Ruben Naeff's Email Addresses & Phone Numbers

Data scientist with passion for mathematical modeling as well as pragmatic solutions and real products. Deadline-driven, always delivers, owner beyond responsibilities. Background in strategy consulting, economic research, education, abstract mathematics. Curious, interdisciplinary, outgoing, hard-working, easy-going, keen interest in music. Side projects include: VoteLikeYouTweet.com predicting your vote based on tweets (currently online); KickMe predicting success of Kickstarter projects;...

Data scientist with passion for mathematical modeling as well as pragmatic solutions and real products. Deadline-driven, always delivers, owner beyond responsibilities. Background in strategy consulting, economic research, education, abstract mathematics. Curious, interdisciplinary, outgoing, hard-working, easy-going, keen interest in music. Side projects include: VoteLikeYouTweet.com predicting your vote based on tweets (currently online); KickMe predicting success of Kickstarter projects; YouOpera setting a user’s Facebook wall to music; GuessMyTweet letting the user guess who wrote the displayed tweet; KnewIt internal prediction market. Skills include: machine learning & statistics: regression, classification, clustering, dimension reduction, recommendations, linear algebra, linear/polynomial/logistic regression, regularization, Bayesian statistics, naive Bayes, kNN, random forests, ensemble learning, bootstrapping, bagging, boosting, k-means, PCA, SVD, NLP, LSA, neural networks, item response theory, graph theory, tournament ranking, feedback arc set. Familiar with: python, ipython, numpy, pandas, scipy, sklearn, igraph, graphx, matplotlib, seaborn; C++, Objective C, XCode; SQL, PostgreSQL, Looker; Flask, Jinja2, HTML5, CCS, PHP, JavaScript; AWS, EC2, S3, Redshift, Hadoop, MapReduce, Spark, unix, bash; git, gerrit, github; Matlab, Excel, etc.Data Science Instructor @ Lead instructor of long-form data science course. Highest acclaim for course notes: github.com/ga-students/DAT-23-NYC Course in analysis & visualization, modeling & predicting, and scaling & deploying, covering: Unix, ETL, SQL, python, numpy, pandas, scipy, sklearn, matplotlib, seaborn, linear algebra, machine learning, supervised and unsupervised learning, regression and classification, clustering and dimensionality reduction, kNN, linear regression, logistic regression and regularization, Bayesian statistics, naive Bayes, decision trees and random forests, ensemble learning, k-means, PCA, SVD, recommendation systems, Hadoop, MapReduce, Spark, and various topics TBD. Guest industry speakers. Students will present their own projects from data collection to predictions. From June 2015 to Present (5 months) Greater New York City AreaData Scientist @ Data Scientist in Knewton's Adaptive Products Team • Primary data scientist responsible for development from scratch of Knewton’s 3rd product, Content Insights, offering such metrics as content exhaustion, assessment quality, question difficulty, duration, incl. reliability and impact indication • Leading to significant additional revenue per client • Continuous iterations with beta partners and managers in product, partnerships and databases, direct client contact • Designed and researched models, developed production code, QA'ed with content experts, contributed to UI • First author of 2014 NIPS paper on maximum accuracy of predictions using Item Response Theory on massive datasets • Several jobs with Python, AWS, EC2, S3, Redshift, Azkaban, Looker, SQL Knewton is an education technology company that personalizes digital courses so every student is engaged and no one slips through the cracks. As students progress through a Knewton-powered course, Knewton figures out what each student knows and how that student learns best, then recommends what to study next. Teachers use Knewton-powered predictive analytics to detect gaps in knowledge and differentiate instruction for each student. From March 2014 to Present (1 year 8 months) New York CityMusic Composer @ 1999-present Composed music for orchestra, ensembles, chamber groups, dance and film, for stellar musicians - Music presented in many countries across Europe, Asia and America, including NYC’s Bang on a Can Marathon, Aspen’s Summer Music Festival, Amsterdam's Grachtenfestival, and Hong Kong’s Intimacy of Creativity - Many radio broadcasts - CD release of De Bètacanon (2008), commissioned