I'm a Data Analyst
Transforming complex data into strategic insights that drive business growth
Years Experience
Projects Completed
Professionals Trained
Hello! I'm a Data Analyst and AI Engineer with 5+ years of experience building analytics solutions that deliver measurable results.
At De Soto Technologies, I led analytics initiatives that transformed how the organization uses data, consolidating 50+ manual Excel reports into 8 automated Power BI and Tableau dashboards, saving 120+ hours weekly and achieving 99% reporting accuracy.
Conducting independent AI/ML research analyzing mathematical reasoning capabilities of language models using Python, SQL, and statistical analysis.
Coordinated daily operations for immersive entertainment experiences serving 300-1,000 guests daily, managing shift scheduling, staff training, and customer service workflows across regular shows and special events.
Led enterprise analytics transformation, consolidating 50+ legacy Excel reports into 8 interactive dashboards. Achieved 34% forecast precision improvement and $420K cost reduction.
Supported enterprise data migration and reporting automation, establishing standardized templates and optimizing dashboard performance.
Created automated reporting systems integrating HRIS, payroll, and attendance data for 700+ employees, improving accuracy by 62%.
Supported the analytics team in cleaning and structuring large datasets, while assisting with interactive dashboard builds for business insights.
Domain-specific LLM with RAG architecture for financial data analysis. Built with LangChain workflows, MongoDB Vector Search, and fine-tuned Groq Mistral-24B achieving 92% SQL generation accuracy and 95%+ intent classification.
Independent research improving small language model performance on mathematical reasoning using Chain-of-Thought, Plan-and-Solve, and DUP methodologies with GSM8K datasets. Evaluated models like DeepSeek-R1 and Falcon.
Power BI trading desk simulation analyzing $336M mortgage portfolio across 1,146 loans. Identified 72 basis point pricing premium for high-credit borrowers and achieved 207 basis points profit target exceeded (7.07% vs 5.00%).
End-to-end deep learning project combining computer vision and NLP. Processed 200,000 images and 8M+ text samples using PyTorch, TensorFlow, and scikit-learn for multi-modal data analysis.
Computer vision system enhancing navigation and safety for visually impaired users. Features alert system for approaching vehicles/objects, street name detection, and pedestrian signal recognition.
Power BI analytics platform with advanced DAX measures for customer churn analysis. Features behavioral analytics and KPI tracking, showing 84% YoY retention improvement and 16% churn reduction.
Collaborative filtering model for aisle-level personalization on GCP using PySpark. Implemented rolling cross-validation for robust model evaluation and scalable recommendations.
Tableau-based retail analytics solution for market basket analysis and performance optimization. Features statistical modeling and scheduled reporting for identifying product correlations and purchasing patterns.
Interactive dashboard built end-to-end using Claude Cowork's Data plugin in 4 prompts. Covers Brent crude trajectory, country-level pump price rankings, risk exposure tiers, and a 2026 vs 2022 Ukraine shock comparison — all from a raw Kaggle CSV. Data is illustrative and intended to showcase an AI-assisted analytics workflow.
View my complete professional background, skills, and experience
I'm always interested in connecting with people passionate about data, analytics, and intelligent decision-making.