Data specialist with psychology background. Seeking to directly impact efficiency and enable more rational, powerful decision-making. In my free time, I pursue manual and quantitative trading. Strengths include Python, data visualization, and making statistical insights accessible to non-technical users.
Skills include Python, machine learning (scikit-learn, Keras), data visualization (Tableau, Python libraries), statistical analysis (pandas, Excel, Sheets), automation (Selenium), version control (Git, Github), Google APIs (Sheets, Drive, Maps), SQL, cloud computing (AWS), and non-technical writing.Resume (January 2019)
Notebook and Medium article demonstrating how to programmatically find technical chart patterns in stock data, visualize results, record returns, and implement trade signals using Python and the Alpaca Trade API.
Modeled solar irradiance for the Los Angeles area. Used LSTMs with historical irradiance, weather, and satellite data to predict trends at one day and one week projections.
Group project predicting spread of West Nile Virus in Chicago from 2011 - 2013, using City of Chicago and local weather datasets. Utilized time series, geospatial, and weather data with clustering and multiple models to find the most accurate predictions.
Kaggle competition: Predicted housing prices for dataset of over 2,000 houses and 85 features, scoring 87% accuracy. Used alternative datasets, scikit-learn, and multiple statistical validation techniques.
Calculated the Volatility Index value from SPX options chains scraped on Yahoo!Finance.
Wrote content and copy for fields including eCommerce, travel, personal finance and psychology.
Picked and delivered beer, soda, and hot sauce for local businesses, handled and reconciled payments. Great at parallel parking a box truck.
Performed double bass at gigs, monthly dances, and weekly sessions.
I am incredibly interested in financial trading, no matter what method, timeframe, or instrument. To me, trading is an amazing cocktail of human psychology, decision-making, statistics, economics, and game theory... it never ceases to evolve and change, so there is no real way to "solve" it. I think there are many lessons to be learned from trading including more effective decision-making, restraint, patience, probabilistic thinking, and acceptance of loss.
In my free time I pursue discretionary (meaning manual) currency trading, and seek to connect local traders in my community to share ideas, lessons, and better master this amazing game!