Business Analyst
2017 - PRESENTGoogle- Optimizing Google street car itineraries.
- Building analytics interfaces and DW for process optimization.
Technologies: D3.js, Tableau, Python, BigQuery, SQLData Science Fellow
2016 - 2016Galvanize- Created a full-scale NLP pipeline with Spark and Doc2Vec to detect sensitive material in movie subtitles and classify the movies according to the MPAA censorship ratings.
- Experimented with Frequentist and Bayesian frameworks for A/B Testing and applied to numerous use cases.
- Detected fraud in a large dataset of transaction data and built a monitoring dashboard using Flask, pulling data from MongoDB and displaying them with matplotlib.
- Analyzed, visualized, and predicted churn likelihood in transportation data from a ride-sharing app using Gradient Boosted Trees, SVMs, Random Forests, and ensembling techniques.
- Built a recommendation engine for jokes based on like data from the Jester dataset using matrix factorization and collaborative filtering techniques.
Technologies: Scikit-learn, GraphLab, MongoDB, Flask, Spark, PythonData Science Consultant
2016 - 2016Tractable- Researched Tractable.io and developed proprietary machine learning algorithms, with a focus on deep learning for computer vision.
- Detected fraud in car insurance claims by implementing random walks on bipartite graphs. Python.
- Predicted price of car parts by applying scalable collaborative filtering methods on car insurance audit data.
Technologies: PythonBusiness Intelligence Manager
2014 - 2015MONOQI- Led the business intelligence department and its business analyst team for a 1 million member startup.
- Ensured data quality and information access by building dashboards and data pipelines from various sources and designing the data warehouse. Used SQL, AWS S3/Redshift/DP, and Ruby on Rails.
- Accelerated daily newsletter generation time by a factor of 10 by initiating and supervising partial automation of the creation process.
- Automated bidirectional data flows between the internal data warehouse and external marketing partners using Python.
Technologies: Amazon Web Services (AWS), Python, Ruby on Rails (RoR), Ruby, D3.js, AWS Data Pipeline Service, Amazon S3 (AWS S3), Redshift, PostgreSQLJunior Data Scientist
2013 - 2014MONOQI- Identified 70% of future buyers by building a neural network model on early days activity. R, SQL.
- Built and managed 100+ analytics dashboards and a custom interface for visualizing metrics. Used Ruby on Rails, NVD3.js, and SQL.
- Increased conversion rate by 20% for members in disengagement phase through A/B Testing programs.
Technologies: D3.js, PostgreSQL, Ruby on Rails (RoR), Ruby, R