Armando Matias Uribe
Work Experience
Keg N Bottle - San Diego, Santa Barbara , Remote
Head of Operations (2020 - 2024)
As Head of Operations at Keg N Bottle, I managed over 70 employees across 12 locations, primarily focusing on San Diego, Santa Barbara, and the national website. I drove revenue growth by brokering a key partnership with a third-party vendor, which boosted weekly sales by $20,000. Leveraging my technical expertise, I implemented time series forecasting techniques to anticipate sales surges and drops, enabling proactive adjustments in staffing and inventory. Using Tableau, I built interactive dashboards to visualize store and online sales trends, streamlining data-driven decisions. Additionally, I designed a recommendation engine that enhanced the customer experience and drove a 12% increase in average order size. My role also involved managing customer success on various third-party platforms, ensuring seamless integration and optimal user engagement across multiple channels.
Education
University of California, Santa Barbara
Statistics and Data Science, B.S.
2021-2023
Sigma Chi Fraternity
Zeta Kappa Chapter
2021-2023
Housing Helper - Santa Barbara, Remote
Lead Data Scientist & Analyst (2024-Present)
As the Lead Data Scientist and Analyst at Housing Helper—a startup focused on centralizing housing listings and room rentals for seamless user experience—I provide critical data insights that shape business strategy and attract investor interest. My role involves analyzing complex datasets to provide metrics that enable the CEO and COO to make informed, data-driven decisions that enhance both app functionality and market positioning. This analysis helps the team prioritize development updates that align with user needs, fostering a more engaging and reliable platform. Leveraging my business expertise, I also work to strengthen Housing Helper's local presence by forging partnerships with other small businesses, increasing brand visibility, and driving user growth through community-focused marketing strategies. My role thus bridges technical data analysis with strategic business initiatives, positioning Housing Helper for sustained growth in a competitive housing market.
Skills
Technical
Coding Languages: Python, R, SQL, SAS, Jupyter, Excel
Packages: Pandas, Seaborn, Numpy, Matplot, Hugging Face, Plotly Express, XGBoost, Random Forests, Sklearn, dplyr
Concepts: Machine Learning, Time Series, Data Visualization, EDA, Data Analysis, Data Management, Sentiment Analysis, SVM, Decision Trees, KNN, Linear Regression, Logistic Regression, PCA, LDA, QDA
Leadership & Management
Team Management: Workforce Coordination, Employee Motivation, Cross-Location Oversight
Customer Success: Third-Party Platform Management, Client Relations, Customer Retention Strategies
Operational Strategy: Efficiency Improvement, Inventory and Staffing Optimization
Strategic & Business
Partnership Development: Vendor Negotiation, Revenue Generation, Strategic Alignment
Problem-Solving: Adaptability to Changing Needs, Complex Issue Resolution
Data-Driven Decision Making: Translating Insights into Actions, Proactive Business Adjustments
Coursework
Time Series Analysis
Statistical Machine Learning
Advanced Mathematics
Design of Experiments
Compound Interest & Amortization / Stock & Bond Market Statistics
SAS Base Programming
Regression Analysis
