Payton Soicher Email & Phone Number
@ssbinfo.com
LinkedIn matched
Who is Payton Soicher? Overview
A concise factual answer block for searchers comparing this professional profile.
Payton Soicher is listed as Owner at Hooz LLC, based in United States. AeroLeads shows a work email signal at ssbinfo.com and a matched LinkedIn profile for Payton Soicher.
Payton Soicher previously worked as Creator at Rankings Right Now and Director of Machine Learning at Wurl. Payton Soicher holds Master Of Science - Ms, Analytics from Georgia Institute Of Technology.
Email format at Hooz LLC
This section adds company-level context without repeating Payton Soicher's masked contact details.
AeroLeads found 1 current-domain work email signal for Payton Soicher. Compare company email patterns before reaching out.
About Payton Soicher
I am a data scientist with experience in the education and sports & entertainment sectors. My background is in mathematics and statistics, with an emphasis in actuarial science from Washburn University and a Master's in Analytics from Georgia Tech. Some of my skills are coding in python for data processing and predictive analytics, data management in SQL Server, and data visualization in Tableau and Power BI. I am passionate about consulting with companies about how their data can take them to the next level.The views expressed in my posts are my own.
Listed skills include Mathematical Modeling, Microsoft Sql Server, Python, Data Analysis, and 21 others.
Payton Soicher's current company
Company context helps verify the profile and gives searchers a useful next step.
Payton Soicher work experience
A career timeline built from the work history available for this profile.
Creator
CurrentCreator of Rankings Right Now, a machine learning based web application that predicts college football rankings in real time.
Director Of Machine Learning
- Managed team of three machine learning engineers, data engineer, data analyst and ML intern to build ML pipelines using neural networks, NLP, XGBoost, clustering, GNN and ALS recommendation models- Lead machine learning teams for digital marketing campaigns and yield optimization of impression bids- Created user embeddings based on viewership habits to fuel other downstream machine learning models like brand affinities and estimated political affiliations- Designed scalable pipelines to handle tens to hundreds of digital marketing campaigns for targeting on CTV and mobile platforms- Architected NLP project to categorize TV episodes into clusters for viewer affinity associations used in digital advertising campaigns- Implemented A/B testing architecture for digital marketing campaigns for flexible analysis and data tracking for downstream statistical analysis- Optimized machine learning data model pipelines using Snowflake DBMS and Databricks Spark platform handling hundreds of millions to tens of billions of records on a nightly basis- Engineered and visualized simulation results derived by Markov Chain and advanced probabilistic models estimating campaign performance under specified constraints- Implemented automated campaign manager tool to track health of all digital marketingcampaigns and make automatic adjustments to fulfill campaign goals
Manager Of Machine Learning
Lead Machine Learning Engineer
Data Scientist
• Created time series forecasts and logistic regression machine learning models using R to predict future in game spending trends• Theorized and computed dynamic game strategies with cluster and predictive modeling• Worked together with game developers to productionize machine learning experience classifications from telemetry data back into the game for enhanced user experience• Significantly improved automated reports and visualizations by writing dynamic SQL into Python scripts for sustainable database architecture• Generated reports on user behavior in different game modes to segment different user type behaviors• Assisted in ETL pipelines and dynamic scripts using Python, MySQL and AWS Redshift handling billions of daily telemetry data points• Developed Tableau reports analyzing new game modes and interest points for the user experience team• Collaborated with Live team in promotional sales to drive user engagement
Data Scientist I
• Designed machine learning models using Python and Docker images for scalable machine learning solutions in the education and sports & entertainment sectors• Work with machine learning packages Scikit-Learn, Keras, Pandas, Numpy and Matplotlib• Implemented classification programs to predict retention rates, prospect identification, likelihood to donate, and probability of attending an event• Applied regression algorithms for identifying future large donors for universities
Bi Developer
• Engineered and implemented a database application to handle sponsorship data and communicate with front end functionality for two of the largest sports and entertainment companies in the United States.• Architected and created data models that handled premium suite revenues documenting millions of dollars for two of the largest sports and entertainment companies in the United States.• Aided the implementation of ETL, data warehousing, and visual reporting for email marketing, financial data, and financial donations for one of the largest universities in the United Sates.• Create data visualization reports for professional sports companies displaying intuitive fan demographics and statistical analysis using Tableau and Power BI.• Assisted in creating an algorithm that calculated marketing opportunities for hotels handling billions of records in Redshift for AWS.• Oversaw all Python code in technical due diligence for consulting branch of SSB.• Handled reports for different tourism groups that displayed top countries and major statistical areas that searched and booked hotels from different areas in the world.• Worked with professional sports teams and higher education to manage their ticketing, merchandise, concessions, and customer databases.
Central Intelligence Intern
Work with clients that need help and guidance with database management regarding Q&A for CRM and MDM. Also using SSMS and Tableau for reporting purposes and data visualization to give clients a better vision of trends in data.
Mathematics Tutor
Worked face to face with students who needed additional tutoring help in mathematics and statistics. Specialized in fundamental math, statistics, calculus, regression analysis, and time series forecasting.
Saac Member
Served as student-athlete liaisons between happenings on campus, in conferences and at national levels.
Payton Soicher education
Master Of Science - Ms, Analytics
Bachelor Of Science - Bs, Mathematics And Statistics
Frequently asked questions about Payton Soicher
Quick answers generated from the profile data available on this page.
What company does Payton Soicher work for?
Payton Soicher works for Hooz LLC.
What is Payton Soicher's role at Hooz LLC?
Payton Soicher is listed as Owner at Hooz LLC.
What is Payton Soicher's email address?
AeroLeads has found 1 work email signal at @ssbinfo.com for Payton Soicher at Hooz LLC.
Where is Payton Soicher based?
Payton Soicher is based in United States while working with Hooz LLC.
What companies has Payton Soicher worked for?
Payton Soicher has worked for Hooz Llc, Rankings Right Now, Wurl, Playstation, and Ssb.
How can I contact Payton Soicher?
You can use AeroLeads to view verified contact signals for Payton Soicher at Hooz LLC, including work email, phone, and LinkedIn data when available.
What schools did Payton Soicher attend?
Payton Soicher holds Master Of Science - Ms, Analytics from Georgia Institute Of Technology.
What skills is Payton Soicher known for?
Payton Soicher is listed with skills including Mathematical Modeling, Microsoft Sql Server, Python, Data Analysis, Public Speaking, Amazon Redshift, Sql Server Integration Services, and Sql Server Reporting Services.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial