Neville Jos, Developer in New York, NY, United States
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Neville Jos

Verified Expert  in Engineering

Data Scientist and Developer

Location
New York, NY, United States
Toptal Member Since
March 23, 2021

Neville is a data scientist with 8+ years of experience building data infrastructures, analyzing data for business impact, and producing research reports, all focusing mainly on the fintech sector. He has managed teams of up to 10 researchers, analysts, and programmers with the sole objective of increasing revenue for clients. Most recently, Neville was the research manager of BI at Better Mortgage, managing a team to analyze data on ROI, borrower backgrounds, and recruiting systems.

Portfolio

Hearst
React, Magento
TDK
Python 3, Neo4j, Amazon Web Services (AWS), D3.js, Data Lakes, Redshift...
Nextplat
Node.js, Strapi, Web 3.0, TypeScript, Serverless

Experience

Availability

Part-time

Preferred Environment

Python, Neo4j, Finance, Data Science, SQL, Node.js

The most amazing...

...project I've worked on was a complete redesign of the recruiting system at a 1B valuation startup, using financial analysis and data science.

Work Experience

Senior Front-end Engineer

2022 - 2023
Hearst
  • Completely revamped the front end for a multi-catalog eCommerce seller.
  • Launched a new website in production for tens of thousands of users. Only had to fix a few minor bugs three months post-launch.
  • Rearchitected and streamlined hundreds of thousands of lines of outdated code to be simpler, straightforward, and debuggable.
Technologies: React, Magento

Senior Data Scientist

2022 - 2022
TDK
  • Advised a multi-billion corporation on a strategy to create a product that would help shave off hours on the process of generating new PCB boards.
  • Worked with industry experts in EMC compliance to build an expert system that would analyze a PCB board design and automatically flag violations before the board was created.
  • Created front-end interactive platform using D3.js to visualize weaknesses in a given PCB board and recommended fixes.
Technologies: Python 3, Neo4j, Amazon Web Services (AWS), D3.js, Data Lakes, Redshift, Analytics, Data Analytics, Reports, Serverless

Technical Architect

2022 - 2022
Nextplat
  • Designed architecture for eCommerce brands to create, sell and manage NFTs.
  • Coded the back end to interact with Venly and Wyre to manage receiving payments through cryptocurrencies or FIAT.
  • Ensured the architecture made the ability to create and sell NFTs within five clicks.
Technologies: Node.js, Strapi, Web 3.0, TypeScript, Serverless

Contract CTO

2021 - 2022
Cryptix
  • Developed back-end infrastructure, a React Native application, and a React admin portal for the ticketing application for one of the largest Mexican soccer teams.
  • Designed UX to ensure that any ticket can be purchased within three button clicks without a required sign-in.
  • Contributed to the code currently being tested and looking to be deployed at a 20,000 person stadium in March 2022.
Technologies: Node.js, Elasticsearch, React, React Native, Amazon Web Services (AWS), Python 3, OAuth, Back-end Development, Back-end Performance, Stripe, Express.js, Docker, DevOps, CI/CD Pipelines, Microservices, Stripe API, Reports

Senior Front-end Engineer

2021 - 2022
EveryDay Labs
  • Developed an entire front-end application from scratch to track absenteeism rates for students.
  • Finished a production-level application in 3 months with testing.
  • Oversaw the deployment of an application to multiple school districts and had very minimal bugs along the way.
Technologies: React, JavaScript, Apollo, GraphQL, OAuth, Express.js, Docker, DevOps, CI/CD Pipelines, Microservices, TypeScript, Reports, Google Analytics

Senior Back-end Engineer

2021 - 2021
Workboard
  • Designed and implemented the entire back-end infrastructure for a real-time whiteboard collaboration application.
  • Built a working prototype within three months and passed internal testing for 10s of users simultaneously collaborating within the application.
  • Made case to engineering leads to switch from SQL database to graph-based databases to increase performance for the application.
  • Made migration from Cosmos DB to Neo4j within two weeks due to performance bottlenecks from the former.
Technologies: Node.js, Socket.IO, Neo4j, Azure, Azure Cosmos DB, Graphs, Back-end Development, Back-end Architecture, Back-end Performance, Express.js, DevOps, CI/CD Pipelines, Microservices, WebSockets, TypeScript, Jest, Serverless

