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Hi ๐Ÿ‘‹, I'm Bobby Wilt

Data Scientist | Machine Learning Engineer | Data Engineer

About Me:

I am passionate about exploring and modeling data to discover illusive but critically important data trends that have meaningful impacts on everyday life. Through my background in neuroscience research, I have developed an expertise in time-series analysis, data visualization, and project management. My research experiences working with neural data have also helped me realize my enthusiasm for programming, and as such, I enrolled in Bloomtechโ€™s data science program to strengthen my data science skill set. Having graduated, my ambition is to explore applications of machine learning in cognitive research.

๐Ÿ”ญ Iโ€™m currently working on a spotify recommendation system that implements a bayesian-optimized neural network to create custom song recommendations based on user-provided playlists.

Connect with me:

https://www.linkedin.com/in/bobbywilt/

Languages and Tools:

flask heroku matlab mysql pandas postgresql python scikit_learn tensorflow grafana PySpark AWS PyTorch

bobbywilt's Projects

kickstarter icon kickstarter

Neural network model implemented with flask and SQL to predict the success status of over 100,000 kickstarter companies.

pd-watch-dashboard icon pd-watch-dashboard

Creates a visualization dashboard of Parkinson's patient wearable and self-report data.

pd_voice_updrs icon pd_voice_updrs

This project fits and tunes several regression models to predict Parkinson's symptom severity scores from voice recordings.

spotify_song_recommender icon spotify_song_recommender

This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

tmrl icon tmrl

Reinforcement Learning for real-time applications - host of the TrackMania Roborace League

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