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John Como Email & Phone Number
DS @ BEES || Columbia DS
at
BEES
LinkedIn matched
✓ Verified May 2026
3 data sources
Profile completeness 100%
Current company
Role
DS @ BEES || Columbia DS
Location
New York City Metropolitan Area, United States, United States
Company size
Who is John Como? Overview
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Quick answer
John Como is listed as DS @ BEES || Columbia DS at BEES, a company with 824 employees, based in New York City Metropolitan Area, United States, United States. AeroLeads shows a matched LinkedIn profile for John Como.
John Como previously worked as Senior Data Scientist at Bees and Data Scientist at Bees. John Como holds Master Of Science - Ms, Data Science from Columbia Engineering.
Company email context
Email format at BEES
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BEES
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Profile bio
About John Como
John Como is a DS @ BEES || Columbia DS at BEES. He possess expertise in mathematics, c++, python, mathematica. Colleagues describe him as "I had the pleasure of teaching and mentoring John for a Full-Stack Web Development Bootcamp at the New York City Tech Talent Pipeline. I would highly recommend John to companies that are looking for Full-Stack Quality Engineering talent. John has unique capabilities to work on the frontend with JavaScript and React. For the backend, John has the Computer Science fundamentals with C++ and Java. In addition, John also has the technical skills to build mobile apps with React Native. For the capstone project, John and his team built a mobile fitness app with React Native. This group took the efforts to go above and beyond and learn a new stack that was not taught in class. John would make an excellent addition to an Engineering team that is looking for new grad technical talent and I would highly recommend him."
Listed skills include Mathematics, C++, Python, and Mathematica.
Current workplace
John Como's current company
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Bees
12 roles
John Como work experience
A career timeline built from the work history available for this profile.
Senior Data Scientist
Current
Nov 2024 - Present
Data Scientist
Jan 2024 - Oct 2024
Data Scientist
Sep 2023 - Dec 2023
Data Scientist
Working on representation learning applications via graph nerual netowrks. Namely leveraging PyTorch Geo to create embeddings, leveraging architectures such as GraphSAGE, GCN and GAT.
Jun 2023 - Aug 2023
Data Scientist / Engineer
Developed end to end pipeline for forecasting viewership of Sunday Football games. Incorporated minute by minute play data, and text data to enhance predictive engine. Pipeline orchestrated via Databricks Workflows.
Jan 2023 - Apr 2023
Data Engineer
As a data engineer at New Visions for Public Schools, I designed and developed a scalable modern data platform to facilitate data movements.Key Achievements:- Integrated Great Expectations and DBT into current data stack to increase the quality and speed of data workflows orchestrated via Apache AirFlow.- Led a team collaboration between marketing and data.
Nov 2021 - Jan 2023
Undergraduate Research Fellow
Selected to conduct research alongside Nicolas Carion.Key Achievements:- Implemented a Vision Transformer and one cell deep equilibrium model (DEQ) from scratch off state of the art publications.- Attempted to improve upon Vision Transformers architecture by embedding a DEQ cell in the Encoder.
Jan 2022 - May 2022
Data Scientist
As a data scientist intern, I worked alongside senior data scientists to improve upon existing models related to image processing and segmentation.Key Achievements:- Implemented a binary image segmentation model on sensor imagery data to segment the road from the surrounding environment.- Applied Euler angle parameterization to calculate the angle between.
Jun 2021 - Oct 2021
Software Engineer
Jan 2021 - Sep 2021
Teaching Assistant
Jun 2021 - Jul 2021
Junior Machine Learning Engineer
Worked with a team to predict population densities in different regions of the world.Key Achievements:- Processed output data from the YOLOv3 and Haystack model by combining the outputs of each to form a dataset representative of that species.- Implemented a recurrent neural network (RNN) to forecast populations.
Apr 2021 - Jun 2021
3 education records
John Como education
Master Of Science - Ms, Data Science
Columbia Engineering
Computer Science, Computer Science
Macaulay Honors College At The City University Of New York
Mathematics, Mathematics
Macaulay Honors College At The City University Of New York
FAQ
Frequently asked questions about John Como
Quick answers generated from the profile data available on this page.
What company does John Como work for?
John Como works for BEES.
What is John Como's role at BEES?
John Como is listed as DS @ BEES || Columbia DS at BEES.
Where is John Como based?
John Como is based in New York City Metropolitan Area, United States, United States while working with BEES.
What companies has John Como worked for?
John Como has worked for Bees, Nbcuniversal, Anheuser-Busch, New Visions For Public Schools, and Nyu Center For Data Science.
How can I contact John Como?
You can use AeroLeads to view verified contact signals for John Como at BEES, including work email, phone, and LinkedIn data when available.
What schools did John Como attend?
John Como holds Master Of Science - Ms, Data Science from Columbia Engineering.
What skills is John Como known for?
John Como is listed with skills including Mathematics, C++, Python, and Mathematica.
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