Neville Jos, Data Scientist and Developer in New York, NY, United States
Neville Jos

Data Scientist and Developer in New York, NY, United States

Member since March 1, 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.
Neville is now available for hire

Portfolio

  • Better Mortgage
    Data Science, Excel 2016, Python, Looker, Tableau, Machine Learning...
  • Rose AI
    Python, Neo4j, MongoDB, Redis, Communication, Presentations, Sales...
  • Black Snow Capital
    Macroeconomics, Trading, Risk Models, Excel 2016, Python, Tableau...

Experience

Location

New York, NY, United States

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.

Employment

  • 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, AWS, Amazon Web Services (AWS), Databases, JSON, Data Engineering, Data Pipelines, Data, ETL, Predictive Analytics, Fintech, Data Visualization, Dashboards, APIs, REST APIs, RDBMS
  • 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, AWS EC2, AWS S3, Data Architecture, SQL, AWS, 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
  • 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, AWS EC2, Data Architecture, SQL, AWS, AWS Elastic Beanstalk, Amazon Web Services (AWS), Databases, Data Pipelines, Data, ETL, JavaScript, Predictive Analytics, Fintech, Data Visualization, Dashboards, APIs, REST APIs
  • 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, AWS, AWS EC2, AWS S3, AWS 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
  • 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, AWS Elastic Transcoder, Redis, Security, AWS EC2, AWS S3, Data Architecture, SQL, AWS, AWS Elastic Beanstalk, Amazon Web Services (AWS), Databases, JSON, Front-end, JavaScript, APIs, REST APIs, RDBMS, CSS, HTML
  • 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: ASP, jQuery, SQL Server DBA, Excel 2016, Redis, AWS EC2, Data Architecture, SQL, Databases, JSON, Front-end, JavaScript, PHP, REST APIs, CSS, HTML

Experience

  • 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.

Skills

  • Languages

    Python, SQL, JavaScript, CSS, HTML, PHP 5, PHP, Go
  • Frameworks

    AngularJS, Redux, React Native, Laravel, Ember.js, Flask, ASP
  • Libraries/APIs

    React, Node.js, Interactive Brokers' API, REST APIs, Stanford NLP, jQuery
  • Tools

    Excel 2016, Bloomberg, Kafka Streams, Kibana, Looker, Tableau, AWS ElastiCache, AWS Elastic Transcoder
  • Paradigms

    Data Science, Business Intelligence (BI), API Architecture, ETL, Management
  • Platforms

    AWS Elastic Beanstalk, AWS EC2, Amazon Web Services (AWS), Apache Kafka, Heroku
  • Storage

    PostgreSQL, MongoDB, Redis, AWS S3, Databases, JSON, RDBMS, MySQL, Neo4j, Elasticsearch, Data Pipelines, SQL Server DBA
  • Other

    Research, Communication, Data Cleaning, Data Modeling, Data Analysis, AWS, Data Architecture, Data Engineering, Data, Front-end, SaaS, Predictive Analytics, Fintech, Data Visualization, Dashboards, APIs, Finance, Machine Learning, Macroeconomics, Risk Models, Bonds, Natural Language Processing (NLP), Ontologies, Real Estate, Trading, Presentations, Mortgages, Sales, Artificial Intelligence (AI), Diagrams, Lending, Videos, Image Compression
  • Industry Expertise

    Security

Education

  • Master's Degree in Data Science
    2016 - 2018
    University of Illinois at Urbana-Champaign - Urbana Champaign, IL, USA
  • Bachelor's Degree in Computer Science
    2013 - 2016
    University of Illinois at Urbana-Champaign - Urbana Champaign, IL, USA

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