Alex Tryforos
Data Scientist II at GoGuardian- Claim this Profile
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Bio
Alex Sadovsky
Alex is an awesome team member who would be an asset to any Data Science/AI organization. As one of my first hires at SurePrep he was forced to wear many hats from being a Data Scientist, to being a Cloud Engineer, to assisting in Dev-Ops and more. Alex quickly can take a client/customer need and help translate it into a quickly viable solution - and then iterate - which was perfect for helping our start up reach success in short order. Most importantly, Alex is a great personality that gets along well with many team members and helps others achieve their best. I strongly recommend him for any Machine Learning role, and I eagerly look forward to how he continues to succeed and build upon his impressive skillset going forward!
Ryan Johnson
Alex Tryforos is the kind of data scientist I would hire again and again for any data team I was leading. Alex possesses a combination of skills that is hard to find and very invaluable to a data science team. First, Alex is an expert in traditional statistics. Maybe you think this sounds boring, but keep in mind that all machine learning from simple binary classifiers to complex LLMs, are built upon statistical concepts like probability, distributions, and model fitting. Statistics is indeed the theoretical framework upon which ML is built. Specifically, I recall Alex being called in by two other talented data scientists because they were stuck trying to estimate how much of a classification problem they had actually solved (I.e. how should they think about ROI in their ML projects). Despite having plenty of his own work to do, Alex was able to help these scientists utilize some distribution estimates and clever statistics to help them reach a solution. There are countless ways Alex’s strong background in statistics is useful on any DS team. All that being said, Alex is also a modern data scientists with experience in machine learning algorithms and machine learning operations. I found Alex to be thirsty for knowledge in this area and a fast learner. I know he is highly capable working with complex ML classifiers in scaled production usage as well as new toys like LLMs. Alex also demonstrated some excellent soft skills when partnering with product managers. Initially, I assigned Alex to one team to meet their product needs. It quickly became clear that communication, clear goals, and consistent direction were hard to come by on this team. Nevertheless, Alex persevered and continued to deliver incremental value whenever he could get the support he needed. This ability to work with challenging partners and find ways to deliver value is another reason Alex is so valuable. Finally, Alex also excelled at communication. In particular his written reports describing his modeling and analyses were top notch. They were clear but also thorough. Highly technical but also easy to read. It’s hard to find scientists with the ability to explain their approaches in a highly organized and approachable manner. Alex also is a great presenter and person to person communicator. I never found working with Alex challenging and I know his data science peers spoke highly of him. Alex is ready for the more senior roles on a data science team and is likely ready to lead other data scientists as well.
Alex Sadovsky
Alex is an awesome team member who would be an asset to any Data Science/AI organization. As one of my first hires at SurePrep he was forced to wear many hats from being a Data Scientist, to being a Cloud Engineer, to assisting in Dev-Ops and more. Alex quickly can take a client/customer need and help translate it into a quickly viable solution - and then iterate - which was perfect for helping our start up reach success in short order. Most importantly, Alex is a great personality that gets along well with many team members and helps others achieve their best. I strongly recommend him for any Machine Learning role, and I eagerly look forward to how he continues to succeed and build upon his impressive skillset going forward!
Ryan Johnson
Alex Tryforos is the kind of data scientist I would hire again and again for any data team I was leading. Alex possesses a combination of skills that is hard to find and very invaluable to a data science team. First, Alex is an expert in traditional statistics. Maybe you think this sounds boring, but keep in mind that all machine learning from simple binary classifiers to complex LLMs, are built upon statistical concepts like probability, distributions, and model fitting. Statistics is indeed the theoretical framework upon which ML is built. Specifically, I recall Alex being called in by two other talented data scientists because they were stuck trying to estimate how much of a classification problem they had actually solved (I.e. how should they think about ROI in their ML projects). Despite having plenty of his own work to do, Alex was able to help these scientists utilize some distribution estimates and clever statistics to help them reach a solution. There are countless ways Alex’s strong background in statistics is useful on any DS team. All that being said, Alex is also a modern data scientists with experience in machine learning algorithms and machine learning operations. I found Alex to be thirsty for knowledge in this area and a fast learner. I know he is highly capable working with complex ML classifiers in scaled production usage as well as new toys like LLMs. Alex also demonstrated some excellent soft skills when partnering with product managers. Initially, I assigned Alex to one team to meet their product needs. It quickly became clear that communication, clear goals, and consistent direction were hard to come by on this team. Nevertheless, Alex persevered and continued to deliver incremental value whenever he could get the support he needed. This ability to work with challenging partners and find ways to deliver value is another reason Alex is so valuable. Finally, Alex also excelled at communication. In particular his written reports describing his modeling and analyses were top notch. They were clear but also thorough. Highly technical but also easy to read. It’s hard to find scientists with the ability to explain their approaches in a highly organized and approachable manner. Alex also is a great presenter and person to person communicator. I never found working with Alex challenging and I know his data science peers spoke highly of him. Alex is ready for the more senior roles on a data science team and is likely ready to lead other data scientists as well.
