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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've got lots of experience in business and building systems generally - specifically designing large complex layouts in capital markets, trade pricing and execution strategies, quantitative trading and statistical arbitrage, streaming valuation pipelines, messaging integration... stuff like that.

I’m interested in collaborating on deep learning projects - esp in finance and financial markets. Even property (lots of innovation to do there) 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 including a deep learning ensemble that filters signal from noise in financial markets, a two-sided securitizaton marketplace that helps BTR property developers raise cash, and a founder focused startup incubator for fintech, biotech and proptech (yes, I can probably help you raise capital if you need help).

My freelance day job is solving business & data challenges for broker-dealers and investment funds.

📫 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. CoinTrendEval CoinTrendEval Public

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

    Jupyter Notebook

  3. 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

  4. marketpulse marketpulse Public

    Demo scrapes financial news and uses NLP to guage sentiment

    Jupyter Notebook

  5. gs-quant gs-quant Public

    Forked from goldmansachs/gs-quant

    Public Python SDK for quantitative finance

    Jupyter Notebook