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ashatidealiq/README.md

👋 Hi, I’m Ash

I’m interested in machine learning and data engineering projects, and software dev generally.

I'm mostly self taught and primarily a data and AI guy, but I've been at this a while. I was a programmer > turned banker > turned back to programmer.

I've got lots of experience in business and building systems generally. Specifically large complex layouts in capital markets, trade pricing and execution strategies, streaming valuation pipelines, messaging integration... stuff like that.

I’m looking to collaborate on deep learning projects. I'm particularly interested in finance and financial markets. Even property and crypto markets (from a tech perspective at least.) If you're doing something in this space and you need help I would love to connect!

I'm currently working on a few passion projects in the data engineering space. My freelance day job is solving AI & data challenges for broker-dealers, funds and fintechs.

📫 I would love to hear from you on ash@idealiq.co or here on Github.

AT

A short note on the demos here: they're demos. There's a lot more you can and should do before rolling any of these out into production.

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  1. momentumbot momentumbot Public

    Crawls YFinance to get market data, demos a serverless feature store, and uses deep learning to predict Gold, NASDAQ Composite and Bitcoin valuations

    Jupyter Notebook 1

  2. Post-AI-Content-To-Sanity-CMS Post-AI-Content-To-Sanity-CMS Public

    Uses OpenAI API to generate blog posts from a list of titles, and publishes the posts to your Sanity.io CMS.

    Python 1

  3. CoinTrendEval CoinTrendEval Public

    Uses a streaming microbatch API feed and deep learning time series analysis to predict crypto prices

    Jupyter Notebook

  4. data-winners data-winners Public

    Forked from FrontAnalyticsInc/data-winners

    Python and R scripts for web traffic analysis, and optimization. Includes advanced resources for SEO topical authority and semantic content optimization.

    Jupyter Notebook

  5. marketpulse marketpulse Public

    Demo scrapes financial news and uses NLP to guage sentiment

    Jupyter Notebook