

Core Competencies

●- AI-Powered Financial Modeling & Forecasting

●- Machine Learning for Cash Flow & Budget Predictions

●- AI-Enhanced Data Analysis & Visualization (Excel, Tableau, Power BI)

●- Natural Language Processing for Financial Documentation

●- Automated Audits & Variance Analysis Using AI Algorithms

●- AI-Driven Business Intelligence Reporting

●- Predictive Analytics for Cost Control & Risk Mitigation

●- FinOps & Cloud Cost Optimization

●- Remote Team Collaboration with AI-Integrated Platforms (Microsoft Teams, OneDrive)

Professional Experience

Senior Accountant / AI-Finance Automation Lead

Dimar Manufacturing Corp - Clarence, NY (Remote & Hybrid) 2021-2023

●- Collaborated with cross-functional teams to implement FinOps best practices for cloud financial management.

●- Developed AI dashboards to track real-time cloud spend and optimize resource allocation.

●- Deployed Python AI scripts to automate financial reporting, increasing accuracy and reducing manual effort by 40%.

●- Engineered SQL-driven machine learning models for financial forecasting, enabling real-time variance analysis.

●- Integrated AI-based anomaly detection systems, ensuring 100% audit compliance and enhancing fraud prevention.

●- Leveraged cloud-based AI collaboration tools to facilitate finance-IT interactions, recovering $104,000 in lost tax credits.

Treasury Analyst - AI Predictive Finance Tools Developer

Aurubis Buffalo Inc - Buffalo, NY Oct 2017 - Apr 2021

●- Supported cloud cost forecasting using FinOps-aligned strategies to improve financial predictability.

●- Partnered with IT to analyze billing data from AWS for improved visibility and spend efficiency.

●- Designed and implemented AI-powered cash flow forecasting models, increasing precision by 30% across 12-week periods.

●- Used machine learning classifiers to analyze large volumes of financial and inventory data for strategic allocation.

●- Streamlined multi-state tax compliance using AI tools for document generation, workflow tracking, and data validation.

Senior Accountant - Intelligent Automation Strategist

Kenworth Northeast - Lackawanna, NY Sep 2013 - Mar 2017

●- Conducted financial audits enhanced by AI-based pattern recognition tools to identify and resolve intercompany discrepancies.

●- Developed machine learning models to generate dynamic financial reports used by executive leadership.

●- Applied AI-driven tools to automate and document tax refund processes, significantly increasing company returns.

Education

MBA, Accounting & Finance

University of Phoenix - Phoenix, AZ

BS, Accounting & Finance

State University of New York - Buffalo, NY

Certifications

Google Data Analytics Certification (includes AI & machine learning applications)

Advanced Data Analytics Certification (in progress, with AI focus)

Technical Skills

AI-Driven Excel Models Python (Pandas, scikit-learn, NLP) SQL (AI Query Optimization) Tableau Power BI SAP Oracle QuickBooks Crystal Reports Microsoft Teams & OneDrive (AI Features) Workflow Automation Tools (Zapier, Alteryx)

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