Christopher Kish Email & Phone Number
@knewton.com
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Who is Christopher Kish? Overview
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Christopher Kish is listed as Principal Data Scientist with 15 years experience at Reef Media, a company with 2 employees, based in Santa Monica, California, United States. AeroLeads shows a work email signal at knewton.com and a matched LinkedIn profile for Christopher Kish.
Christopher Kish previously worked as Data Scientist Professional at Rsi and Data Science Consultant at C8 Sciences. Christopher Kish holds M.S., Aeronautics & Astronautics from Massachusetts Institute Of Technology.
Email format at Reef Media
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AeroLeads found 1 current-domain work email signal for Christopher Kish. Compare company email patterns before reaching out.
About Christopher Kish
I have 15 years of experience creating and leading business improvements from data. My passion is better utilizing data by understanding the effects of its context, through either data-centric AI or business intelligence for decision-making. A combination of management consulting, data science, and BI roles has given me expertise in the nuances of what data means and with what certainty based on the environments in which it was created and in which you want to use it.
Listed skills include Analytics, Sql, Python, Data Analysis, and 16 others.
Christopher Kish's current company
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Christopher Kish work experience
A career timeline built from the work history available for this profile.
Data Scientist Professional
* Created ML-team product infrastructure & processes with Databricks, Azure, and Azure AI Search * Built pipeline for fuzzy database record matching product using Spark, Databricks, a language model, a vector database, and a PowerBI monitoring dashboard* Created PoC system to find contextual word definitions using Spacy, LLama 3.1, and a vector database*.
Data Science Consultant
Fixed-term* Designed cognitive ability models for user behaviors on 2 games* Mentored & advised junior data scientistReason for leaving: Fixed-term
Senior Data Scientist
* Created company’s first machine-learning MLOps system to train and deploy a real-time model to populate a personalized list of songs using an in-memory vector database, Vertex, MLFlow, and Airflow* Wrote program to calculate feature values and send them to a feature store* Wrote program to retrieve features, train a model, and store the model* Analysed.
Senior Data Scientist
* Team lead for selling data insights* Design machine learning tools for pricing, promotion evaluation, etc.* Designed web & mobile app scraping processReason for leaving: Re-org soon after joining resulted in having a job quite different to the one I applied for
Lead Data Scientist
* Invented & programmed a production pipeline of several machine-learning and Bayesian models to optimize advertising campaigns of 10,000s of individual jobs (the main product of the company, which raised the largest amount of money by a careers company in Germany)* Built a recommendation system with Spark and Tensorflow, combining deep learning, matrix.
Senior Business Intelligence Manager
* Built a media mix valuation algorithm* Created a system to extract improvement points from customer survey free-text responses by building natural language processing tools* Programmed the computation & uploading of real-time bidding segments with Spark & machine learning* Built a machine-learning model to predict customer churn, improving performance.
Consultant
Developed machine learning solutions for a large organization to quicken knowledge acquisition and better predict outcomes of potential actions and participated in resulting sales meetings.Reason for leaving: Move to Germany
Data Analyst
* Led numerous projects designing analytics solutions to improve operations for both internal and external clients using a database of user actions with over 5B entries--quantified product efficacy, assessed performance of machine learning models of user behavior, and measured the impact of different content on user engagement* Developed a model for.
Consultant
* Advised team-leads through heads of a multi-billion dollar project by conducting ad hoc data analyses, building simulation models, developing metrics to manage the project, and forecasting future outcomes* Successfully predicted $2B of risk 2 years before it was realized for a $30B enterprise by building cost models from >1M data points* Contributed.
Environmental Economics Research Assistant
* Informed policy decisions by building multiple models from millions of data points to predict the impact of global commercial aviation noise on housing and rent values* Built a statistical model to conduct Monte Carlo analyses on millions of data points totaling >$100B in real estate & rent value, uncovering billions of dollars of potential benefits from.
Mechanical Engineer Intern
Research Assistant
Christopher Kish education
M.S., Aeronautics & Astronautics
B.S., Mechanical Engineering
Education record
Frequently asked questions about Christopher Kish
Quick answers generated from the profile data available on this page.
What company does Christopher Kish work for?
Christopher Kish works for Reef Media.
What is Christopher Kish's role at Reef Media?
Christopher Kish is listed as Principal Data Scientist with 15 years experience at Reef Media.
What is Christopher Kish's email address?
AeroLeads has found 1 work email signal at @knewton.com for Christopher Kish at Reef Media.
Where is Christopher Kish based?
Christopher Kish is based in Santa Monica, California, United States while working with Reef Media.
What companies has Christopher Kish worked for?
Christopher Kish has worked for Reef Media, Rsi, C8 Sciences, Soundcloud, and Delivery Hero.
How can I contact Christopher Kish?
You can use AeroLeads to view verified contact signals for Christopher Kish at Reef Media, including work email, phone, and LinkedIn data when available.
What schools did Christopher Kish attend?
Christopher Kish holds M.S., Aeronautics & Astronautics from Massachusetts Institute Of Technology.
What skills is Christopher Kish known for?
Christopher Kish is listed with skills including Analytics, Sql, Python, Data Analysis, Data Science, Strategy, Matlab, and Vba.
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