Senior Data Analyst

2021 - 2021
Mach49
  • Developed data models to understand last and mid-mile trucking fleets.
  • Built research reports to show cost savings for changing driver behaviors or trading vehicles earlier/later.
  • Presented the research to stakeholders at truck fleet companies with cost savings of $1 million or more per client.
Technologies: Excel 2016, Python, Data Analysis, SQL, Complex Data Analysis, Python 3, Analytics, Data Analytics, Reports, Google Data Studio, Microsoft Power BI

Research Manager

2020 - 2020
Better Mortgage
  • Managed a team of researchers and data scientists to predict which applicants to prioritize in the hiring process. This led to an increase in hiring conversion and a decrease in cycle time.
  • Produced research reports for the entire company on the ROI generated by certain loan products, which were previously unknown, and led the push to stop trying specific loan products until costs could be managed.
  • Served as the personal analyst to the CEO, producing quick research reports within 3-5 days to answer pressing questions he had about the business regarding borrowers, loans, and the mortgage industry as a whole.
  • Taught a weekly class for analysts on how to perform useful data analysis and introduced basic concepts in finance.
  • Built a data modeling framework to categorize data for the entire company to use so that research from different departments could be shared and collaborated upon.
Technologies: Data Science, Excel 2016, Python, Looker, Tableau, Machine Learning, Macroeconomics, Mortgages, Management, Data Modeling, Data Cleaning, Business Intelligence (BI), PostgreSQL, Finance, Risk Models, Presentations, Bloomberg, Research, Bonds, Data Analysis, Ontologies, Data Architecture, SQL, Amazon Web Services (AWS), Databases, JSON, Data Engineering, Data Pipelines, Data, ETL, Predictive Analytics, Fintech, Data Visualization, Dashboards, APIs, REST APIs, RDBMS, Leadership, Financial Data Analytics, Complex Data Analysis, Python 3, Stripe API, Data Lakes, Redshift, Analytics, Data Analytics, Reports, Google Data Studio

Chief Technology Officer

2019 - 2020
Rose AI
  • Developed an entire research platform (back end, front end, and databases) to be used by a macro hedge fund to allow any analyst with no programming background to build live, complex financial trading signals.
  • Produced research reports on inflation, growth, and the Chinese financial system (which was reported in the Financial Times).
  • Recruited and managed a team of five engineers with an Agile workflow, which included building product roadmaps and designing sprints.
  • Allowed users to upload and download gigabytes of table data by using compression algorithms in conjunction with AWS S3 for fast querying.
Technologies: Python, Neo4j, MongoDB, Redis, Communication, Presentations, Sales, Management, Data Cleaning, Data Modeling, Business Intelligence (BI), API Architecture, AngularJS, Node.js, PostgreSQL, Finance, Data Science, Excel 2016, React, Machine Learning, Apache Kafka, Research, Artificial Intelligence (AI), Security, Data Analysis, Ontologies, Amazon EC2, Amazon S3 (AWS S3), Data Architecture, SQL, AWS Elastic Beanstalk, Amazon Web Services (AWS), Databases, JSON, Data Engineering, Data Pipelines, Data, ETL, Front-end, Redux, SaaS, JavaScript, Predictive Analytics, Fintech, Data Visualization, Dashboards, APIs, REST APIs, RDBMS, CSS, HTML, CTO, Leadership, Bloomberg, Angular, Full-stack, Financial Data Analytics, Complex Data Analysis, Python 3, OAuth, Back-end Development, Back-end Performance, Stripe, Express.js, Docker, DevOps, CI/CD Pipelines, Microservices, Asyncio, WebSockets, Stripe API, Data Lakes, Redshift, Analytics, Data Analytics, Reports, Google Analytics, Google Data Studio, Serverless

