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Niels Joaquin

VP of Data Science and Data Engineering at Thinx

New York, NY, US

About

I am a data scientist and a senior technical leader, always looking for exciting ways to apply mathematical methods. My foundations are in statistics and economics, and I have played a role in all data areas of a company, from the modeling of data warehouses to the development of novel machine learning solutions. My experience spans academic research, e-commerce, retail, health and wellness, and mobile software. https://nielsj.medium.com/what-i-worked-on-small-time-data-scientist-edition-a2f2b6598168

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Work experience

  1. April 2021 – present

    Thinx Inc.

    VP of Data Science and Data Engineering
  2. June 2020 – February 2021

    Maven Clinic

    Sr. Director of Data Science
    Maven Clinic is a telemedicine company focusing on women's health. - Developed the early stages of machine learning models for the prediction of C-sections and NICU admissions at the patient level
  3. July 2017 – June 2020

    Care/of

    VP of Data Science
    - Founded the data science team and scaled it to six people from scratch: three data scientists, two analysts, and one data engineer. Sourced and recruited very actively and often handled the recruiting pipeline end to end - Wrote the original data pipeline: Airflow running Python and SQL jobs, all Dockerized and deployed to AWS - On the ML side, supervised my data scientists across various projects in computer vision (object detection for quality control, image recognition for mobile apps), assembly-line simulation, subscription churn, customer clustering, and health tracking https://medium.com/careof-tech/health-programs-our-vision-for-software-and-data-at-care-of-e66c6c187494
  4. May 2015 – July 2017

    FiftyThree Inc.

    Head of Data Science
    FiftyThree was a mobile software company that created Paper, a sketching app that won Apple's iPad App of the Year. FiftyThree was acquired by WeTransfer in 2018. - First data hire for the company. Established the analytics stack from the ground up: (1) ETL that processes millions of app events per day, using an open-source tool (Luigi) to coordinate Python and SQL jobs (2) a Redshift data warehouse (3) a visualization tool for business intelligence - On the machine learning side, prototyped several exploratory projects in image recognition and NLP using scikit-learn, TensorFlow, and Keras
  5. June 2013 – May 2015

    Bonobos

    Manager of Data Science
    - Covered a wide range of data needs as the second data hire at Bonobos, from foundational ETL and reporting tools to statistics and analytics - Improved relevance of email marketing with collaborative filtering and a random forest model
  6. August 2010 – June 2013

    Groupon

    Product Manager
    Product Manager 2013 - Managed a critical project to overhaul inventory tracking as the most common deal structure changed to span multiple time periods Business Intelligence Analyst 2012 – 2013 - Automated five sales performance dashboards for the largest department at Groupon, integrating data from various sources and saving many hours of manual analyst work per week Operations and Data Manager, Editorial 2010 – 2012 - Scaled the editorial site administration team from 10 to 100 people through active recruiting and people management as the company rapidly expanded
  7. July 2008 – July 2009

    University of Chicago Booth School of Business

    Research Professional
    - Research professional for Professor Luigi Zingales - Data wrangling and regression analysis for various academic papers on behavioral economics and finance
  8. June 2007 – July 2008

    Kellogg School of Management

    Research Assistant
    - Research assistant for Professor Paola Sapienza - Assisted large-scale experiments using z-Tree, standard software for economics experiments - Simulated economic models with MATLAB
  9. January 2005 – January 2007

    Harvard University

    Research Assistant
    Research Assistant 2005 – 2007 - Research assistant for Professor Attila Ambrus - Used Mathematica and MATLAB to verify mathematical proofs. Created graphs and figures for game-theoretic models Course Assistant 2005 – 2007 - Undergraduate teaching assistant for "Calculus, Series, and Differential Equations" and "Linear Algebra and Differential Equations" - Planned and led weekly section, graded problem sets, tutored at Math Question Center. Received high course evaluations from students Tutor and Math Instructor 2004 – 2005 - Designed and taught the first Advanced Placement course at Madison Park Technical Vocational High School, Calculus AB, to two students under the supervision of the Harvard Graduate School of Education

Education

  1. 2004 – 2007

    Harvard University

    Bachelor of Arts (A.B.), Economics