Alex Sadovsky
Alex is an awesome team member who would be an asset to any Data Science/AI organization. As one of my first hires at SurePrep he was forced to wear many hats from being a Data Scientist, to being a Cloud Engineer, to assisting in Dev-Ops and more. Alex quickly can take a client/customer need and help translate it into a quickly viable solution - and then iterate - which was perfect for helping our start up reach success in short order. Most importantly, Alex is a great personality that gets along well with many team members and helps others achieve their best. I strongly recommend him for any Machine Learning role, and I eagerly look forward to how he continues to succeed and build upon his impressive skillset going forward!
Ryan Johnson
Alex Tryforos is the kind of data scientist I would hire again and again for any data team I was leading. Alex possesses a combination of skills that is hard to find and very invaluable to a data science team. First, Alex is an expert in traditional statistics. Maybe you think this sounds boring, but keep in mind that all machine learning from simple binary classifiers to complex LLMs, are built upon statistical concepts like probability, distributions, and model fitting. Statistics is indeed the theoretical framework upon which ML is built. Specifically, I recall Alex being called in by two other talented data scientists because they were stuck trying to estimate how much of a classification problem they had actually solved (I.e. how should they think about ROI in their ML projects). Despite having plenty of his own work to do, Alex was able to help these scientists utilize some distribution estimates and clever statistics to help them reach a solution. There are countless ways Alex’s strong background in statistics is useful on any DS team. All that being said, Alex is also a modern data scientists with experience in machine learning algorithms and machine learning operations. I found Alex to be thirsty for knowledge in this area and a fast learner. I know he is highly capable working with complex ML classifiers in scaled production usage as well as new toys like LLMs. Alex also demonstrated some excellent soft skills when partnering with product managers. Initially, I assigned Alex to one team to meet their product needs. It quickly became clear that communication, clear goals, and consistent direction were hard to come by on this team. Nevertheless, Alex persevered and continued to deliver incremental value whenever he could get the support he needed. This ability to work with challenging partners and find ways to deliver value is another reason Alex is so valuable. Finally, Alex also excelled at communication. In particular his written reports describing his modeling and analyses were top notch. They were clear but also thorough. Highly technical but also easy to read. It’s hard to find scientists with the ability to explain their approaches in a highly organized and approachable manner. Alex also is a great presenter and person to person communicator. I never found working with Alex challenging and I know his data science peers spoke highly of him. Alex is ready for the more senior roles on a data science team and is likely ready to lead other data scientists as well.
Alex Sadovsky
Alex is an awesome team member who would be an asset to any Data Science/AI organization. As one of my first hires at SurePrep he was forced to wear many hats from being a Data Scientist, to being a Cloud Engineer, to assisting in Dev-Ops and more. Alex quickly can take a client/customer need and help translate it into a quickly viable solution - and then iterate - which was perfect for helping our start up reach success in short order. Most importantly, Alex is a great personality that gets along well with many team members and helps others achieve their best. I strongly recommend him for any Machine Learning role, and I eagerly look forward to how he continues to succeed and build upon his impressive skillset going forward!
Ryan Johnson
Alex Tryforos is the kind of data scientist I would hire again and again for any data team I was leading. Alex possesses a combination of skills that is hard to find and very invaluable to a data science team. First, Alex is an expert in traditional statistics. Maybe you think this sounds boring, but keep in mind that all machine learning from simple binary classifiers to complex LLMs, are built upon statistical concepts like probability, distributions, and model fitting. Statistics is indeed the theoretical framework upon which ML is built. Specifically, I recall Alex being called in by two other talented data scientists because they were stuck trying to estimate how much of a classification problem they had actually solved (I.e. how should they think about ROI in their ML projects). Despite having plenty of his own work to do, Alex was able to help these scientists utilize some distribution estimates and clever statistics to help them reach a solution. There are countless ways Alex’s strong background in statistics is useful on any DS team. All that being said, Alex is also a modern data scientists with experience in machine learning algorithms and machine learning operations. I found Alex to be thirsty for knowledge in this area and a fast learner. I know he is highly capable working with complex ML classifiers in scaled production usage as well as new toys like LLMs. Alex also demonstrated some excellent soft skills when partnering with product managers. Initially, I assigned Alex to one team to meet their product needs. It quickly became clear that communication, clear goals, and consistent direction were hard to come by on this team. Nevertheless, Alex persevered and continued to deliver incremental value whenever he could get the support he needed. This ability to work with challenging partners and find ways to deliver value is another reason Alex is so valuable. Finally, Alex also excelled at communication. In particular his written reports describing his modeling and analyses were top notch. They were clear but also thorough. Highly technical but also easy to read. It’s hard to find scientists with the ability to explain their approaches in a highly organized and approachable manner. Alex also is a great presenter and person to person communicator. I never found working with Alex challenging and I know his data science peers spoke highly of him. Alex is ready for the more senior roles on a data science team and is likely ready to lead other data scientists as well.