Analyst

2016 - 2019
Black Snow Capital
  • Produced research on macroeconomic trades, including G20 real rates/inflation, housing bubbles, gold prices, and the banking system in China.
  • Built systematic trading systems that would watch market data from Bloomberg, clean/merge/combine them into signals, and trade them on Interactive Brokers using risk parity.
  • Analyzed risk in our portfolio, including leverage, volatility, correlations, betas to global markets, and options, such as Delta Dollar and Greeks.
Technologies: Macroeconomics, Trading, Risk Models, Excel 2016, Python, Tableau, Presentations, Interactive Brokers API, Bloomberg, Bonds, API Architecture, Finance, Data Science, Looker, Machine Learning, Real Estate, Research, Mortgages, Management, Data Cleaning, Business Intelligence (BI), Data Analysis, Amazon EC2, Data Architecture, SQL, AWS Elastic Beanstalk, Amazon Web Services (AWS), Databases, Data Pipelines, Data, ETL, JavaScript, Predictive Analytics, Fintech, Data Visualization, Dashboards, APIs, REST APIs, Python 3, Stripe, Stripe API, Data Lakes, Analytics, Data Analytics, Reports

Software Engineer

2015 - 2016
Graviton (Formerly Aurora)
  • Redesigned and implemented back-end infrastructure for a Mexican bank to take advantage of microservices. Different servers were used for different tasks, used different languages, and scaled independently.
  • Built and maintained four of ten microservices, including a routing server, logging server, user management server, and front-end web page.
  • Deployed, scaled, and monitored 80 servers on AWS Elastic Beanstalk.
  • Traveled to Chihuahua, Mexico, to discuss data needs with government officials and to perform on-site analysis.
Technologies: Python, Go, PostgreSQL, Ontologies, Node.js, AngularJS, API Architecture, AWS Elastic Beanstalk, Amazon EC2, Amazon S3 (AWS S3), Amazon ElastiCache, Flask, MongoDB, Data Science, Excel 2016, Redis, Security, Data Architecture, SQL, Amazon Web Services (AWS), Databases, JSON, Data Engineering, Data Pipelines, ETL, Front-end, SaaS, JavaScript, Predictive Analytics, Fintech, Data Visualization, APIs, REST APIs, RDBMS, CSS, HTML, MySQL, CTO, Angular, Full-stack, Python 3, Back-end Development, Stripe, Express.js, Docker, DevOps, Microservices, Asyncio, Jest, Stripe API, Google Analytics, Serverless

Back-end Engineer

2014 - 2015
Limelight Mobile
  • Built back-end infrastructure from scratch, using Node.js and MongoDB.
  • Implemented video and image uploads, compression, and streaming.
  • Oversaw the launch of an application that led to 10,000 downloads for our MVP.
Technologies: Node.js, MongoDB, Videos, Image Compression, Amazon Elastic Transcoder, Redis, Security, Amazon EC2, Amazon S3 (AWS S3), Data Architecture, SQL, AWS Elastic Beanstalk, Amazon Web Services (AWS), Databases, JSON, Front-end, JavaScript, APIs, REST APIs, RDBMS, CSS, HTML, Full-stack, OAuth, Back-end Development, Back-end Performance, Stripe, Express.js, Docker, DevOps, Microservices, WebSockets, Jest, Google Analytics, Social Networks

Website Developer

2013 - 2014
Illinois Public Service Institute
  • Developed a platform to track water, soil, and sediment statistics across the state of Illinois and provide reports in real time.
  • Extended the platform to be used by scientists and researchers across the Illinois research organizations to track climate change.
  • Designed the platform from scratch and managed the project single-handedly.
Technologies: Active Server Pages (ASP), jQuery, SQL Server DBA, Excel 2016, Redis, Amazon EC2, Data Architecture, SQL, Databases, JSON, Front-end, JavaScript, PHP, REST APIs, CSS, HTML, WordPress

Naivya | Misinformation Tracker

http://www.naivya.com
A web-based application that allows voters to identify the source of misinformation on the internet. I led the entire development, using Python, React, Neo4j, and PostgresSQL. The application has been used by two gubernatorial candidates in Mexico and one United States senate campaign for early detection of rumors being spread and identification of bots that have been set up to spread false information.

