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Ilan Man

295 St. Marks Ave, Apt 2B • Brooklyn, NY • 11238
917 941 7323 •

Professional Profile

Data Scientist with technical expertise in advanced statistical modeling and machine learning, Python, R, MySQL and data analysis. Comfortable extracting useful insights from large, unstructured data sets. Avid blogger and presenter at technical, industry meet-ups. Former consultant with excellent communication and presentation skills. Entrepreneurial drive with the ability to learn quickly and independently. ___

Technical Skills

  • Python (ipython/scipy/pandas/numpy/sci kit learn/matplotlib), R (ggplot2/caret/dplyr), Javascript/d3.js, Apache Spark, MongoDB, MySQL, vim, HTML/CSS
  • Statistical/Bayesian modeling and machine learning
  • User acquisition, A/B testing, churn, and customer LTV modeling

Education and Achievements

  • Duke University, MSS Candidate                                           Aug 2015 - May 2017
    • Statistical Science
  • University of Toronto, Honors, Bachelor of Science            Sept 2002 - Dec 2006
    • Actuarial Science and Statistics
  • Fellow of the Society of Actuaries, December 2009

Professional Experience

Paperless Post    May 2017 - Present

Head of Data             New York, New York

Paperless Post is innovating on tradition and redefining the way you connect with people both online and off. Beautiful design meets seamless technology.

  • Advanced Modeling and Machine Learning
    • Built a model that classifies user events into categories used by the business team for marketing, strategic and operations ends
  • Statistics and Analytics
    • Rebuilding A/B testing platform to use Bayesian approach
  • Engineering and Infrastructure
    • Built ETL processes and data pipelines connecting clickstream event data to AWS Redshift
  • Leadership
    • Managing Analytics, Data Science and Data Engineering team

Automated Insights    May 2016 - Aug 2016

Data Scientist               Durham, North Carolina

Automated Insights automates reports and articles using Machine Learning and Natural Language Processing tools.

  • Advanced Modeling and Machine Learning
    • Implemented a Bayesian A/B testing framework and multi-armed bandit algorithms
    • Offered insights on user behavior using machine learning models, including time to activation and user engagement
  • Natural Language Processing and Generation
    • Modeled NLP tool as a graph structure, providing the ability to analyze sentence structure, synonym usage and logic branching for all templates a user can generate
  • Statistics and Analytics
    • Prototyped internal dashboards tracking user subscriptions, cohorts analysis, churns and testing results
    • Facilitated identification of key metrics for success with marketing and sales teams
  • Leadership
    • Led, trained and mentored 3 person Analytics team

Squarespace                    May 2013 - Jul 2015

Manager, Data Science    New York, New York

Squarespace provides creative tools that help anyone give a voice to their ideas.

  • Advanced Modeling and Machine Learning
    • Developed models to cluster commerce users to better provide them with relevant and targeted features
    • Created classification model to predict probability of churn or subscription given a user’s behavior patterns
  • Statistics and Analytics
    • Developed Bayesian A/B testing framework, informing Product and Marketing decisions.
    • Performed time-series analysis on trials and subscription patterns, resulting in outlier detection and forecasting models
  • Data Visualization
    • Used d3.js to create internal, real time dashboards to display various commerce user metrics
  • Leadership
    • Mentored junior Analytics team and led technical knowledge sharing sessions on topics like Naive Bayes and Statistics fundamentals

Metropolitan Telecommunications    Jan 2013 - May 2013

Data Scientist Consultant                     New York, New York

MetTel is a rapidly growing telecommunications company servicing enterprise-sized clients throughout the U.S.

  • Performed statistical and data-driven analysis, and provided recommendations for large, national clients
  • Conducted hypothesis tests, regression and text analysis, to optimize client spend and increase retention

HowAboutWe        Sep 2012 - Jan 2013 Data Consultant    Brooklyn, New York

HowAboutWe is an Internet dating startup helping users find others who share similar interests and activities.

  • Completed analysis project alongside Senior Data Scientist to determine the impact of answering questions when a user registers for the site
  • Analysis resulted in a deeper understanding of the correlation between user behavior and profile completion informing a series of A/B tests that significantly increased profile information, ultimately leading to users going on more successful dates

Ernst & Young                                         Sep 2010 - Jan 2013 Consultant, Financial Services Office    New York, New York

Ernst & Young is a “Big 4” professional services and accounting firm.

  • Provided financial consulting services for large and mid-size banks and insurance companies
  • Performed data analytics on large and complex customer databases and communicated with clients

Munich Reinsurance                        Mar 2007 - Aug 2010 Actuary, Individual Life Insurance    Toronto, Ontario

Munich Reinsurance is one of the world’s leading life and health reinsurers, and the largest reinsurer operating in Canada.

  • Created complex projection models for insurance companies
  • Served as client liaison for the largest life insurers in Canada

Teaching Experience

Girl Develop it                   Jul 2016 Data Science Instructor    Durham, North Carolina

Girl Develop It provides affordable opportunities for women interested in learning web and software development.

  • Taught a 4 week Python for Data Science class, covering topics including Python basic, Functions, Numpy, Linear Regression and Text Analysis motivated by real data sets. Click here for the curriculum.

Extracurricular Activities

  • Active blogger -
    • Covering Data Science topics including Machine Learning and programming in R and Python
  • Regular presenter at Data Meetups
  • Avid marathoner and triathlete, having completed multiple Half Iron Men and 100+ mile bicycle races
  • Avid and active real estate investor; currently serving as treasurer and accountant for real estate partnership
  • Interests: traveling, cooking, live music, reading, philosophy and current events