Big Data-driven insights analyst and scientist with a passion for innovative technology and developing elegant and efficient algorithmic solutions. Experienced in Search Engine Marketing, mobile apps, online video marketing, and evolutionary biological data. YouTube Certified and published author.

Senior Analyst @ From August 2015 to Present (5 months) Data Analyst @ Bridge the Data Science and Professional Services teams by developing Python scripts to fulfill ad hoc client requests for trend analysis and tool development. Productized a number of tools (automated video placements, calculated subscriber growth over time, automated daily search rank tracking). Developed a Video and YouTube Benchmark Evaluation tool to compare clients’ YouTube channel directly against competitors. Automated process to run exponentially faster. Built a logarithmic algorithm to backfill missing view data to help with data modeling and projections. Performed an in-depth case study of the online Beauty video industry for Google. From December 2014 to August 2015 (9 months) Data Scientist (Consultant) @ Analyzed trends within the mobile app game space and produced publications to drive SEO and rebrand the company from an app exchange platform to a mobile app data aggregator. Designed an app re-categorization model using NLP (Natural Language Processing) techniques, string tokenization, and bayesian estimators for a Fortune 20 customer. Advised on GBM (Gradient Boosted Machine) predictive models to estimate daily downloads, revenue, and active users using publicly available metrics. From August 2014 to October 2014 (3 months) Quantitative Data Analyst @ Built and optimized SEM (Search Engine Marketing) campaigns from scratch to drive high-quality and highly-converting traffic. Revitalized Cogo's approach to SEM by implementing time-of-day and day-of-week multipliers, geo-targeting, ad keyword optimization, clustering, and tokenization. Modeled a user's propensity to click on an image based on limited information using logistic regression to optimize on conversions and monetization. Created a Bootstrap Bounds tool to improve predictions on continuous variables with sparse data within an automated daily bidding algorithm. Designed it to be easily scalable and transferable to other applications. Vetted mobile app ad networks and other digital advertising companies to find profitable traffic sources (Applovin, Jumptap, Millennial Media, AdKnowledge, Inuvo) within the mobile and email spaces. Trained new quantitative data analysts and interviewed potential candidates. From July 2013 to August 2014 (1 year 2 months) Teaching Assistant @ Discrete Mathematics & Multivariable Calculus Peer tutor through Williams College Academic Resources From September 2011 to May 2013 (1 year 9 months) Head Baxter Fellow (Residential Advisor) @ From September 2010 to May 2013 (2 years 9 months) Figure Skating Instructor @ From October 2009 to March 2013 (3 years 6 months) Corporate Finance Intern @ Used statistical analysis to preemptively identify damaged jobs (potential annual savings of $5.5M per office) and review a benefit plan to increase worker efficiency. Presented results at weekly executive board meetings. Collaborated to develop a lease database to standardize records, increase efficiency, and minimize error. Tracked customer and competitor policy changes, financial results, and major decisions impacting the company. From June 2012 to August 2012 (3 months) West Palm Beach, Florida AreaCivil Society Development Intern @ From February 2012 to May 2012 (4 months) Biology Research Assistant @ Designed and performed original experiments for cutting-edge evolutionary genetic biology research. Discovered a male-instigated time to mate barrier to gene exchange in a cricket hybrid zone. Analyzed collected data using generalized regression modeling, ANOVA, posterior probability, and other statistical tests From June 2010 to January 2012 (1 year 8 months)

Bachelor of Arts, Mathematics & Statistics @ Williams College From 2009 to 2013 Council on International Educational Exchange, Arabic Language and Culture @ University of Jordan From 2012 to 2012 High School Diploma @ Worthington Kilbourne High School From 2004 to 2009 Joy Jing is skilled in: R, Teaching, Mandarin, Microsoft Excel, LaTeX, Mathematica, PowerPoint, Statistical Data Analysis, Quantitative Research, Statistical Modeling, Data Analysis, Python, Logistics, PostgreSQL, Figure Skating