Hi, my name is Tyler Hirn
I build awesome software things
01. About Me
A Software Engineer with a double degree in Psychology specialized in machine learning, data analysis, as well as project design with a side specialty in designing and building user experience for the web, ios, and android platforms. Currently focusing on bridging the gap between Psychology and Technology by developing a App that uses SVC, NLP, and NN Machine learning models to predict users mood and provide personalized music recommendations.
02. Skills
Here are a few technologies I've been working with recently:
- Flutter
- Python
- Tableau
- Google Cloud
- Pandas + Excel
- HTML / CSS / JavaScript
02. Where I've Worked
Software Engineer @ Core Music LLC
May 2023 - Present, Atlanta, GA
- Drove a 20.49% profit increase over 5 months for Rant-N-Rave Jewelry through optimized marketing and inventory management using Excel and Tableau. Developed a reliable UX dashboard for quick inventory testing, utilizing Python for efficient data transformation.
- Created a fully integrated website attracting over 1 million dollars in direct investments to Organos Inc. biotech company. Prioritized communication with client requirements to maximize potential investors.
- Designed and pitched a framework for integrating online e-commerce through Shopify and online marketing for a multi-million-dollar retail chain. This integration plan aimed to increase sales by 34% by introducing an online storefront and optimizing manpower and profitability.
- Regularly addressed production bugs and improvements in Google Cloud Pipelines for hosted ML services, including maintaining a live notification system connected to Apple for monitoring and securing app purchase transactions.
03. Some things I've built.
Core Music
An application that combines advanced Machine Learning techniques with Natural Language Processing to enhance personal journaling experiences with integrated personal music recommendations reflecting their journal sentiment. Check it out!
- Implemented Natural Language Processing (NLP) to analyze user journal entries, effectively extracting the underlying sentiment.
- Developed a recommendation system, leveraging the sentiment data to personalize user experience.
- Integrated Spotify API to fetch user's music data, creating a personalized pool of music.
- Designed and implemented a Gradient Boosting (XGBoost) model to analyze the audio features of songs, predicting their mood context.
- Utilized XGBoost outcomes to match user's sentiment with mood-based music, enhancing music recommendations.
Skills:
- Machine Learning
- Natural Language Processing
- XGBoost
- Spotify API
- Python
Spotify Usage Dashboard
In today's digital age, music streaming platforms like Spotify have become an integral part of our daily lives. This project delves into personal Spotify data to uncover intriguing insights into listening habits. Using Tableau, the dashboard visualizes various metrics such as total time played, favorite artists, and track preferences, providing a comprehensive view of music consumption patterns. This analysis not only showcases my proficiency in data visualization but also underscores the value of personal data in understanding user behavior and preferences.
Skills:
- Tableau
- Excel
- Data Visualization
- Data Analysis
Core
An app that combines machine learning and natural language processing to help you find patterns in your mood.
Skills:
- Flutter
- FireBase Firestore
- TensorFlow
- Custom SVC models
- Excel + Pandas
04. What's Next?
Get In Touch
Currently I am looking for opportunities that benefit human wellbeing, especially those related to machine learning, Psychology, and data analytics. Whether you just want to say hi, or have a question or collaboration, I will always try my best to get back to you!
Say Hello