Architecting and building software infrastructure to orchestrate reusable machine learning components (data analysis and transformation, data validation, model training, model evaluation and validation, and serving infrastructure), with support for continuous training and serving with production-level reliability.

https://www.meetup.com/NYC-Data-Science-Study-Group/Motivated to help people break into the field of data science, I helped formed the NYC Data Science Study Group and grow it from 0 to over 4,500 members as of January, 2018. Our events regularly draw 80 to 100 software engineers, students, and data enthusiasts every month. Responsibilities:‣ Moderating panel discussions with industry experts‣ Sourcing speakers and venues‣ Presenting and leading workshops‣ Sponsorship and partnership outreachOur efforts to give back to the NYC tech community wouldn't be possible without help from our friends at companies like Squarespace, Vimeo, Uber, Spotify, Blue Apron, as well as bootcamps like Insight Data Science, Metis, and General Assembly. Thank you!

‣ Worked on a real-time analytics platform capable of processing 1.5 billion peak events a day‣ Implemented streaming statistical analysis over multi-terabyte web traffic data, with particular emphasis on low latency and high velocity (Kafka, Storm, Cassandra, Redis) ‣ Built new Storm topology to archive processed traffic data into HDFS‣ Created various Python, Java, and Spark ETL jobs to support data products and APIs‣ Ad-hoc report generation and data cross-validation via Hive‣ Helped organize workshops on machine learning and Spark for internal engineering team (Scikit-learn, Spark MLlib)

Guest lecturer for GA's Data Science Immersive program.Lecture topics:‣ Hyperparameter optimization using grid search, random search, and Gaussian processes.‣ Natural language processing (NLP) and sentiment analysis using word2vec

Responsible for engineering tasks across TPM's entire technology stack, ranging from devops, to backend development, to UX and design.

Full-stack Rails development focusing on data-driven eCommerce projects

Rode on a self-supported, solo bicycle tour, covering 4,180 miles from New Jersey to Seattle, WA.

Lead development of equity research for the Automobile industry, following MSCI’s acquisition of Innovest.Constructed large suites of data models, including forecasts for alternative powertrain vehicle sales of major automakers based on oil price scenarios.Liaised with reporters from the New York Times, WSJ, and New Yorker Magazine to advance the understanding of environmental and social risk on investments.Worked closely with the Director of Research to transform MSCI’s ESG product into the world’s go-to source for ESG investment research.(MSCI Environmental, Social, and Governance (ESG) Research is the world's premier provider of products and services to quantify and financially value the environmental, social, and governance-related business practices of thousands of companies worldwide.)

Authored detailed company and industry reports, used by institutional investors and wealth managers, that focus on quantifying and financially valuing the environmental and social impacts of Fortune 500 companies. Presented research at global client seminars and sales meetings. Trained over 30 new analysts on research methodology across our global offices in Boston, Toronto, Paris, and Bangalore.Worked to expand the company’s equity coverage universe, leading up to Innovest’s $16 million acquisition by RiskMetrics Group.(Innovest provides in-depth research, ratings, and analysis of the environmental, social, and governance-related business practices of the world's largest companies.)

One of four authors for the Carbon Disclosure Project’s 2007 Global 500 Report. Collected and analyzed GHG emissions data, accounting for 14% of global anthropogenic emissions, and carbon reduction strategies for 383 companies. » https://www.cdproject.net/CDPResults/CDP5_FT500_Report.pdf(The Carbon Disclosure Project provides institutional investors and corporate executives with a unique analysis of how the world's largest companies are responding to climate change.)

Oversaw and executed trades for a $10 million portfolio based on fundamental and technical analysis.Helped to develop proprietary trading strategies and provided training to junior traders.(KL Financial is a long/short equity hedge fund focused primarily in the technology industry with $275 million in assets under management.)