Resume

## Timothy James Dobbins

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I am a data scientist and machine learning engineer in Nashville, TN mostly using NLP and machine learning to solve business problems and deliver efficient, scalable solutions.

## Education

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<b>Georgia Institute of Technology</b><br/>

Currently pursuing a Master's degree in computer science with a specialization in machine learning. <br/>

Expected graduation: 2020

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<b>Belmont University</b><br/>

Graduated: May 2015 (economics and statistics)

## Experience

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<b>The General Automobile Insurance Services, Inc.</b> | May 2017 - Present<br/>

<i>Data Scientist II | Sep 2018 - Present</i>

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• Utilize paragraph vectors (using gensim's doc2vec implementation) to perform concept detection to search for abstract concepts such as "Spanish speaking", "fracture", and "attorney representation" (among others) in claim notes 

• Implement online learning in order to update machine learning models in real time with new information

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<i>Data Scientist I | May 2017 - Sep 2018</i>

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• Build a nation-wide price elasticity model using a Mixed Effects/Hierarchical Logistic Regression algorithm (with cross classified and nested random effects) to predict demand for a product at various pricing structures</br>

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• Work closely with the AVP of Analytics and the Data Science Manager to build a model to optimize ad expense allocation for each state using price elasticity</br>

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• Optimize claim routing using a Support Vector Machine model (Python/SciKit-Learn)</br>

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• Architect and implement RESTful APIs (Python/Flask, SQLAlchemy, Celery, Redis, RabbitMQ) that expose machine learning models for consumption</br>

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• Perform various natural language processing tasks (R/tidytext, Python/Gensim), including sentiment analysis, topic modeling (LDA, hLDA), and training Word2Vec and Doc2Vec models</br>

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• Build a topic modeling dashboard for the Digital Experience team to better understand what our clients are chatting about</br>

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• Use topic modeling to predict if a claim needs intervention by a supervisor

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<b>Perception Health</b> | Jan 2015 - April 2017<br/>

<i>Software Engineer/Data Scientist</i>

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• Built machine learning models (Python) that used lab data to predict if a patient will be admitted or not within a 30-day window with 75% accuracy</br>

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• Worked alongside Perception Health's Chief Data Scientist to analyze physicians’ referral patterns and consult hospitals on how to best reduce out-of-network referrals</br>

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• Used ArcGIS and ESRI data (with PostGIS) to visualize healthcare trends geographically</br>

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• Lead production on Perception Health's flagship product since March 2015 to the present</br>

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• Built customizable, interactive dashboards (Leaflet.js, D3.js, Crossfilter.js) </br>

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• Optimized SQL queries and data preparation for faster graph rendering and page-load times</br>

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• Utilized Agile methodologies (JIRA) to organize releases while ramping up features</br>

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• Worked with the lead architect to optimize SQL scripts across the primary product's platform</br>

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• Converted the platform to a RESTful API for more efficiency and to decouple the server-side code from the client side templates

## Achievements

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• Dean’s list at Belmont University Fall 2012, Spring 2013</br>

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• 1 of 100 engineers nationally accepted to attend viSFest, a D3.js conference</br>

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• My project, SQLCell, was accepted to present at JupyterCon 2017</br>

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• My project, Achoo, was accepted to present at AnacondaCON 2018