by newspaper de Volkskrant, profitable release, only own music - Development website youopera.org that sets a user’s Facebook wall to music - Won multiple prizes, grants and honorable mentions for own music; often selected in calls for scores - Awarded merit-based HSP Huygens Scholarship: full tuition plus stipend for 2-year NYU studies 2010-present - Founding co-director & financial manager of West 4th New Music. Webmaster w4newmusic.com - Co-produced 15+ concerts so far, including Moby Dick for singers and chamber orchestra - Realized budget surpluses, managing assets, fund raising activities: grant-writing, crowdfunding, merchandise, etc. From April 2007 to Present (8 years 7 months) New York CityTeacher in Math / Dutch / Music @ Daytime job to support music composing activities. • High school mathematics teacher at Cristo Rey Brooklyn HS and Cathedral HS, through Catapult Learning. Algebra I, II, Geometry, SAT, ACT (gr. 9-11). Fingerprinted NYCDOE • Dutch teacher at ABC Language, individual and corporate classes (adults) • Freelance work as math tutor at Partners with Parents, substitute math teacher at SchoolPlus, music composition teacher at Aspen Music Festival & School. • Past teaching experience include music composition at Muziekgebouw aan ‘t IJ, private math tutor, Mathematica computer programming teacher From July 2012 to March 2014 (1 year 9 months) New York CityEconomic Researcher @ Antitrust agency of the Dutch Ministry of Economic Affairs, formerly known as Netherlands Competition Authority (Dutch equivalent to the U.S. Federal Trade Commission) • Data analysis in financial industry, enforcing fair competition and regulating mergers and acquisitions • Managed quantitative assessments of competition in such markets as insurance policies, consumer credits and loan syndications. Advised European Commission on European Block Exemption for insurance industry. Assisted police enforcement in dawn raids, investigations and interrogations • Founder and financial manager of young employees platform. Organized many educational events, also internationally. Supported new hires and represented their voice at Board. Realized budget surplus The Authority for Consumers & Markets, Competition Department, (formerly known as the Netherlands Competition Authority or NMa) enforces fair competition in all sectors of the Dutch economy, takes action against parties who participate in a cartel or abuse a dominant position (both antitrust) and assesses mergers and acquisitions (merger control). From January 2008 to June 2010 (2 years 6 months) The Hague, NetherlandsAssociate Consultant @ International top-tier strategy consulting firm based on four continents (competing with McKinsey, BCG, Bain, etc.) • Strategy consulting: advising board and senior management in corporate and business strategy • Responsible for problem-solving, researching business writings, interviewing industry experts, performing highly quantitative analyses of markets and operations, writing professional presentations • Assisting sale of leading € 900M public transport company, conducted thorough performance analyses • Other projects include due diligences for private equity firms; launch of knowledge database OC&C is a global strategy consulting firm, helping the board and senior management addressing complex issues in areas such as corporate strategy, business strategy, strategic realization and transaction support. From September 2006 to November 2007 (1 year 3 months) Rotterdam, NetherlandsSeveral positions @ Part-time functions at the Concert Hall for the 21st Century on marketing, public services, children’s Sound Play Yard and catering From 2001 to 2006 (5 years) Amsterdam, NetherlandsMaster of Music, Music Composition, 4.0 @ New York University From 2010 to 2012 Master of Science (MS), Mathematics, Algebraic Geometry @ Universiteit van Amsterdam From 2004 to 2005 Bachelor of Science (BS), Mathematics, 4.0 @ University of Amsterdam From 1999 to 2004 Composition and musicology @ Various schools for music From 2000 to 2006 High School, 4.0 @ Barlaeus Gymnasium te Amsterdam From 1993 to 1999 Ruben Naeff is skilled in: Music, Data Analysis, Orchestral Music, Economics, Composition, Analysis, Research, Statistics, Business Strategy, Data Science, Dutch, Teaching, Machine Learning, Python, International Relations, Management Consulting, Mathematics, Objective-C, English, C++, Xcode, Strategy, HTML, HTML5, SQL, Flask, CSS