Jonathan Kulakofsky
Senior Data Scientist at TeamWorx Security- Claim this Profile
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English Native or bilingual proficiency
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Spanish Limited working proficiency
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Hebrew Elementary proficiency
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Bio
Manuel Moreno
I first met Jonathan in the Summer of 2014 when he did his internship at HotChalk. We jointly identified a data project that he could work on and manage entirely on his own. That project entailed analyzing, extracting, transforming, rationalizing, correlating, loading, and visualizing various public data sets, which are published by the U.S. departments of Education and Labor. I’m happy to report that Jonathan not only met but exceeded the objectives we set forth. A year later, Jonathan joined the Data team as an FTE where he had the opportunity to enrich his data engineering and analytics skills and to work on several Machine Learning projects. I’m impressed by the level of maturity Jonathan has been able to achieve as a data professional in such a short time. He is very independent and resourceful -- he’s very good at doing research and coming up with creative questions and answers to the challenges he runs into along the way. Another skill worthy of mention is his coding style – his R and Python scripts look very professional. Jonathan will always make a great addition to a Data/Analytics operation.
Sean Fahey
Jonathan was a core member of the HotChalk data analytics team. He was instrumental in the development and testing of several data pipelines to collect, prepare, analyze and present data on student success and academic program quality. Jonathan worked with both structured and unstructured data from student surveys, learning management systems and student information systems. His work included programming in R and Python to build and refine machine learning models to predict student retention, analyzing unstructured text comments to identify common themes, automating data related workflows and transforming data to and support enterprise warehousing. He proved himself to be an adept learner and eager teacher by pursuing multiple online courses in machine learning and hosting brown bag sessions to share his learnings with the team. He was a valued member of our team and will be an asset to the companies and teams he joins in the future.
Manuel Moreno
I first met Jonathan in the Summer of 2014 when he did his internship at HotChalk. We jointly identified a data project that he could work on and manage entirely on his own. That project entailed analyzing, extracting, transforming, rationalizing, correlating, loading, and visualizing various public data sets, which are published by the U.S. departments of Education and Labor. I’m happy to report that Jonathan not only met but exceeded the objectives we set forth. A year later, Jonathan joined the Data team as an FTE where he had the opportunity to enrich his data engineering and analytics skills and to work on several Machine Learning projects. I’m impressed by the level of maturity Jonathan has been able to achieve as a data professional in such a short time. He is very independent and resourceful -- he’s very good at doing research and coming up with creative questions and answers to the challenges he runs into along the way. Another skill worthy of mention is his coding style – his R and Python scripts look very professional. Jonathan will always make a great addition to a Data/Analytics operation.
Sean Fahey
Jonathan was a core member of the HotChalk data analytics team. He was instrumental in the development and testing of several data pipelines to collect, prepare, analyze and present data on student success and academic program quality. Jonathan worked with both structured and unstructured data from student surveys, learning management systems and student information systems. His work included programming in R and Python to build and refine machine learning models to predict student retention, analyzing unstructured text comments to identify common themes, automating data related workflows and transforming data to and support enterprise warehousing. He proved himself to be an adept learner and eager teacher by pursuing multiple online courses in machine learning and hosting brown bag sessions to share his learnings with the team. He was a valued member of our team and will be an asset to the companies and teams he joins in the future.
Manuel Moreno
I first met Jonathan in the Summer of 2014 when he did his internship at HotChalk. We jointly identified a data project that he could work on and manage entirely on his own. That project entailed analyzing, extracting, transforming, rationalizing, correlating, loading, and visualizing various public data sets, which are published by the U.S. departments of Education and Labor. I’m happy to report that Jonathan not only met but exceeded the objectives we set forth. A year later, Jonathan joined the Data team as an FTE where he had the opportunity to enrich his data engineering and analytics skills and to work on several Machine Learning projects. I’m impressed by the level of maturity Jonathan has been able to achieve as a data professional in such a short time. He is very independent and resourceful -- he’s very good at doing research and coming up with creative questions and answers to the challenges he runs into along the way. Another skill worthy of mention is his coding style – his R and Python scripts look very professional. Jonathan will always make a great addition to a Data/Analytics operation.
