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Luis Padron

Luis Padron

Machine Learning Engineer

UnbeatableSale.com Inc.

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

Quantitative wordsmith, translating complex concepts into elegant equations.

My Work

Take a look at my latest work.

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Supervised Learning with scikit-learn

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Introduction to R

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Introduction to Python

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

UnbeatableSale.com, Inc. | May 2014 - Present

Machine Learning Engineer

Identified and led effort to apply data science and machine learning to increase sales and streamline processes. Evangelize the importance of data-driven decision making to management. Developed C# solutions to manage inventory, integrate with Amazon Marketplace Web Services (MWS) and automate customer service activities. Shipping Cost Prediction: Increased sales by implementing and deploying a machine learning model which predicts shipping costs accurately. Wrote training and prediction scripts using the H2O framework in R to create and deploy a machine learning model to predict optimal shipping prices. Gathered historical data, performed feature engineering and deployed the model to production. As a result, an additional 200,000 items were sold. Model utilizes a customer word2vec word embedding model in H2O to convert product text into numeric vectors. Enables our AI models to transform natural language contained in product data into usable features. Developed and deployed a demand application using Shiny which allows users to analyze individual SKUs. Displays charts with revenue, demand and landed price over time. Provides insights into price sensitivity and its effects on demand and revenue. Vendor Churn Prediction: Developed a proof of concept K-Nearest Neighbors model in python to predict if an active vendor is likely to turnover or churn. Users can take action to prevent most valuable vendors from severing ties with the company. Product Matching Model: Created a machine learning model to predict whether or not raw inventory data entering the inventory system should be bound to an existing item in the product catalog. The model processes over 1MM records per year, freeing up users’ time and easing congestion in the product data pipeline. Sale Price Recommendation Model: Developed a machine learning model to predict a fully loaded sale price for items that have not yet sold. The model was trained using over one million sales records. Added custom logic to recommend a course of action in order to lower the final sale price. Developed a user interface in ASP.NET Core MVC to display each item, its recommended sale price and the recommended action to take. Customer Service Portal: Created and deployed company’s customer service application in ASP.NET MVC to support both remote and internal users. Created process to automatically respond to incoming customer emails. Created a process to automatically assign emails to agents based on business rules. Inventory Management: Scrum Master and Project Manager for team developing company’s inventory management system (VIMS). Gathered business and technical requirements, facilitated daily stand up meetings. Introduced the team to scrum and work item tracking in Team Foundation Server. Actively managed risks and provided guidance on program design. Implemented web application in ASP.NET MVC so inventory and pricing teams can manage incoming product data.
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Binary Tree | Apr 2013 - Apr 2014

Senior Software Developer

Developed new functionality for their software products. • Interface with Product Owners and write technical specifications for new functionality in E2E, a Silverlight application that migrates mailboxes from one Exchange environment to another. • Gather business requirements, write new code and address defects in existing software products.

Enforsys | May 2012 - Mar 2013

Software Developer

Enhanced and modified existing C# web services from multiple vendors related to 911 records that require incorporation into the Enforsys product. Led development effort to implement National Incident Based Reporting (NIBRS) module in PoliSys product.

SANpulse | Mar 2011 - Apr 2012

Development Manager

Development Manager for SANatomy, the company’s ASP.NET reporting application for storage area networks (SAN) and components. Introduced Agile techniques to facilitate prioritization of features based on business value.

Booz Allen Hamilton | Jun 2003 - Mar 2011

Associate

Developer and team lead for projects supporting warfighters during operations OEF and OIF. Improved development process through metrics, risk management, unit testing and performance profiling. Communities.apan.org site for US Pacific Command Software development for publicly accessible site built to support rapid responses for humanitarian aid and disaster relief. BCCS WebGIS Project for US Army/Department of Defense (DoD) Team Lead for BCCS WebGIS. This application allows war fighters to view timely and relevant data to increase situational awareness. Prioritize requirements, delegate tasks, and manage estimates and risks. Implement web services in ASP.NET to provide geospatial data. SPOT Project for US Army/Department of Defense Developer for SPOT, an ASP.NET application used to track deployed personnel in theater. Facilitated design discussions to flesh out requirements and to determine level of effort needed to implement solutions. Wrote code to implement business logic and custom reports. Collected metrics to measure development productivity and estimate future effort accurately. Applied those metrics to improve future project plan timelines.

Immedient | Jan 2000 - Jun 2003

Consultant

Led and developed applications for major pharmaceutical, technology and retail companies. Led a team of six developers to implement a client's e-commerce site. Delegated development tasks effectively to meet project deadlines.

My Education

Take a look at my formal education

B.S. in Computer ScienceRutgers University | 1997

About Me

Luis Padron

I'm an experienced software developer, consultant and now a machine learning engineer looking to apply my skills to solve big problems. I currently work for an e-commerce company.

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