Nicholas S. Email & Phone Number
Who is Nicholas S.? Overview
A concise factual answer block for searchers comparing this professional profile.
Nicholas S. is listed as Senior Machine Learning Engineer at FanDuel, a company with 201 employees, based in Atlanta, Georgia, United States. AeroLeads shows a matched LinkedIn profile for Nicholas S..
Nicholas S. previously worked as Senior Machine Learning Engineer at Condé Nast and Machine Learning Engineer at Condé Nast. Nicholas S. holds Bachelor Of Science - Bs, Industrial Engineering from Georgia Institute Of Technology.
Email format at FanDuel
This section adds company-level context without repeating Nicholas S.'s masked contact details.
Review company-level records connected to Nicholas S. before choosing the right outreach path.
About Nicholas S.
Experienced machine learning and data engineer. As an individual contributor, I have designed and built large scale MLE and DE products in multiple industries. In the systems I build, I care about continuous improvement, code maintainability, and data integrity. As a team member, I enjoy both mentoring and learning from my peers, and fostering healthy discussion on how to build the best team environment and product.
Nicholas S.'s current company
Company context helps verify the profile and gives searchers a useful next step.
Nicholas S. work experience
A career timeline built from the work history available for this profile.
Senior Machine Learning Engineer
- I served as both an individual contributor, where I designed and implemented large scale ML products used in consumer publishing, and also as force multiplier, where I strove to both learn from and empower other.
- Tech lead on audience segmentation machine learning platform modeling 1000+ segments. Built with Python and Pyspark, deployed with Docker, running on AWS EC2, and orchestrated with Airflow
- Lead design and development on streaming NLP pipeline for content embeddings and classification. Built with Spark streaming, PyTorch, and Databricks feature store
- Reduce operational costs by 56% by aligning with stakeholder needs, reducing network traffic, and tuning compute usage
- Implement data validations to ensure data integrity on model inputs and outputs
- Improved organizational best practices by automating CI/CD with running unit and integrations tests and automated deployments to all stages of the SDLC
Machine Learning Engineer
Data Engineer
- Led implementation of data pipeline utilizing AWS Glue, Airflow, and RDS to populate vehicle descriptions
- Built and maintained ETL pipelines using EMR and Pyspark representing vehicle lifecycle from sale to shop to scrap
- Led design and implementation of organization wide monitoring and alerting solution with Lambda, CloudWatch and Slack and PagerDuty
- Improved reliability of ETL pipelines decreasing job failure rate by 50% each quarter for past two quarters
Undergraduate Researcher (Machine Learning)
- Developed generalized framework to generate strong perturbations for adversarial training
- Assisted PhD students in designing and running experiments
- Assisted PhD students with writing PyTorch code implementation
Erp Intern
- Assisted the Enablement team’s Extended Systems and Integrations to deploy Workday to Georgia Tech financial systems
- Assisted in analysis, planning, and documentation of integration requirements for software deployment
- Assisted in building integrations in Eclipse (Workday Studio) to deploy Workday
- Built automated task reports to facilitate team workflow
Intern
- Developed product-supplier identification & qualification standard operating procedure
- Improved workflow of company from qualifying 2 products/month to 15 products/month
- Launched 5 products, and qualified over 30 products over the summer
Colleagues at FanDuel
Other employees you can reach at fanduel.com. View company contacts for 201 employees →
Matthew Heffley
Colleague at Fanduel
New York, New York, United States, United States
View →
JK
Jeremy Katchen
Colleague at Fanduel
Los Angeles County, California, United States, United States
View →
JB
Jacob Blangsted-Barnor
Colleague at Fanduel
United States, United States
View →
TB
Taylor Burdette
Colleague at Fanduel
Atlanta Metropolitan Area, United States, United States
View →
AD
Angel Dones
Colleague at Fanduel
United States, United States
View →
MA
Mustafa Ahmad
Colleague at Fanduel
Fort Lauderdale, Florida, United States, United States
View →
BV
Banushree Venugopal
Colleague at Fanduel
Columbus, Georgia, United States, United States
View →
MT
M. Trey Sofka
Colleague at Fanduel
Orlando, Florida, United States, United States
View →
KK
Kristen Kinley
Colleague at Fanduel
Atlanta, Georgia, United States, United States
View →
JS
Jordan Sharp
Colleague at Fanduel
Greater Indianapolis, United States
View →
Nicholas S. education
Bachelor Of Science - Bs, Industrial Engineering
Bachelor Of Arts - Ba, Economics And Mathematics
Frequently asked questions about Nicholas S.
Quick answers generated from the profile data available on this page.
What company does Nicholas S. work for?
Nicholas S. works for FanDuel.
What is Nicholas S.'s role at FanDuel?
Nicholas S. is listed as Senior Machine Learning Engineer at FanDuel.
Where is Nicholas S. based?
Nicholas S. is based in Atlanta, Georgia, United States while working with FanDuel.
What companies has Nicholas S. worked for?
Nicholas S. has worked for Fanduel, Condé Nast, Cox Automotive Inc., Brooksource, and Georgia Institute Of Technology.
Who are Nicholas S.'s colleagues at FanDuel?
Nicholas S.'s colleagues at FanDuel include Matthew Heffley, Jeremy Katchen, Jacob Blangsted-Barnor, Taylor Burdette, and Angel Dones.
How can I contact Nicholas S.?
You can use AeroLeads to view verified contact signals for Nicholas S. at FanDuel, including work email, phone, and LinkedIn data when available.
What schools did Nicholas S. attend?
Nicholas S. holds Bachelor Of Science - Bs, Industrial Engineering from Georgia Institute Of Technology.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial