My name is pronounced Ho-vawn-es, but most just call me Hov (yes, like Jay-Z). In my past life I worked in politics, at the federal as well as state levels. In my reincarnated past life, I was an aspiring academic. Now, I’m a data scientist! Regardless of how many lives I have left, I will always love helping others, analyzing data, and having fun.
Specialties:
Some of my favorite Python libraries and tools:
Some of my favorite tools for Data Visualization:
I work on improving and expanding VIZIO's recommender systems, and personalization efforts more broadly. From data engineering in AWS, to MLOps in Databricks, I navigate complex big data pipelines and am responsible for end-to-end solutions that enhance the user experience of millions of customers.
I taught students Python for Data Science (primarily in Jupyter Lab/Notebooks). Topics range from various machine learning models, statistical methods, and algorithms for both regression and classification problems, as well as unsupervised learning methods like clustering and recommender systems. I guide students through 3 months of a very rigorous data science curriculum, including 5 projects and a final capstone for their portfolios.
I used a variety of tools to conduct data analyses for officer performance and agency insights such as SQL (Metabase and Valentina Studio) and Python (Jupyter Lab) I also engaged in natural language processing (NLP) using Google’s Natural Language API for sentiment and entity analyses on unstructured data (e.g. constituent feedback and survey responses), in addition to VADER. I developed numerous dashboards in Metabase for dynamic visualizations that automated recurring analytics (e.g. monthly and quarterly statistics by agency).
I conducted various policy analyses and developed reports for presentation to Members of Armenian Parliament and the Economic Development Committee. I also collaborated with the rest of data science team to build our in-house data cluster, to speed up our data collection, cleaning, and analyses.
Minor: City and Regional Planning
Specialization: Education Policy
GPA: 3.8
Apart from being a data scientist, I enjoy most of my time being outdoors. In the pre-pandemic era, I was an avid soccer player. I enjoyed mountain biking, snowboarding, and playing tennis.
In the post-pandemic era, my time gaming and Netflixing has increased exponentially. The Witcher and Dark are two of my favorite shows of all time. The Legend of Zelda: Breath of the Wild replaced Ocarina of Time as my favorite game of all time.