Hey! Nice to meet you.

Hey! I’m Jake. I’m a data nerd…or as we’re called in the biz, a data scientist.

Although I originally studied to be a chemical engineer, I’ve always had a passion for computer science (I minored in C.S. in undergrad) and this led to me working as a tech consultant in NYC for the past few years. In those few years, I’ve become absolutely enamored with the field of data science and love doing in-depth data analysis and creating informative data visualizations.

I mainly work with Python (pandas is bae) and SQL for my data analysis and wrangling, but am comfortable with various languages and packages. If you’re interested to see some of the code I’ve written, feel free to check out my github which has multiple repos I’ve made over the years, ranging from webscrapers and intagram bots to jupyter notebooks that pull, manipulate, and visualize financial data using various python packages.

This website is meant to be a portfolio of all of my side projects and some of my work and school projects. It’ll also have a bunch of my notes about data science, business, and life in general.

I’m always open to messages. I’m open to mentor, or be mentored. I’m interested in collaborations, freelance work, startups, and whatever else you have in mind.

You can email me or find me on LinkedIn. Also, if you enjoy cute dogs, just click that Instagram link on the left. And yes, I made an instagram for my dogs 🐶. They’re cute and deserve to be famous. I don’t care if it’s basic 😎.

Below you’ll find some more info on me.

Experience

Princeton Consultants, Inc. (Mar 2018 - Present)

Associate Consultant

Tech and management consultant in project management and software engineering roles for verticals including transportation, supply chain, human resources, and healthcare

Managed development and design of operation enhancements to a strategic crew planning application for a Class 1 national railroad offering $5M+ in annual savings
- Defined project plans and deliverables, and lead project execution through continuous task management and coordination between cross-functional teams
- Designed UX interfaces and created process/sequence diagrams and API documentation
Functioned as software engineer and project manager on multiple projects pertaining to the development of a next generation fleet management software application that promised $100M+ in annual savings and cost avoidance for a multinational shipping company
- Developed in full stack capacity in Angular/Javascript front end and C++ backend on a network simulator handling 200+ GB of flow data per day
- Created and maintained the automated testing suite containing 100+ unit test cases using Javascript and Postman
- Generated scripts for data mining and performed exploratory data analysis using Python, SQL, and Excel to inform major business decisions as well as uncover and amend underlying data issues
Full stack developer for a A.I. engine designed to optimize patient scheduling operations and improve overall treatment efficiency in hundreds of clinics around the country for a Fortune 500 healthcare company
- Designed and developed RESTful web application using Python/Flask with Angular front end, leading the implementation of the data services to handle data validation and interfacing with the A.I. model.
- Used various ideas from large-scale design, real-time data processing, data storage, and AI to solve challenging dataset problems.
- Developed app integration with REST and other APIs for Salesforce, SSO, and other services.

Columbia University (Sep 2016 - Dec 2017)

Graduate Research Assistant

Researcher at the Solar Fuels Engineering Lab developing improved electrochemical materials for use in renewable energy systems. P.I.: Dr. Daniel Esposito

Lead and completed project on novel electrocatalysts that exhibited enhanced performance for use in alcohol fuel cells, which offer promising applications to power portable electronics and clean energy vehicles
Designed experimental methods and analyzed data to draw conclusions in testing properties of catalysts
Authored publication based on findings that was deemed to be in the top 10% of academic manuscripts on catalysis