Initial Result: The application identified a network of 100 bots spreading rumors about a client, which was reported to Twitter to be shut down.

The PonyApp | Social Media for Horse Riders

A web, iOS, and Android application that allowed horse riders to manage their schedules, take care of their horses, and share updates. I led the back-end development to convert an existing scheduling application into a social media application for horse lovers, using PHP and React Native. I also hired and managed an iOS engineer to make fundamental changes in a legacy application.

Results: The changes led to a 500% increase in user engagement, especially from inactive users. The application had 3,000 daily users, 60,000 total users, and 4.5 stars on the App Store.

Armaments | Weapons Tracker

http://www.armaments.us
A sensor company that attached hardware to weapons to live track statistics about the weapon, such as weapon direction, whether it was firing, and bullets remaining. I architected, implemented, and scaled the entire cloud infrastructure, supporting the live stream sensor data from weapons at a rate of 500 packages per second, using Python, Node.js, and Apache Kafka. I also built dashboards to monitor the sensors using Elasticsearch and Kibana.

Results: The infrastructure I developed allowed the client to scale the number of live stream weapons to 100 on a very limited budget and allowed them to secure another round of funding from the United States Department of Defense.

DealStart | Real Estate Modeling for Any Deal

http://www.dealstart.com
A web-based application that can analyze any real estate transaction in a singular framework that standardizes calculations, such as IRR, equity, and NPV, and matches you with investors looking to add similar properties to their portfolio. I led the architecture and implementation of the entire tech platform from scratch, using AngularJS, Python, Node.js, and PostgresSQL.

Result: The platform onboarded 50 clients and helped facilitate one real estate transaction within one year of development.
2016 - 2018

Master's Degree in Data Science

University of Illinois at Urbana-Champaign - Urbana Champaign, IL, USA

2013 - 2016

Bachelor's Degree in Computer Science

University of Illinois at Urbana-Champaign - Urbana Champaign, IL, USA

Libraries/APIs

React, Node.js, Interactive Brokers API, REST APIs, Stripe, Stripe API, Stanford NLP, Asyncio, jQuery, Socket.IO, D3.js

Tools

Excel 2016, Tableau, Bloomberg, Google Analytics, Kafka Streams, Kibana, Looker, Amazon ElastiCache, Microsoft Power BI

Frameworks

AngularJS, Redux, Express.js, React Native, Angular, Jest, Laravel, Ember.js, Flask

Languages

Python, SQL, JavaScript, CSS, HTML, Python 3, GraphQL, TypeScript, PHP 5, PHP, Go, Active Server Pages (ASP)

Paradigms

Data Science, Business Intelligence (BI), API Architecture, ETL, Back-end Architecture, DevOps, Microservices, ETL Implementation & Design, Management

Platforms

AWS Elastic Beanstalk, Amazon EC2, Amazon Web Services (AWS), Docker, Apache Kafka, Heroku, Azure, WordPress, Magento

Storage

PostgreSQL, MongoDB, Redis, Amazon S3 (AWS S3), Databases, JSON, RDBMS, MySQL, Neo4j, Elasticsearch, Data Pipelines, Data Lakes, Redshift, SQL Server DBA, Azure Cosmos DB

Other

Research, Communication, Data Cleaning, Data Modeling, Data Analysis, Data Architecture, Data Engineering, Data, Front-end, SaaS, Predictive Analytics, Fintech, Data Visualization, Dashboards, APIs, Full-stack, Financial Data Analytics, Complex Data Analysis, OAuth, Back-end Development, Back-end Performance, WebSockets, Analytics, Data Analytics, Reports, Serverless, ETL Development, Finance, Machine Learning, Macroeconomics, Risk Models, Bonds, Natural Language Processing (NLP), Ontologies, CTO, Leadership, CI/CD Pipelines, Social Networks, Generative Pre-trained Transformers (GPT), Real Estate, Trading, Presentations, Mortgages, Sales, Artificial Intelligence (AI), Security, Diagrams, Lending, Videos, Image Compression, Amazon Elastic Transcoder, Apollo, Graphs, Strapi, Web 3.0, Google Data Studio

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