Experience:
AdTech, Mobile Advertising, RTB
Attribution, Funnel, KPIs & Metrics
User Activity, Engagement, Behavior, Segmentation and Personalized User Experiences
Key Strategy Insights, Cross Team Communication, Process Improvement and Product Development
Visualizations, KPI Dashboards, Story Telling and Presentations
CPC, CPM, CPA, CPI Campaigns
Data Science & Engineering Interests:
High Curiosity
Dealing with Vague Business Problems
Data Wrangling/Dirty Data
Experience:
AdTech, Mobile Advertising, RTB
Attribution, Funnel, KPIs & Metrics
User Activity, Engagement, Behavior, Segmentation and Personalized User Experiences
Key Strategy Insights, Cross Team Communication, Process Improvement and Product Development
Visualizations, KPI Dashboards, Story Telling and Presentations
CPC, CPM, CPA, CPI Campaigns
Data Science & Engineering Interests:
High Curiosity
Dealing with Vague Business Problems
Data Wrangling/Dirty Data
Feature Extraction/Data Enrichment
Scalable Machine Learning
EDA/Research/Applied Statistics
Machine Learning algorithms
Visualizations/Dashboarding/Drill Down Interactive Reporting
Communicating Key Strategy Insights
Product Development/Building Data Pipelines/Hardcore Engineering
Online User Behavior/User Segmentation
Problem Solving
Skill Set:
Java, SQL, Python, R, AWS (Redshift, EC2, S3), Apache Spark, NoSQL etc.
Links:
www.gurpreetsinghny.com
www.github.com/harry1357931
Data Scientist @ AdTheorent is a technology company that is transforming mobile advertising through data-driven predictive solutions. AdTheorent's machine learning technology - the Real Time Learning Machine™ (RTLM) - combines millions of data attributes into precise and accurate adaptive models for the purpose of identifying optimal audiences.
• Played leading role in running Cost Per Action(CPA) campaigns, built predictive
models to boost performance and reduce CPA
• Performed lot of EDA on massive datasets to analyze patterns, filter out noisy data, clean dirty data, feature extraction, model selection etc. using SQL, Python, Apache Spark & Java
• Built Predictive Models using wide range of Classification/Clustering Algorithms and signals
from Geolocation, Context, 1P & 3P data
• Engineered, Developed & Tested Data Transformation & Model Scoring Engine for scoring
billions of ad requests on RTB platform From October 2013 to Present (2 years 3 months)
Bachelor of Science (BS), Computer Science, Major GPA: 3.98 @ Queens College From 2010 to 2013 Computer Science, Major GPA: 4.0 @ Hunter College From 2010 to 2011 Gurpreet Singh is skilled in: Python, SQL, Machine Learning, Java, Algorithms, C++, Research, R, Programming, Predictive Modeling, Distributed Systems, Software Engineering, Apache Spark, Amazon EC2, Amazon S3
Websites:
http://www.gurpreetsinghny.com
Looking for a different
Gurpreet Singh?
Get an email address for anyone on LinkedIn with the ContactOut Chrome extension