Sean Fahey
Jonathan was a core member of the HotChalk data analytics team. He was instrumental in the development and testing of several data pipelines to collect, prepare, analyze and present data on student success and academic program quality. Jonathan worked with both structured and unstructured data from student surveys, learning management systems and student information systems. His work included programming in R and Python to build and refine machine learning models to predict student retention, analyzing unstructured text comments to identify common themes, automating data related workflows and transforming data to and support enterprise warehousing. He proved himself to be an adept learner and eager teacher by pursuing multiple online courses in machine learning and hosting brown bag sessions to share his learnings with the team. He was a valued member of our team and will be an asset to the companies and teams he joins in the future.
Manuel Moreno
I first met Jonathan in the Summer of 2014 when he did his internship at HotChalk. We jointly identified a data project that he could work on and manage entirely on his own. That project entailed analyzing, extracting, transforming, rationalizing, correlating, loading, and visualizing various public data sets, which are published by the U.S. departments of Education and Labor. I’m happy to report that Jonathan not only met but exceeded the objectives we set forth. A year later, Jonathan joined the Data team as an FTE where he had the opportunity to enrich his data engineering and analytics skills and to work on several Machine Learning projects. I’m impressed by the level of maturity Jonathan has been able to achieve as a data professional in such a short time. He is very independent and resourceful -- he’s very good at doing research and coming up with creative questions and answers to the challenges he runs into along the way. Another skill worthy of mention is his coding style – his R and Python scripts look very professional. Jonathan will always make a great addition to a Data/Analytics operation.
Sean Fahey
Jonathan was a core member of the HotChalk data analytics team. He was instrumental in the development and testing of several data pipelines to collect, prepare, analyze and present data on student success and academic program quality. Jonathan worked with both structured and unstructured data from student surveys, learning management systems and student information systems. His work included programming in R and Python to build and refine machine learning models to predict student retention, analyzing unstructured text comments to identify common themes, automating data related workflows and transforming data to and support enterprise warehousing. He proved himself to be an adept learner and eager teacher by pursuing multiple online courses in machine learning and hosting brown bag sessions to share his learnings with the team. He was a valued member of our team and will be an asset to the companies and teams he joins in the future.
Credentials
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Deep Learning Specialization
CourseraMar, 2018- Sep, 2024 -
Sequence Models
CourseraMar, 2018- Sep, 2024 -
Convolutional Neural Networks
CourseraFeb, 2018- Sep, 2024 -
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
CourseraJan, 2018- Sep, 2024 -
Structuring Machine Learning Projects
CourseraJan, 2018- Sep, 2024 -
Neural Networks and Deep Learning
Coursera Course CertificatesAug, 2017- Sep, 2024 -
Machine Learning
Coursera Course CertificatesOct, 2016- Sep, 2024 -
R Programming
Coursera Course CertificatesSep, 2016- Sep, 2024 -
The Data Scientist’s Toolbox
Coursera Course CertificatesAug, 2016- Sep, 2024
Experience
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TeamWorx Security
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United States
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Software Development
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1 - 100 Employee
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Senior Data Scientist
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Data Scientist
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Sep 2021 - Present
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Lux Research
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United States
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Research Services
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100 - 200 Employee
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Data Scientist
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Mar 2020 - Jul 2021
Hired at the very beginning of the coronavirus pandemic to be the sole data scientist supporting a company of 150, never worked in the office or met teammates face to face. The models were used for ad hoc consulting projects and research projects, as well as repeated use for informing spending and budgetary decisions. Explained methods and algorithms to stakeholders at all levels of the organization.• Implemented and tuned topic models for multiple enterprise wide natural language data sets.• Aided the construction of a new business intelligence tool by translating visualizations from a legacy tool to a moreend-user accessible engine.• Educated colleagues on complex machine learning and mathematical techniques for their own edification and for use insales and consulting meetings.• Spearheaded API development for retrieving international patent data to keep internal data up to date while reducingcost from outdated methods.
