Hi, I'm Daniel. 

                    I'm completing a Master's in AI at Duke University.
                    I'm passionate about building data-driven solutions
                    that solve meaningful problems.
profile

Projects

Some of the things I've built...

Chatbot


Led the development of a member-facing chatbot that answered common patient logistical questions. Details Available Figma / Jira / Confluence / Looker

Message Classifier


Developed a machine learning system that classified incoming user messages among three categories in Python. Details Available Python / Pandas / Scikit-learn

doctorNow


Ideated and designed a high-fidelity prototype for an application that helps physicians better connect with patients. Details Available Figma / Adobe Creative Suite

Personal Website


Designed and built this personal website to showcase my interests and achievements. Deployed via Github pages. HTML / CSS / JS

Tweet Sentiment Analysis


Implemented Naïve Bayes predictor function that computed the probability of a tweet having a positive or negative sentiment. Python / Pandas / Scikit-learn

Machine Translation


Used linear transformations on generated word embedding matrices to compute the nearest neighbor of some input English word and return its corresponding French translation with a ~95% accuracy. Python / Pandas / Scikit-learn

Experience

Some of the things I've done...

Data Scientist @ Selia


  • Extracted and transformed data for ~100,000 users using SQL and built data analytics pipeline using Seaborn, Pandas and Numpy that produced marketable success cases for 32 B2B clients
  • Validated company's care model by discovering a positive wellness trend in 74% of active users and finding a negative correlation between user engagement and user-reported anxiety
  • Performed A/B testing on users with 0 and 1+ attended appointments to find that the anxiety for users in the latter group is declining at a faster rate
June 2023 - August 2023

Associate Product Manager @ Enable Medicine


  • Coordinated engineering and design efforts to usability test, implement, and ship guidance features that improved platform navigation experience for an influx of ~200 new users
  • Scoped, researched, ideated, and proposed image quality control user flow that incorporated three automations prioritizing efficiency and flexibility, improving platform scalability and user experience
  • Collaborated with scientific and engineering stakeholders to streamline the way we publish analysis notebooks such that they remain usable, accessible, and readable for external users
February 2023 - May 2023

Associate Product Manager @ Workit Health


  • Led team of data analysts, engineers, and designers to ideate, define, and prioritize features for that achieved average of 1,000 WAU and increased daily chat engagement by 29%.
  • Defined product metrics and created Looker dashboard to track user engagement and product usability patterns.
  • Shipped a feedback button feature that was adopted by 13% of users and facilitated the identification of different features as the most popular chatbot use cases.
January 2022 - May 2022

Machine Learning Engineer @ Workit Health


  • Developed ML models in python that correctly classified 80% of patient messages, then deployed as a microservice.
  • Analyzed ~1 million datapoints with NLP profiler, n-gram analysis, and Latent-Dirichlet Allocation to identify patterns and inform ML model parameters.
  • Interpreted ML model using LIME and SHAP to identify that training data was poorly labeled, resulting in model retraining and an overall performance improvement of ~22%.
May 2022 - August 2022
© 2023 Daniel Medina