Work Experience

Software Developer at Oliphant

  • Migrated GRAV CMS website to the current one used by the users to make payments
  • Developed the front-end source code for applications using Angular based on provided UX/UI design.
  • Supported the development, testing and deployment process of migrating an application into a website using React.
  • Collaborate closely in an Agile environment to ensure quality, security and maintenance of the application, and to ensure code meets development standards and guidelines
  • Implemented Argyle integration
  • Debug and updated Flask source code to fix errors
  • Learned Angular, Flask , Docker containers and networks in order to gain additional software skills to implement into the work project.

Fixed Income Analyst at Schroders

  • Successfully tailored and implemented investment strategies for institutional clients who needed to comply with both the current regulation and their performance goals.
  • Schroders Pyme Fund was top 3 performer in 2017
  • Handled portfolio management, SME funds, mandate funds, traded stocks and bonds
  • Priced bonds, trusts, and post-dated checks and monitored yield spreads
  • Participated in portfolio meetings with trade ideas, highlighting news and events in local and international markets
  • Performed FX & IR modeling and weekly follow-ups using Python applications and provided daily asset pricing using VBA
  • Exchanged and implemented trade ideas with institutional clients daily

Projects

Portfolio Tracker

Track your investment portfolio

  • This is a Spring Boot application for a stock trading platform.
  • It provides user management (registration, authentication, and profile management), stores data in a MySQL database and fetches stock market data from the MarketStack API.
  • Run the application using Docker

CAFCI Pull Data

Track the Argentinean Mutual Fund Industry

  • The code pulls and organizes data available through the public CAFCI API

Portfolio Daily Data

Track the Argentinean Mutual Fund Industry

  • Organized and pulled data available through the Argentinean mutual funds’ chamber (CAFCI) public API using Python
  • Created the backend code to website allowing users login access to select the dates and the name of funds to work with
  • Deployed the frontend code to allow users to create a profile, log in and request the daily asset allocation of a fund

Time series analysis using LSTM

This project explores Bitcoin price using an LSTM model and technical analysis indicators.

  • With the help of an LSTM network, we will try to predict the future price of Bitcoin. In order to do this, we used data based on the price of the past 9 years and calculated technical analysis indicators.

Backtesting using OOP

This project explores Bitcoin price using an LSTM model and technical analysis indicators.

  • With the help of an LSTM network we estimated a model the predictis the future price of BTC for the day after.