N. A. Kovacs
Data Scientist at General Assembly- Claim this Profile
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Topline Score
Bio
Michael Chery-Winder
Kovacs is an excellent collaborator. I took a Data Science Immersive program with him and we would frequently be paired to complete python coding challenges or do machine learning projects. I am always impressed by his speed and creativity. We would often find different solutions to the same problem which I found to be very valuable because it helped us both grow our own tool-sets and perspective. He would often message me before class even began with comments about the lesson he'd already been working on. I respect his enthusiasm and work ethic and endeavor to model myself in that image. Any data science team would be lucky to have a member like Kovacs.
Stephen Strawbridge, CPA
In my experience working with Kovacs in a data science immersive cohort, Kovacs has proven to be one of the higher performing and most genuinely interested students in data science. He often goes above and beyond tasks dealt to him, and is always looking for ways to improve upon his coding process. In regards to soft skills, he encourages a diversity of thinking and is open to hearing new ideas. Kovacs would be a great asset to any company in a data science capacity.
Michael Chery-Winder
Kovacs is an excellent collaborator. I took a Data Science Immersive program with him and we would frequently be paired to complete python coding challenges or do machine learning projects. I am always impressed by his speed and creativity. We would often find different solutions to the same problem which I found to be very valuable because it helped us both grow our own tool-sets and perspective. He would often message me before class even began with comments about the lesson he'd already been working on. I respect his enthusiasm and work ethic and endeavor to model myself in that image. Any data science team would be lucky to have a member like Kovacs.
Stephen Strawbridge, CPA
In my experience working with Kovacs in a data science immersive cohort, Kovacs has proven to be one of the higher performing and most genuinely interested students in data science. He often goes above and beyond tasks dealt to him, and is always looking for ways to improve upon his coding process. In regards to soft skills, he encourages a diversity of thinking and is open to hearing new ideas. Kovacs would be a great asset to any company in a data science capacity.
Michael Chery-Winder
Kovacs is an excellent collaborator. I took a Data Science Immersive program with him and we would frequently be paired to complete python coding challenges or do machine learning projects. I am always impressed by his speed and creativity. We would often find different solutions to the same problem which I found to be very valuable because it helped us both grow our own tool-sets and perspective. He would often message me before class even began with comments about the lesson he'd already been working on. I respect his enthusiasm and work ethic and endeavor to model myself in that image. Any data science team would be lucky to have a member like Kovacs.
Stephen Strawbridge, CPA
In my experience working with Kovacs in a data science immersive cohort, Kovacs has proven to be one of the higher performing and most genuinely interested students in data science. He often goes above and beyond tasks dealt to him, and is always looking for ways to improve upon his coding process. In regards to soft skills, he encourages a diversity of thinking and is open to hearing new ideas. Kovacs would be a great asset to any company in a data science capacity.
Michael Chery-Winder
Kovacs is an excellent collaborator. I took a Data Science Immersive program with him and we would frequently be paired to complete python coding challenges or do machine learning projects. I am always impressed by his speed and creativity. We would often find different solutions to the same problem which I found to be very valuable because it helped us both grow our own tool-sets and perspective. He would often message me before class even began with comments about the lesson he'd already been working on. I respect his enthusiasm and work ethic and endeavor to model myself in that image. Any data science team would be lucky to have a member like Kovacs.
Stephen Strawbridge, CPA
In my experience working with Kovacs in a data science immersive cohort, Kovacs has proven to be one of the higher performing and most genuinely interested students in data science. He often goes above and beyond tasks dealt to him, and is always looking for ways to improve upon his coding process. In regards to soft skills, he encourages a diversity of thinking and is open to hearing new ideas. Kovacs would be a great asset to any company in a data science capacity.
Experience
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General Assembly
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United States
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Higher Education
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700 & Above Employee
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Data Scientist
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Oct 2020 - Present
Fellow at General Assembly Using industry tools to analyze data & create predictions, narratives, & visualizations for client-friendly presentations to address open-ended student-driven problem statements. ◦ Project: collaborated with a group to create a machine learning model that takes in unstructured text (paragraph of description of a protest) as well as other protest parameters and predicts the likelihood of various state responses to the protest (accommodation, ignore, crowd… Show more Fellow at General Assembly Using industry tools to analyze data & create predictions, narratives, & visualizations for client-friendly presentations to address open-ended student-driven problem statements. ◦ Project: collaborated with a group to create a machine learning model that takes in unstructured text (paragraph of description of a protest) as well as other protest parameters and predicts the likelihood of various state responses to the protest (accommodation, ignore, crowd dispersal, shootings, etc). ◦ Project: Created a machine learning model that interprets parameters of MIDs (Militarized Interstate Disputes) to predict whether the outcome of a dispute results in a loss of life. ◦ Project: Created an NLP model to attempt to predict the location of a reddit user based on the language used in their posts. Show less Fellow at General Assembly Using industry tools to analyze data & create predictions, narratives, & visualizations for client-friendly presentations to address open-ended student-driven problem statements. ◦ Project: collaborated with a group to create a machine learning model that takes in unstructured text (paragraph of description of a protest) as well as other protest parameters and predicts the likelihood of various state responses to the protest (accommodation, ignore, crowd… Show more Fellow at General Assembly Using industry tools to analyze data & create predictions, narratives, & visualizations for client-friendly presentations to address open-ended student-driven problem statements. ◦ Project: collaborated with a group to create a machine learning model that takes in unstructured text (paragraph of description of a protest) as well as other protest parameters and predicts the likelihood of various state responses to the protest (accommodation, ignore, crowd dispersal, shootings, etc). ◦ Project: Created a machine learning model that interprets parameters of MIDs (Militarized Interstate Disputes) to predict whether the outcome of a dispute results in a loss of life. ◦ Project: Created an NLP model to attempt to predict the location of a reddit user based on the language used in their posts. Show less
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Self-employed
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Boston, Massachusetts, United States
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Self-study
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Mar 2020 - Oct 2020
Engaged with a rigorous daily schedule to teach myself Python and gain familiarity with Linux systems after COVID-19 restrictions. Moved to General Assembly to bridge the gap between my self-taught skills and employability. Engaged with a rigorous daily schedule to teach myself Python and gain familiarity with Linux systems after COVID-19 restrictions. Moved to General Assembly to bridge the gap between my self-taught skills and employability.
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Alpine Environmental
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United States
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Environmental Services
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1 - 100 Employee
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Supervisor
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Jul 2017 - Mar 2020
◦ Managing projects independently with man-hour budgets ranging from 100-300 hours for typical residential and up to 3000 man-hours for some large commercial sites. ◦ Managing crews of 1-6 to complete projects under budget and under hours. ◦ Licensed for supervisory abatement work in 5 states with additional certifications for operating heavy machinery, construction safety, and other specialist skills. ◦ Managing projects independently with man-hour budgets ranging from 100-300 hours for typical residential and up to 3000 man-hours for some large commercial sites. ◦ Managing crews of 1-6 to complete projects under budget and under hours. ◦ Licensed for supervisory abatement work in 5 states with additional certifications for operating heavy machinery, construction safety, and other specialist skills.
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Education
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2013 -
University of Massachusetts Amherst
Computer Science
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