2018 - Present (almost 2 years)
Manage a team of 12 to actively source deals, negotiate investments, and consult with portfolio companies • Spearheaded our development program which built partnerships...more with Amazon, Google, and GoDaddy and raised over $80k in donations • Built infrastructure for further investment and helped portfolio raise over $1m in secondary funding
Automated several reporting and testing procedures using python and SQL scripts saving over 300 hours for the lifecycle of the engagement • Streamlined workflow and...more progress tracking processes using JIRA API and custom progress trackers • Conducted exploratory data analysis using statistical models to help our client identify risk points
Equity Research Intern
2017 - Present (over 2 years)
* Worked under the Director of Research to analyze companies for primarily the Taylor Frigon Core Growth Fund (TFCGX). * Analyzed SEC filings, company presentations, and earnings...more calls to determine overall financial condition, business model, and disruptive aspects of products/services. * Utilized stock forecasting software to compute revenue and earnings growth in order to quantitatively determine a company's growth potential. * Extensively researched company's leadership potential and macro-ec
* Manage relations with passed, current, and prospective clients. * Lead a team of skilled individuals to execute specific engagement tasks in a strict timeline. * Provide...more unique branding vision to modernize clientele image and increase brand equity. * Develop and implement in depth marketing campaigns to target specific demographics.
Python, Numpy, Scikit-Learn · • Used the NBA API to automatically scrape and update the previous 30 years of NBA game data • Built a neural network… · More to predict NBA game outcomes and yielded 81.6% accuracy on 2018-2019 season Used dropout as a Bayesian approximation to pick moneyline trades and achieved 34% back-tested return• Used the NBA API to automatically scrape and update the previous 30 years of NBA game data • Built a neural network to predict NBA game outcomes and yielded 81.6% accuracy on 2018-2019 season Used dropout as a Bayesian approximation to pick moneyline trades and achieved 34% back-tested return