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Russell Avdek, SQL Developer in Oakland, CA, United States
Russell Avdek

SQL Developer in Oakland, CA, United States

Member since October 11, 2018
Russell is now available for hire
Russell Avdek, SQL Developer in Oakland, CA, United States
Russell Avdek

SQL Developer in Oakland, CA, United States

Member since October 11, 2018
I help improve businesses using data. This often means empowering data-driven decision making, process automation, and optimizing performance through analysis, engineering, and the development of intelligent systems. I have 6 years of industry experience working with data science, engineering, product, and marketing teams and love working collaboratively to achieve big-impact results which delight customers and business partners.
Russell is now available for hire

Portfolio

  • Sonder
    Python, Redshift, AWS, Heroku, Machine learning, Jenkins, Flask, JavaScript
  • Stitch Fix
    Python, Spark, AWS, Machine learning, Flask
  • Rentpath
    Python, Docker, Jupyter, Optimizely

Experience

  • Python, 6 years
  • Pandas, 6 years
  • SQL, 6 years
  • Scikit-learn, 5 years
  • Flask, 3 years
  • AWS S3, 3 years
  • Redshift, 3 years
  • Spark, 3 years
Oakland, CA, United States

Availability

Part-time

Preferred Environment

Python

The most amazing...

...system I've build was client-stylist matchmaking at Stitchfix. Similar to Uber matching riders and drivers but for personal stylists.

Employment

  • Lead Data Engineer

    2018 - 2018
    Sonder
    • Built data warehouse, scheduler, and tooling for analysts and data scientists to publish pipelines and ML models.
    • UX researched, designed, and built a web app which uses anomaly detection and data visualization to improve workflows of analysts.
    Technologies: Python, Redshift, AWS, Heroku, Machine learning, Jenkins, Flask, JavaScript
  • Data Scientist

    2015 - 2017
    Stitch Fix
    • Developed 2-sided marketplace optimization engine with two engineers which put into production an ecosystem of ML models and fed their outputs to a system owned by applications engineering teams.
    • UX researched, designed, and built web applications to be used by operation teams which monitor the performance of their reports.
    • Developed a platform for data scientists to develop and execute CRM experiments. Used the platform to deploy experiments which had a critical impact on user growth and retention in partnership with marketing and design teams.
    • Developed a number of ML models to predict customer behavior and their interactions with marketing and promotional campaigns.
    Technologies: Python, Spark, AWS, Machine learning, Flask
  • Data Scientist

    2014 - 2015
    Rentpath
    • Managed deployment of front-end user experience experiments, organizing collaboration between product, engineering, and analytics teams.
    • Planned UX experiments and performed analysis to understand user behavior and contextualize impact of product changes for PMs.
    • Developed tooling (such as containerized coding environments) to improve the workflow of data scientists.
    Technologies: Python, Docker, Jupyter, Optimizely
  • Data Scientist

    2013 - 2015
    Zoosk
    • Lead an analysis to understand the key causes of user chum and providing associated product recommendations.
    • Collaborated with UX researchers to understand customer segmentation according to attitudinal and user-behavioral data.
    • Designed market research surveys and analyzed their results to better understand public sentiment around our product and our competitors and its variation over time.
    • Mined user behavioral data to produce data stories for PR. My data stories have appeared in Good Morning America, Business Insider, and TIME.com among many others.
    • Created statistical models to understand the efficacy of offline marketing campaigns and PR events.
    Technologies: Python, SQL

Experience

  • Professional Profile Miner (Development)

    Developed web scrapers which would mine employment data from job listing websites with the intention of creating a data product for recruiters. This data was used to model recruiting and employment cycles and employees and employers. Technologies used: Python, Selenium, PostgreSQL, and machine learning.

Skills

  • Languages

    Python, SQL, JavaScript
  • Libraries/APIs

    Scikit-learn, Pandas
  • Frameworks

    Flask, Spark, Django
  • Storage

    Redshift, PostgreSQL, Redis, AWS S3

Education

  • Ph.D. in Mathematics
    2008 - 2013
    University of Southern California - Los Angeles, CA
  • Bachelor of Science degree in Mathematics
    2004 - 2008
    Stony Brook University - Stony Brook, NY
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