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Nithy29/README.md

👋 Hello!  :wave:

I'm Sarvan, IBM i developer and Data Analyst based in Toronto, Canada. Currently studying FinTech at University of Toronto, focusing on quantitative analysis, algorithmic trading with machine learning, artificial neural networks, natural language processing, and blockchain developemt.

To learn more about me, check out LinkedIn.

Technologies & Tools  :toolbox:

IBM i Linux Git npm VS Code Python PostgreSQL Anaconda NumPy Pandas Plotly SciPy Scikit Learn Tensorflow Keras JavaScript MongoDB NodeJS React HTML AWS Lambda Solidity Ethereum

Work Experience  :necktie:

Position Company Field Time Period
Software Architect, IBM i/Gate Three Ellisdon IBM i Developemnt 02/2019 — 06/2022
Sr Solution Architect, CRM Bank of Nova Scotia PEGA Technology 06/2017 — 02/2019
Sr Program Advisory Bank of Nova Scotia Customer Sevice Tech 01/2017 — 06/2017

Education  :mortar_board:

Certificate, FinTech
University of Toronto, Toronto, ON

Diploma, Information Systems
Centennial College, Scarborough, ON

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  1. Cryptocurrency-Wallet Cryptocurrency-Wallet Public

    Code, deploy, and test the contracts associated with launching a crowdsale to distribute KaseiCoin tokens.

    Python

  2. Deep_Learning Deep_Learning Public

    A machine learning algorithmic trading bot that learns and adapts to new data and evolving markets.

    Jupyter Notebook

  3. Joint-Savings-Account Joint-Savings-Account Public

    Smart contracts to automate Joint Account Process

    Solidity

  4. Martian_Token_Crowdsale Martian_Token_Crowdsale Public

    ERC-20 based fungible token crowdsale that will allow people who are moving to Mars to convert their earthling money to KaseiCoin.

    Solidity 1

  5. Sector-Investing-Strategy Sector-Investing-Strategy Public

    We want to provide you with a stock and ETF investment strategy based on a sector analysis. Our product explains the direction of the money flow in each sector

    Jupyter Notebook 1 2

  6. Responsible_Investor Responsible_Investor Public

    we want to show our investors the negative impact of CO2 emmissions on our planet and provide them with a portfolio of environmentally friendly companies that is still lucrative

    Jupyter Notebook 2