In past roles, I have worked as a Backend Engineer on the business platform team at CA Technologies, working to make scalable, highly available, intelligent, self-service web applications supporting business operations. I have also worked as a Data Scientist at a publishing company Rodale, focusing on determining the main revenue drivers for the digital side of the business (advertising, web products, e-commerce).
My current success in industry is based on experiences working as a Physicist and Researcher, analyzing big data collected from nuclear colliders and designing the next generation of collider experiments.
My strengths include software development in Python, data wrangling, building data pipelines, and working with graph databases (specifically Neo4j). In short, I just like to figure stuff out and am good at doing so. Flexible, agile, able to adapt and change.
Head of Data Ingest NY, Lead Data Engineer
Knoema
Joined Knoema as part of the acquisition of Adaptive Management and promoted to Lead Data Engineer for the NY Data Ingest team. Primary responsibilities include:
- Building and maintaining ETLs.
- Client engagement and delivery.
- Quality assurance on ETLs built and deployed.
Data Engineer
Adaptive Management
Data Engineer on the Data Ingest team, building robust ETLs to keep data flowing to clients. Responsibilities include:
- Ingested data from over 40 alternative data providers, dealing with many different data structure and access patterns.
- Maintained good data provider and client relationships by building reliable and robust ETL pipelines, ensuring consistent flow of data.
- Designed and built an entity resolution service to map input companies in raw data to our internal company identifiers, allowing roll up of many different sources of data under the single company umbrella.
- Data Engineering as a Service work, working directed with clients to build custom data pipelines and delivery solutions. //
- Designing and implementing a CI/CD process around custom ETLs built for clients.
Principal, Data Engineer
CA Technologies
Backend engineer on the business platform team designing, developing, maintaining and debugging backend services supporting the web applications built for the internal sales, marketing, and executive teams. Main projects include:
- A contact targeting system helping sales people create targeted lists for different business focuses (Renewals, Prospecting, Cross-sell). Includes a search component using Azure Search and a recommendation model I built using K-means clustering for cross-selling products.
- A sales and marketing campaign planning tool giving structure and record keeping for sales and marketing strategy efforts. Includes integration to the contact targeting system and a manager's dashboard to divide up contact lists and email to individual sales reps.
- A data catalog tool with an ontological layer.
Data Scientist
Rodale
Data Scientist on the Data Science and Growth team, focused on driving investigations to determine the specific content that are the strongest revenue drivers. Responsibilities and projects included:
- Analysis applying NLP methods segmenting articles into topics, indentifying most engaging and viewed content.
- Work with various teams for ad-hoc reporting and analyses on data sourced from Google Analytics, Chartbeat, DFP.
- Automate various reports send out via various methods such as an online dashboard, emailed Excel files, Google Sheet updates, or Dropbox uploads.
- Manage A/B testing on product websites using Google Optimize.
- Set up web tracking tags using Google Tag Manager, integrating into Google Analytics.
Data Science Fellowship
The Data Incubator
Graduate of the Data Science bootcamp The Data Incubator, an intensive program designed to give additional training to academics in technical fields with advanced degrees to help enter industry. Focus was on hands on projects that included:
- Web scraping project to extract individual names from picture captions to build a social network, using Python, BeautifulSoup, NetworkX, regex.
- Analysis of Stack Overflow data to identify "veteran" users based on early activity history, using Soark and Scala.
- Applying machine learning techniques to predict restaurant ratings based on rating text.
- Capstone Project:
CitiBike Helper App
Built a web application around CitiBike bike sharing data in NYC. Includes a model (Random Forest) to predict the number of expected riders in a given area of the city based on weather condition, a live feed to show nearby stations and number of free bikes and open spots. Application is built using Python, Pandas, scikit-learn, and deployed on Heroku.
View Github
Research Associate/Physicist
Brookhaven National Lab
Physicst and research scientist designing the next generation of experiments planned at the laboratory (a planned $1B upgrade). My focus was developing Monte Carlo simulations representing particle interactions with magnetic fields and materials in detector components (eg. EicROOT). I worked with the magnet and accelerator scientists to refine the layout of the interaction region in the accelerator and study how different detector configurations will affect the quality of various measurements that comprise the indended scientific program, as well as estimate the required run time to achieve a certain statistical precision and develop analysis tools for measurements.
Main site
Wiki page
Research Associate/Physicist
Stony Brook University
Physicist and researcher doing data analysis using data collected from the PHENIX experiment at Brookhaven National Lab. This is me. My focus in this position was doing Monte Carlo simulations to model a specific type of background in the experiment.
December 2013PhD in Physics
Stony Brook University
PhD in the field of nuclear physics, doing big data analysis on data collected by the PHENIX experiment located at Brookhaven National Lab.
December 2013Research Assistant/Physicist
Stony Brook University
Physicist and researcher doing data analysis using data collected from the PHENIX experiment at Brookhaven National Lab. Focus was on data analysis on terabytes of data, utilizing the computing farm at the laboratory to run analysis and simulation code. I developed a novel method of signal identification (a photon entering into the detector), which allowed the first quality measurement in this energy range for experiments at the facility. This has spawned several follow up and extended analysis by others based on my work. Some interesting aspects of the work included:
- Modeled the shape of the matter produced in nuclear collisions by doing a Fourier decomposition.
- Modeled known sources of background using Monte Carlo simulations to subtract from signal, using combinatorial and event mixing techniques.
- Developed a novel technique to identify photons in the detector.
- Estimated uncertainty in the measurement to understand the statstical significance comparing to theoretical models.
- Wrote analysis, data processing and simulation code using ROOT, a C++ based analysis package.
Teaching Assistant
Stony Brook University
Ran college physics laboratory classes, graded labs and exams, and help office and homework help hours.
September 2005BS in Physics and Mathematics
SUNY Brockport
May 2005Citi Bike Helper App
This project was my Capstone project from my time at The Data Incubator. It invovled created an applicition to peruse data from Citi Bike Sharing in NYC and included a model to predict ride demand in particular areas of the city.
Personal Finance Tool
This was just a fun side project to help build a tool for my family to use to keep track of personal expenses.
Integrating the Design of Detectors and Collider Interaction Region for an Electron-Ion Collider
This is the main project I worked on as a post-doc at Brookhaven National Lab under a grant by the US DOE. The scope was to design critical detector components
Direct Photons as a Probe of Heavy Ion Collisions
This project was the crux of my PhD dissertation, where I made a unique contribution to the scientific body of information on the Quark Gluon Plasma. I developed a novel photon identification technique which allowed first time access to the energy range measured. The technique I pioneered was applied to many other data sets by students and researchers following my lead.
Get in Touch