Experience
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GoGuardian
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United States
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E-Learning Providers
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400 - 500 Employee
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Data Scientist II
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Jun 2022 - Present
- Developed GoGuardian’s inaugural student-level proficiency machine learning model, handling project scoping, data gathering, and SaaS product model deployment. Enhanced predictive performance to meet widely accepted industry standard of 0.8 correlation by generating additional metadata using LLMs. - Built and deployed an improved web-search classification NLP model, reducing relative false positives by 17x. - Developed a unified dimensional table by integrating disparate data… Show more - Developed GoGuardian’s inaugural student-level proficiency machine learning model, handling project scoping, data gathering, and SaaS product model deployment. Enhanced predictive performance to meet widely accepted industry standard of 0.8 correlation by generating additional metadata using LLMs. - Built and deployed an improved web-search classification NLP model, reducing relative false positives by 17x. - Developed a unified dimensional table by integrating disparate data sources from successive acquisitions to ensure consistent customer identity across all GoGuardian products. - Collaborated with cross-departmental stakeholders to incorporate data science and machine learning solutions, bolstering GoGuardian’s SaaS product suite. Show less - Developed GoGuardian’s inaugural student-level proficiency machine learning model, handling project scoping, data gathering, and SaaS product model deployment. Enhanced predictive performance to meet widely accepted industry standard of 0.8 correlation by generating additional metadata using LLMs. - Built and deployed an improved web-search classification NLP model, reducing relative false positives by 17x. - Developed a unified dimensional table by integrating disparate data… Show more - Developed GoGuardian’s inaugural student-level proficiency machine learning model, handling project scoping, data gathering, and SaaS product model deployment. Enhanced predictive performance to meet widely accepted industry standard of 0.8 correlation by generating additional metadata using LLMs. - Built and deployed an improved web-search classification NLP model, reducing relative false positives by 17x. - Developed a unified dimensional table by integrating disparate data sources from successive acquisitions to ensure consistent customer identity across all GoGuardian products. - Collaborated with cross-departmental stakeholders to incorporate data science and machine learning solutions, bolstering GoGuardian’s SaaS product suite. Show less
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SurePrep, part of Thomson Reuters
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United States
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Software Development
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200 - 300 Employee
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Data Scientist
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Mar 2021 - Jun 2022
- Applied computer vision and NLP techniques to create classification models for tax document automation. - Deployed machine learning models onto AWS; conducted load tests to ensure scalability; setup monitoring and retraining workflows. - Supported the complete lifecycle of machine learning solutions, encompassing project scoping, architectural design, implementation, and ongoing refinement through iterative improvements. - Applied computer vision and NLP techniques to create classification models for tax document automation. - Deployed machine learning models onto AWS; conducted load tests to ensure scalability; setup monitoring and retraining workflows. - Supported the complete lifecycle of machine learning solutions, encompassing project scoping, architectural design, implementation, and ongoing refinement through iterative improvements.