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IQVIA
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United States
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Hospitals and Health Care
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700 & Above Employee
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Data Scientist
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May 2017 - Mar 2020
Joined team of six data scientists in an organization of over 60,000 to develop a complex natural language task requested directly by the CEO. Aided transition from waterfall development strategy to a more agile style, while simultaneously updating methods for GDPR compliance. Coordinated between local colleagues and a team of offshore contractors all over the world. Attended conferences with industry leaders and completed courses at leading institutions to become team expert on TensorFlow and other topics.• Worked on an R&D team assessing state of the art technologies to prototype and build proofs of concept for a multinational corporation.• Designed an end to end translation pipeline utilizing the latest neural machine translation technologies, to provide clear and effective translations of medical documents with multiple use cases.• Created microservice architecture to host, serve, and deploy custom sequence models developed by myself, as well as other members of a global team.• Tested tools created by industry leading companies for comparative analyses against custom built functionality.
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HotChalk, Inc.
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United States
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E-learning
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1 - 100 Employee
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Data Scientist
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Sep 2015 - Nov 2016
Successfully demonstrated skills during internship leading to becoming the first full time data scientist. Developed and refined predictive algorithms to ensure student success and flag potential dropouts for academic advisors. Created tools to assist scheduling and reduce man hours required to allocate weekly teacher assignments.• Developed and tested mathematical models that offered predictive capabilities to help drive customer acquisition decision making across the company.• Refined existing R based machine learning architecture using SQL to pull data to predict customer support needs and deliver targeted assistance via customer support operations.• Developed data pipelines and RESTful API Python plugins from the ground up to automate labor intensive tasks across departments.• Updated a cross-partner survey platform by developing a complete end of course evaluation offering including survey management, data warehousing, data analysis, and presentation.
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The Daily Campus
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Bangladesh
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Media Production
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1 - 100 Employee
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Photo Editor
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Nov 2011 - May 2015
I am an event photographer for UConn’s daily newspaper. I have photographed various university sponsored events including political events, concerts, local and national sporting competitions. I am also responsible for managing event assignments for a staff of 20 photographers and budgeting the equipment for weekly events. I am a member of a design team responsible for digital production of daily photographs for both the physical newspaper and our online galleries. I am an event photographer for UConn’s daily newspaper. I have photographed various university sponsored events including political events, concerts, local and national sporting competitions. I am also responsible for managing event assignments for a staff of 20 photographers and budgeting the equipment for weekly events. I am a member of a design team responsible for digital production of daily photographs for both the physical newspaper and our online galleries.
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University of Connecticut
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United States
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Higher Education
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700 & Above Employee
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Undergraduate Researcher
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Nov 2011 - Sep 2014
My first duties included updating server nodes for the Open Science Grid Consortium. My focus has now shifted to construction, measurements, and analysis in an experimental high energy nuclear physics laboratory. My work includes constructing optical fiber bundles for the Tagger Microscope to be installed in the Thomas Jefferson National Accelerator Facility. In addition, I construct and calibrate electrical components for a detector in a linear electron beam accelerator. My first duties included updating server nodes for the Open Science Grid Consortium. My focus has now shifted to construction, measurements, and analysis in an experimental high energy nuclear physics laboratory. My work includes constructing optical fiber bundles for the Tagger Microscope to be installed in the Thomas Jefferson National Accelerator Facility. In addition, I construct and calibrate electrical components for a detector in a linear electron beam accelerator.
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IT Intern
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Jun 2014 - Aug 2014
Created ETL project combining labor market and educational data to map national trends at an educational technology startup.• Researched and implemented Python packages autonomously to develop a prototype app used for downloading and correlating statistics from multiple government databases.• Launched a successful prototype app for multi-source data downloading and mapping to automate the work of the VP of Portfolio Strategy. Created ETL project combining labor market and educational data to map national trends at an educational technology startup.• Researched and implemented Python packages autonomously to develop a prototype app used for downloading and correlating statistics from multiple government databases.• Launched a successful prototype app for multi-source data downloading and mapping to automate the work of the VP of Portfolio Strategy.
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Education
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2010 - 2015
University of Connecticut
Bachelor of Science (BS), Physics, Mathematics as a second
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