Key accomplishments

  • Developed a predictive machine learning model to forecast future prices in all US equities and identify market inefficiencies.
  • Built, tested, and optimized a high-throughput trading bot with C++ that uses a trained neural network,
    to make predictions on real-time stock market data, and executes an automated trading strategy.
  • Initiated research and development of a python deep neural network to predict the band gap of
    atomically thin semiconducting materials.
  • Collected and analyzed large datasets from multiple sources to identify significant trends in temperature,
    solar radiation, and geomagnetic data and quantify the effects of solar radiation and geomagnetic activity
    on temperature.
  • Compared analysis results on data from chemistry dynamics simulations, ground-based instruments, and
    satellite instruments in order to validate the predictive power of the simulations and reveal any major
    discrepancies.
Role 1
Data scientist
Role 2
Machine learning engineer
Unspecified
part-time-16-hours-per-weekcontract
Any
Graduate
United States
Any
NA
Remote
$999,999,999.00 / Annual
Willing to work for paid projects

Tags

Fintech

Education

Experience

Portfolio

Expertise

Research
100

Languages

English

Honors & awards

  • 2016-2020

    Deans List

    Was an the Deans List 7 out of 8 semesters during my time as an undergraduate.

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