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Lumen Technologies
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United States
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Telecommunications
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700 & Above Employee
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Senior Data Scientist
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May 2020 - Mar 2021
- Built and deployed machine learning models on purchase and churn behaviors for Lumen’s Predictive Modeling Team - Designed and implemented programs/automation to collect, process, and analyze distributed data in SQL - Supported advertising trials by ensuring experimental groups were defined appropriately - Performed customer segmentation to construct five consumer profiles used to focus marketing strategies - Built and deployed machine learning models on purchase and churn behaviors for Lumen’s Predictive Modeling Team - Designed and implemented programs/automation to collect, process, and analyze distributed data in SQL - Supported advertising trials by ensuring experimental groups were defined appropriately - Performed customer segmentation to construct five consumer profiles used to focus marketing strategies
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Listing Agent Referral Services
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New Orleans, Louisiana, United States
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Data Scientist
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Oct 2018 - May 2020
- Developed transparent and interpretable predictive models for residential real estate assessments, emphasizing user-friendly insights - Produced and deployed web applications enabling users to interact with our real estate evaluation tool - Developed transparent and interpretable predictive models for residential real estate assessments, emphasizing user-friendly insights - Produced and deployed web applications enabling users to interact with our real estate evaluation tool
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Louisiana State University
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United States
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Higher Education
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700 & Above Employee
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Graduate Teaching Assistant
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Aug 2018 - May 2020
- Conduct weekly lectures for graduate-level ‘Statistical Modeling’ course - Taught fundamentals of Python programming for data analysis - Consult graduate students from other departments on using statistical techniques in research projects
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Graduate Research Assistant
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Aug 2018 - May 2020
- Implemented Machine Learning algorithms in Python/R for predictive analytics - Presented personal research paper at Entomological Society of America's annual conference 𝘈𝘱𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯 𝘰𝘧 𝘔𝘶𝘭𝘵𝘪𝘷𝘢𝘳𝘪𝘢𝘵𝘦 𝘈𝘥𝘢𝘱𝘵𝘪𝘷𝘦 𝘙𝘦𝘨𝘳𝘦𝘴𝘴𝘪𝘰𝘯 𝘚𝘱𝘭𝘪𝘯𝘦𝘴 𝘧𝘰𝘳 𝘞𝘦𝘦𝘷𝘪𝘭 𝘋𝘦𝘯𝘴𝘪𝘵𝘺 𝘌𝘴𝘵𝘪𝘮𝘢𝘵𝘪𝘰𝘯
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CenturyLink
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United States
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IT Services and IT Consulting
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700 & Above Employee
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Data Science Intern
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May 2019 - Jul 2019
- Created a Machine Learning Tutorial for Century Link Center of Excellence - Refined Python code and large data queries for users to improve efficiency on run time - Designed, trained, and maintained Anomaly Detection models to detect login failures on time series data - Created a Machine Learning Tutorial for Century Link Center of Excellence - Refined Python code and large data queries for users to improve efficiency on run time - Designed, trained, and maintained Anomaly Detection models to detect login failures on time series data
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Young Life
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United States
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Religious Institutions
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700 & Above Employee
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College Director
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Jul 2017 - Aug 2018
- Working as a community builder, event planner, job trainer, recruiter, counselor, teacher, and traveler to offer college-aged students new experiences and friendships in coordination with the vision of Young Life. - Investing in community through weekly meetings and dinners, and quarterly trips meant to recruit, train, and/or deepen current connections. - Creating weekly events, ranging from seminars to sixty person dinners in an effort to bring students from different… Show more - Working as a community builder, event planner, job trainer, recruiter, counselor, teacher, and traveler to offer college-aged students new experiences and friendships in coordination with the vision of Young Life. - Investing in community through weekly meetings and dinners, and quarterly trips meant to recruit, train, and/or deepen current connections. - Creating weekly events, ranging from seminars to sixty person dinners in an effort to bring students from different backgrounds together to learn about one another and a core message. - Recruiting, training, and teaching new leaders using curriculum from Young Life leadership training. - Counseling students through different collegiate experiences from Biblical precepts. - Traveling with students to expand horizons, perform acts of service, and grow relationships. Show less - Working as a community builder, event planner, job trainer, recruiter, counselor, teacher, and traveler to offer college-aged students new experiences and friendships in coordination with the vision of Young Life. - Investing in community through weekly meetings and dinners, and quarterly trips meant to recruit, train, and/or deepen current connections. - Creating weekly events, ranging from seminars to sixty person dinners in an effort to bring students from different… Show more - Working as a community builder, event planner, job trainer, recruiter, counselor, teacher, and traveler to offer college-aged students new experiences and friendships in coordination with the vision of Young Life. - Investing in community through weekly meetings and dinners, and quarterly trips meant to recruit, train, and/or deepen current connections. - Creating weekly events, ranging from seminars to sixty person dinners in an effort to bring students from different backgrounds together to learn about one another and a core message. - Recruiting, training, and teaching new leaders using curriculum from Young Life leadership training. - Counseling students through different collegiate experiences from Biblical precepts. - Traveling with students to expand horizons, perform acts of service, and grow relationships. Show less
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Louisiana State University
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United States
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Higher Education
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700 & Above Employee
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Calculus Teacher
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Jan 2018 - May 2018
- A semester-long internship at Lee Magnet High School teaching Calculus and Advanced Mathematics to students while garnering 600 hours of classroom teaching instruction - A semester-long internship at Lee Magnet High School teaching Calculus and Advanced Mathematics to students while garnering 600 hours of classroom teaching instruction
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LSU Department of Mathematics
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United States
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Higher Education
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1 - 100 Employee
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Mathematics Tutor
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May 2015 - Dec 2016
- Assisted and instructed over 600 students (per-semester) in learning trigonometry and advanced algebra - Assisted and instructed over 600 students (per-semester) in learning trigonometry and advanced algebra
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Education
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2018 - 2020
Louisiana State University
Master's, Applied Statistics -
2014 - 2018
Louisiana State University
Bachelor of Science - BS, Mathematics
Community
