Welcome to my GitHub!
I’m an analytics-focused MS Operations & Technology Management student with experience in business analysis, SAP, and data-driven decision making. I enjoy exploring datasets, building analytics pipelines, and turning data into actionable insights.

• 🎓 MS in Operations & Technology Management
• 💼 2 years in operations and business analysis, plus 6+ years in supply chain, sales, and service operations
• 🧠 Interested in supply chain analytics, predictive modeling, and process optimization
• 💻 Strong skills in Excel, Power BI (DAX, Power Query), Python (Pandas), SQL & SAP (Super User)
• 📍 Based in Portland, Oregon
• 🌱 Currently sharpening my skills in cloud analytics & machine learning fundamentals

Programming & Analytics Tools:

• Python (Pandas, NumPy, Matplotlib, Regex)
• R (probability, simulation & modeling)
• SQL
• Power BI (DAX, Data Modeling, Power Query)
• Excel (dashboards, VLOOKUP/XLOOKUP, pivot tables, Power Query)
• Tableau
• SAP (Order-to-Cash, Pricing, Reporting)

A comprehensive collection of 10 projects focusing on end-to-end data pipelines and statistical modeling.

-Data Visualization: COVID-19 mortality trends using Matplotlib/Pandas. -ETL & Wrangling: Automated processing for Boiler Sample data (25+ CSVs), Regex coordinate extraction, and Piston Ring reshaping. -Advanced Analytics: MLB performance metrics (OBP/PAB) and Object-Oriented Queuing Theory libraries. -APIs: Real-time geocoding and address validation via TomTom API.

A dedicated repository for quantitative business modeling and causal inference. -Predictive Modeling: Regression and forecasting using tidyverse and R Markdown. -Causal Analysis: Inference modeling to explore variable relationships. -Financial Analysis: Time-series visualizations and summary reporting.

• 🔗 LinkedIn: linkedin.com/in/swezinye